# Tue 11:10:04 03-Feb-2009
begin	identify sample_id_H[*,50]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,50]
	units	Angstroms
	features	47
	        207.84 18118.4981    18118.5   4.0 1 1 0.50
	        266.14 17994.0157     17994.   4.0 1 1 1.42
	        319.36 17880.2822    17880.3   4.0 1 1 1.20
	        416.74 17671.8816    17671.8   4.0 1 1 0.70
	        425.51 17653.0899    17653.2   4.0 1 1 2.00
	        520.24 17449.9686    17449.9   4.0 1 1 0.72
	        575.70 17330.8733    17330.9   4.0 1 1 0.32
	        614.01  17248.551    17248.6   4.0 1 1 0.70
	        631.73  17210.459    17210.4   4.0 1 1 0.36
	        672.11 17123.6009    17123.6   4.0 1 1 1.20
	        693.16  17078.289    17078.3   4.0 1 1 0.70
	        725.46 17008.7517    17008.8   4.0 1 1 1.80
	        750.40 16955.0257    16955.1   4.0 1 1 0.52
	        774.23 16903.6728    16903.7   4.0 1 1 1.45
	        803.51 16840.5387    16840.5   4.0 1 1 0.30
	        864.55 16708.8683    16708.8   4.0 1 1 0.83
	        960.11 16502.4599    16502.3   4.0 1 1 0.75
	        987.90 16442.3845    16442.1   4.0 1 1 
	       1012.72 16388.7036    16388.5   4.0 1 1 0.25
	       1030.04 16351.2298    16351.3   4.0 1 1 0.65
	       1045.90 16316.9358    16317.2   4.0 1 1 0.28
	       1083.61 16235.3036    16235.4   4.0 1 1 1.27
	       1102.45 16194.5228    16194.7   4.0 1 1 0.63
	       1132.91 16128.5388    16128.6   4.0 1 1 1.71
	       1155.45 16079.7093    16079.8   4.0 1 1 0.65
	       1178.03 16030.7907    16030.8   4.0 1 1 1.53
	       1204.87 15972.5966    15972.6   4.0 1 1 0.50
	       1262.31 15848.0385    15848.1   4.0 1 1 0.90
	       1362.12 15631.4064    15631.6   4.0 1 1 0.35
	       1377.64 15597.7075    15597.7   4.0 1 1 0.70
	       1403.85 15540.7641    15540.4   4.0 1 1 0.55
	       1453.84 15432.1613    15432.1   4.0 1 1 1.08
	       1470.77 15395.3646    15395.3   4.0 1 1 0.40
	       1499.70  15332.476    15332.4   4.0 1 1 1.15
	       1520.27 15287.7481    15287.8   4.0 1 1 0.58
	       1541.74  15241.046     15241.   4.0 1 1 1.41
	       1566.50 15187.1884     15187.   4.0 1 1 0.38
	       1620.86 15068.9221    15068.9   4.0 1 1 0.66
	       1627.10 15055.3468    15055.5   4.0 1 1 1.95
	       1704.25 14887.4033    14887.7   4.0 1 1 0.78
	       1729.29 14832.8759     14833.   4.0 1 1 0.62
	       1833.91 14604.9583    14604.8   4.0 1 1 0.35
	       1852.65 14564.1208     14564.   4.0 1 1 0.35
	       1873.42 14518.8583     14519.   4.0 1 1 0.60
	       1947.72 14356.8851    14356.7   4.0 1 1 
	       2026.16 14185.8067    14186.1   4.0 1 1 0.20
	       2036.58 14163.0798    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.671272836069
		3093.715814517963
		2850.379520446155
		2604.212260656321
		2356.473587117847
		2108.071742438167
# Tue 18:27:45 03-Feb-2009
begin	identify sample_id_H[*,50]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,50]
	units	Angstroms
	features	52
	        207.84 18118.5206    18118.5   4.0 1 1 0.50
	        266.14  17994.018     17994.   4.0 1 1 1.42
	        319.36 17880.2582    17880.3   4.0 1 1 1.20
	        416.74 17671.8412    17671.8   4.0 1 1 0.70
	        425.51 17653.0545    17653.2   4.0 1 1 2.00
	        520.24  17449.949    17449.9   4.0 1 1 0.72
	        575.70 17330.8879    17330.9   4.0 1 1 0.32
	        614.01 17248.5781    17248.6   4.0 1 1 0.70
	        631.73  17210.488    17210.4   4.0 1 1 0.36
	        672.11 17123.6454    17123.6   4.0 1 1 1.20
	        693.16 17078.3505    17078.3   4.0 1 1 0.70
	        725.46 17008.8163    17008.8   4.0 1 1 1.80
	        750.40 16955.1006    16955.1   4.0 1 1 0.52
	        774.23 16903.7548    16903.7   4.0 1 1 1.45
	        803.51 16840.6388    16840.5   4.0 1 1 0.30
	        864.55 16708.9668    16708.8   4.0 1 1 0.83
	        872.55  16691.708    16692.1   4.0 1 1 2.30
	        936.64 16553.3031    16553.9   4.0 1 1 0.30
	        960.11 16502.5857    16502.3   4.0 1 1 0.75
	        988.14 16442.0042    16442.1   4.0 1 1 
	       1012.72 16388.8429    16388.5   4.0 1 1 0.25
	       1030.04 16351.3791    16351.3   4.0 1 1 0.65
	       1045.90 16317.0657    16317.2   4.0 1 1 0.28
	       1083.61 16235.4507    16235.4   4.0 1 1 1.27
	       1102.45 16194.6608    16194.7   4.0 1 1 0.63
	       1132.91 16128.6923    16128.6   4.0 1 1 1.71
	       1155.45 16079.8606    16079.8   4.0 1 1 0.65
	       1178.03  16030.929    16030.8   4.0 1 1 1.53
	       1204.87  15972.749    15972.6   4.0 1 1 0.50
	       1262.31  15848.179    15848.1   4.0 1 1 0.90
	       1269.51 15832.5617    15833.2   4.0 1 1 2.30
	       1351.46 15654.6894     15655.   4.0 1 1 1.05
	       1362.12 15631.5395    15631.6   4.0 1 1 0.35
	       1377.64 15597.8336    15597.7   4.0 1 1 0.70
	       1404.18 15540.1836    15540.4   4.0 1 1 0.55
	       1453.84 15432.2732    15432.1   4.0 1 1 1.08
	       1470.77 15395.4738    15395.3   4.0 1 1 0.40
	       1499.70 15332.5784    15332.4   4.0 1 1 1.15
	       1520.27 15287.8487    15287.8   4.0 1 1 0.58
	       1541.74 15241.1539     15241.   4.0 1 1 1.41
	       1566.50 15187.2937     15187.   4.0 1 1 0.38
	       1620.86 15069.0088    15068.9   4.0 1 1 0.66
	       1627.10 15055.4278    15055.5   4.0 1 1 1.95
	       1704.25 14887.4659    14887.7   4.0 1 1 0.78
	       1729.29 14832.9331     14833.   4.0 1 1 0.62
	       1791.29 14697.8764    14698.4   4.0 1 1 0.35
	       1833.91 14604.9994    14604.8   4.0 1 1 0.35
	       1852.65 14564.1568     14564.   4.0 1 1 0.35
	       1873.42 14518.8854     14519.   4.0 1 1 0.60
	       1947.72 14356.9001    14356.7   4.0 1 1 
	       2026.16 14185.8332    14186.1   4.0 1 1 0.20
	       2036.58 14163.1048    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.232217060324
		3093.660111757437
		2850.398116154323
		2604.244761604386
		2356.460247018455
		2108.108538294283

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,49]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,49]
	units	Angstroms
	features	52
	        208.20 18118.4544    18118.5   4.0 1 1 0.50
	        266.50 17993.9998     17994.   4.0 1 1 1.42
	        319.67 17880.3644    17880.3   4.0 1 1 1.20
	        417.07 17671.9014    17671.8   4.0 1 1 0.70
	        425.82 17653.1653    17653.2   4.0 1 1 2.00
	        520.55 17450.0236    17449.9   4.0 1 1 0.72
	        576.01 17330.9289    17330.9   4.0 1 1 0.32
	        614.43 17248.3602    17248.6   4.0 1 1 0.70
	        632.08   17210.41    17210.4   4.0 1 1 0.36
	        672.53 17123.3959    17123.6   4.0 1 1 1.20
	        693.45 17078.3691    17078.3   4.0 1 1 0.70
	        725.82 17008.6515    17008.8   4.0 1 1 1.80
	        750.75 16954.9454    16955.1   4.0 1 1 0.52
	        774.52 16903.7224    16903.7   4.0 1 1 1.45
	        803.85 16840.4916    16840.5   4.0 1 1 0.30
	        864.86 16708.8568    16708.8   4.0 1 1 0.83
	        872.51 16692.3524    16692.1   4.0 1 1 2.30
	        936.55 16554.0546    16553.9   4.0 1 1 0.30
	        960.41 16502.4876    16502.3   4.0 1 1 0.75
	        988.22 16442.3613    16442.1   4.0 1 1 
	       1013.06 16388.6525    16388.5   4.0 1 1 0.25
	       1030.40 16351.1446    16351.3   4.0 1 1 0.65
	       1046.12 16317.1172    16317.2   4.0 1 1 0.28
	       1083.90 16235.3486    16235.4   4.0 1 1 1.27
	       1102.73  16194.587    16194.7   4.0 1 1 0.63
	       1133.30 16128.3931    16128.6   4.0 1 1 1.71
	       1155.77  16079.711    16079.8   4.0 1 1 0.65
	       1178.33 16030.8176    16030.8   4.0 1 1 1.53
	       1205.23 15972.5057    15972.6   4.0 1 1 0.50
	       1262.63  15848.035    15848.1   4.0 1 1 0.90
	       1269.55 15833.0159    15833.2   4.0 1 1 2.30
	       1351.43 15655.3323     15655.   4.0 1 1 1.05
	       1362.38 15631.5495    15631.6   4.0 1 1 0.35
	       1377.98 15597.6703    15597.7   4.0 1 1 0.70
	       1404.16 15540.8099    15540.4   4.0 1 1 0.55
	       1454.17 15432.1537    15432.1   4.0 1 1 1.08
	       1471.13 15395.2964    15395.3   4.0 1 1 0.40
	       1500.18 15332.1707    15332.4   4.0 1 1 1.15
	       1520.55 15287.8812    15287.8   4.0 1 1 0.58
	       1542.14 15240.9226     15241.   4.0 1 1 1.41
	       1566.92 15187.0221     15187.   4.0 1 1 0.38
	       1621.32 15068.6854    15068.9   4.0 1 1 0.66
	       1627.42 15055.3962    15055.5   4.0 1 1 1.95
	       1704.52  14887.579    14887.7   4.0 1 1 0.78
	       1729.52 14833.1456     14833.   4.0 1 1 0.62
	       1791.31 14698.5417    14698.4   4.0 1 1 0.35
	       1834.29 14604.8984    14604.8   4.0 1 1 0.35
	       1853.12 14563.8563     14564.   4.0 1 1 0.35
	       1873.66  14519.097     14519.   4.0 1 1 0.60
	       1948.12 14356.7639    14356.7   4.0 1 1 
	       2026.47 14185.8681    14186.1   4.0 1 1 0.20
	       2036.94 14163.0346    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.55196475723
		3093.869268784114
		2850.485675834363
		2604.328397883166
		2356.616605296452
		2108.109465826451

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,48]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,48]
	units	Angstroms
	features	52
	        208.22 18118.4639    18118.5   4.0 1 1 0.50
	        266.47 17994.0531     17994.   4.0 1 1 1.42
	        319.69 17880.2943    17880.3   4.0 1 1 1.20
	        417.12 17671.7604    17671.8   4.0 1 1 0.70
	        425.75  17653.279    17653.2   4.0 1 1 2.00
	        520.63 17449.8251    17449.9   4.0 1 1 0.72
	        576.01 17330.9166    17330.9   4.0 1 1 0.32
	        614.34 17248.5734    17248.6   4.0 1 1 0.70
	        632.07 17210.4503    17210.4   4.0 1 1 0.36
	        672.45 17123.5895    17123.6   4.0 1 1 1.20
	        693.44 17078.4274    17078.3   4.0 1 1 0.70
	        725.86 17008.6267    17008.8   4.0 1 1 1.80
	        750.75 16955.0068    16955.1   4.0 1 1 0.52
	        774.52 16903.7893    16903.7   4.0 1 1 1.45
	        803.97 16840.2866    16840.5   4.0 1 1 0.30
	        864.91 16708.8173    16708.8   4.0 1 1 0.83
	        872.62  16692.181    16692.1   4.0 1 1 2.30
	        936.59 16554.0115    16553.9   4.0 1 1 0.30
	        960.45 16502.4497    16502.3   4.0 1 1 0.75
	        988.08 16442.7166    16442.1   4.0 1 1 
	       1013.14 16388.5134    16388.5   4.0 1 1 0.25
	       1030.39 16351.1983    16351.3   4.0 1 1 0.65
	       1046.34 16316.6861    16317.2   4.0 1 1 0.28
	       1083.92 16235.3617    16235.4   4.0 1 1 1.27
	       1102.77 16194.5422    16194.7   4.0 1 1 0.63
	       1133.19 16128.6523    16128.6   4.0 1 1 1.71
	       1155.80 16079.6714    16079.8   4.0 1 1 0.65
	       1178.37 16030.7574    16030.8   4.0 1 1 1.53
	       1205.12 15972.7737    15972.6   4.0 1 1 0.50
	       1262.63 15848.0591    15848.1   4.0 1 1 0.90
	       1269.58 15832.9834    15833.2   4.0 1 1 2.30
	       1351.43 15655.3337     15655.   4.0 1 1 1.05
	       1362.43 15631.4536    15631.6   4.0 1 1 0.35
	       1378.06 15597.4961    15597.7   4.0 1 1 0.70
	       1404.10 15540.9569    15540.4   4.0 1 1 0.55
	       1454.23 15432.0294    15432.1   4.0 1 1 1.08
	       1471.15 15395.2529    15395.3   4.0 1 1 0.40
	       1500.10 15332.3408    15332.4   4.0 1 1 1.15
	       1520.56 15287.8585    15287.8   4.0 1 1 0.58
	       1542.15 15240.9044     15241.   4.0 1 1 1.41
	       1566.86  15187.166     15187.   4.0 1 1 0.38
	       1621.28  15068.766    15068.9   4.0 1 1 0.66
	       1627.44 15055.3748    15055.5   4.0 1 1 1.95
	       1704.53 14887.5669    14887.7   4.0 1 1 0.78
	       1729.58 14833.0288     14833.   4.0 1 1 0.62
	       1791.33  14698.528    14698.4   4.0 1 1 0.35
	       1834.34 14604.8158    14604.8   4.0 1 1 0.35
	       1853.10 14563.9152     14564.   4.0 1 1 0.35
	       1873.66 14519.1189     14519.   4.0 1 1 0.60
	       1948.13 14356.7584    14356.7   4.0 1 1 
	       2026.49 14185.8327    14186.1   4.0 1 1 0.20
	       2036.92 14163.0845    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.326506623917
		3093.791586964038
		2850.516529436412
		2604.317318589172
		2356.632617919367
		2108.054469035509

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,47]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,47]
	units	Angstroms
	features	52
	        208.14 18118.5237    18118.5   4.0 1 1 0.50
	        266.53 17993.9146     17994.   4.0 1 1 1.42
	        319.68 17880.3583    17880.3   4.0 1 1 1.20
	        417.09 17671.9052    17671.8   4.0 1 1 0.70
	        425.86 17653.1108    17653.2   4.0 1 1 2.00
	        520.60 17449.9601    17449.9   4.0 1 1 0.72
	        575.99 17331.0347    17330.9   4.0 1 1 0.32
	        614.40 17248.4937    17248.6   4.0 1 1 0.70
	        632.15 17210.3131    17210.4   4.0 1 1 0.36
	        672.50 17123.5301    17123.6   4.0 1 1 1.20
	        693.49 17078.3433    17078.3   4.0 1 1 0.70
	        725.83  17008.714    17008.8   4.0 1 1 1.80
	        750.79 16954.9512    16955.1   4.0 1 1 0.52
	        774.57 16903.7055    16903.7   4.0 1 1 1.45
	        803.90 16840.4588    16840.5   4.0 1 1 0.30
	        864.92 16708.8226    16708.8   4.0 1 1 0.83
	        872.53 16692.3805    16692.1   4.0 1 1 2.30
	        936.71 16553.7922    16553.9   4.0 1 1 0.30
	        960.50 16502.3716    16502.3   4.0 1 1 0.75
	        988.29 16442.3015    16442.1   4.0 1 1 
	       1013.01 16388.8358    16388.5   4.0 1 1 0.25
	       1030.39 16351.2481    16351.3   4.0 1 1 0.65
	       1046.27 16316.8756    16317.2   4.0 1 1 0.28
	       1083.87 16235.5123    16235.4   4.0 1 1 1.27
	       1102.78 16194.5614    16194.7   4.0 1 1 0.63
	       1133.25 16128.5663    16128.6   4.0 1 1 1.71
	       1155.82 16079.6872    16079.8   4.0 1 1 0.65
	       1178.34 16030.8744    16030.8   4.0 1 1 1.53
	       1205.23 15972.5826    15972.6   4.0 1 1 0.50
	       1262.69 15847.9774    15848.1   4.0 1 1 0.90
	       1269.55 15833.0883    15833.2   4.0 1 1 2.30
	       1351.48 15655.2745     15655.   4.0 1 1 1.05
	       1362.54  15631.255    15631.6   4.0 1 1 0.35
	       1378.05 15597.5724    15597.7   4.0 1 1 0.70
	       1404.14   15540.91    15540.4   4.0 1 1 0.55
	       1454.21 15432.1261    15432.1   4.0 1 1 1.08
	       1471.20 15395.1989    15395.3   4.0 1 1 0.40
	       1500.07 15332.4393    15332.4   4.0 1 1 1.15
	       1520.54 15287.9275    15287.8   4.0 1 1 0.58
	       1542.16 15240.9003     15241.   4.0 1 1 1.41
	       1566.91 15187.0666     15187.   4.0 1 1 0.38
	       1621.23 15068.8816    15068.9   4.0 1 1 0.66
	       1627.47 15055.3066    15055.5   4.0 1 1 1.95
	       1704.53 14887.5593    14887.7   4.0 1 1 0.78
	       1729.54 14833.0853     14833.   4.0 1 1 0.62
	       1791.30 14698.5734    14698.4   4.0 1 1 0.35
	       1834.32 14604.8344    14604.8   4.0 1 1 0.35
	       1853.14 14563.8097     14564.   4.0 1 1 0.35
	       1873.69 14519.0269     14519.   4.0 1 1 0.60
	       1948.10 14356.8257    14356.7   4.0 1 1 
	       2026.46 14185.9539    14186.1   4.0 1 1 0.20
	       2036.99  14162.978    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.367730220182
		3093.86678025387
		2850.499067601961
		2604.345627002706
		2356.591023920582
		2108.260614541854

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,46]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,46]
	units	Angstroms
	features	52
	        208.19   18118.49    18118.5   4.0 1 1 0.50
	        266.55 17993.9241     17994.   4.0 1 1 1.42
	        319.66  17880.428    17880.3   4.0 1 1 1.20
	        417.06 17671.9857    17671.8   4.0 1 1 0.70
	        425.91 17653.0232    17653.2   4.0 1 1 2.00
	        520.64 17449.8827    17449.9   4.0 1 1 0.72
	        576.05 17330.9081    17330.9   4.0 1 1 0.32
	        614.34 17248.6126    17248.6   4.0 1 1 0.70
	        632.18 17210.2653    17210.4   4.0 1 1 0.36
	        672.45 17123.6338    17123.6   4.0 1 1 1.20
	        693.51 17078.3066    17078.3   4.0 1 1 0.70
	        725.90 17008.5635    17008.8   4.0 1 1 1.80
	        750.71 16955.1154    16955.1   4.0 1 1 0.52
	        774.46 16903.9267    16903.7   4.0 1 1 1.45
	        803.88 16840.4938    16840.5   4.0 1 1 0.30
	        864.97  16708.703    16708.8   4.0 1 1 0.83
	        872.61 16692.2197    16692.1   4.0 1 1 2.30
	        936.71 16553.7714    16553.9   4.0 1 1 0.30
	        960.43  16502.525    16502.3   4.0 1 1 0.75
	        988.15 16442.5891    16442.1   4.0 1 1 
	       1013.22 16388.3783    16388.5   4.0 1 1 0.25
	       1030.44 16351.1277    16351.3   4.0 1 1 0.65
	       1046.27  16316.884    16317.2   4.0 1 1 0.28
	       1083.89 16235.4746    16235.4   4.0 1 1 1.27
	       1102.78 16194.5582    16194.7   4.0 1 1 0.63
	       1133.23 16128.6258    16128.6   4.0 1 1 1.71
	       1155.70 16079.9501    16079.8   4.0 1 1 0.65
	       1178.38  16030.792    16030.8   4.0 1 1 1.53
	       1205.25 15972.5594    15972.6   4.0 1 1 0.50
	       1262.68 15848.0075    15848.1   4.0 1 1 0.90
	       1269.52 15833.1726    15833.2   4.0 1 1 2.30
	       1351.57 15655.0946     15655.   4.0 1 1 1.05
	       1362.50 15631.3588    15631.6   4.0 1 1 0.35
	       1378.06 15597.5684    15597.7   4.0 1 1 0.70
	       1404.18 15540.8377    15540.4   4.0 1 1 0.55
	       1454.24 15432.0856    15432.1   4.0 1 1 1.08
	       1471.15 15395.3284    15395.3   4.0 1 1 0.40
	       1500.11 15332.3662    15332.4   4.0 1 1 1.15
	       1520.56 15287.9022    15287.8   4.0 1 1 0.58
	       1542.17 15240.9114     15241.   4.0 1 1 1.41
	       1566.83 15187.2772     15187.   4.0 1 1 0.38
	       1621.33 15068.6937    15068.9   4.0 1 1 0.66
	       1627.50 15055.2705    15055.5   4.0 1 1 1.95
	       1704.53 14887.5875    14887.7   4.0 1 1 0.78
	       1729.50   14833.22     14833.   4.0 1 1 0.62
	       1791.38 14698.4287    14698.4   4.0 1 1 0.35
	       1834.38 14604.7584    14604.8   4.0 1 1 0.35
	       1853.15 14563.8553     14564.   4.0 1 1 0.35
	       1873.70 14519.0685     14519.   4.0 1 1 0.60
	       1948.10 14356.8786    14356.7   4.0 1 1 
	       2026.45 14186.0385    14186.1   4.0 1 1 0.20
	       2037.07 14162.8721    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.483474297208
		3093.878491251034
		2850.494488714209
		2604.349452789977
		2356.599184869577
		2108.295418542342

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,45]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,45]
	units	Angstroms
	features	52
	        208.26 18118.4527    18118.5   4.0 1 1 0.50
	        266.53 17994.0315     17994.   4.0 1 1 1.42
	        319.70 17880.3917    17880.3   4.0 1 1 1.20
	        417.10 17671.9245    17671.8   4.0 1 1 0.70
	        425.94 17653.0003    17653.2   4.0 1 1 2.00
	        520.72 17449.7775    17449.9   4.0 1 1 0.72
	        576.13 17330.8099    17330.9   4.0 1 1 0.32
	        614.29 17248.8156    17248.6   4.0 1 1 0.70
	        632.16 17210.4144    17210.4   4.0 1 1 0.36
	        672.52 17123.5864    17123.6   4.0 1 1 1.20
	        693.58  17078.275    17078.3   4.0 1 1 0.70
	        725.87 17008.7504    17008.8   4.0 1 1 1.80
	        750.73 16955.1946    16955.1   4.0 1 1 0.52
	        774.58 16903.8077    16903.7   4.0 1 1 1.45
	        804.01  16840.359    16840.5   4.0 1 1 0.30
	        865.00 16708.7558    16708.8   4.0 1 1 0.83
	        872.61 16692.3403    16692.1   4.0 1 1 2.30
	        936.64 16554.0372    16553.9   4.0 1 1 0.30
	        960.85 16501.7215    16502.3   4.0 1 1 0.75
	        988.17 16442.6587    16442.1   4.0 1 1 
	       1013.19 16388.5332    16388.5   4.0 1 1 0.25
	       1030.48 16351.1324    16351.3   4.0 1 1 0.65
	       1046.26 16316.9904    16317.2   4.0 1 1 0.28
	       1083.95 16235.4019    16235.4   4.0 1 1 1.27
	       1102.80 16194.5906    16194.7   4.0 1 1 0.63
	       1133.22 16128.6857    16128.6   4.0 1 1 1.71
	       1155.77 16079.8361    16079.8   4.0 1 1 0.65
	       1178.44 16030.7051    16030.8   4.0 1 1 1.53
	       1205.22 15972.6352    15972.6   4.0 1 1 0.50
	       1262.69 15847.9957    15848.1   4.0 1 1 0.90
	       1269.52 15833.1877    15833.2   4.0 1 1 2.30
	       1351.56 15655.1181     15655.   4.0 1 1 1.05
	       1362.49 15631.3814    15631.6   4.0 1 1 0.35
	       1377.99 15597.7212    15597.7   4.0 1 1 0.70
	       1404.19 15540.8167    15540.4   4.0 1 1 0.55
	       1454.18 15432.1904    15432.1   4.0 1 1 1.08
	       1471.16 15395.2899    15395.3   4.0 1 1 0.40
	       1500.13 15332.3179    15332.4   4.0 1 1 1.15
	       1520.60  15287.816    15287.8   4.0 1 1 0.58
	       1542.16 15240.9405     15241.   4.0 1 1 1.41
	       1566.90 15187.1253     15187.   4.0 1 1 0.38
	       1621.35 15068.6678    15068.9   4.0 1 1 0.66
	       1627.43 15055.4198    15055.5   4.0 1 1 1.95
	       1704.54 14887.5941    14887.7   4.0 1 1 0.78
	       1729.51 14833.2051     14833.   4.0 1 1 0.62
	       1791.37 14698.4691    14698.4   4.0 1 1 0.35
	       1834.38 14604.7556    14604.8   4.0 1 1 0.35
	       1853.13 14563.9033     14564.   4.0 1 1 0.35
	       1873.72 14519.0116     14519.   4.0 1 1 0.60
	       1948.13 14356.8072    14356.7   4.0 1 1 
	       2026.45 14185.9815    14186.1   4.0 1 1 0.20
	       2037.00  14162.969    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.284580240398
		3093.799151529041
		2850.551185470617
		2604.32420670685
		2356.635541840865
		2108.096245226303

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,44]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,44]
	units	Angstroms
	features	52
	        208.27 18118.5194    18118.5   4.0 1 1 0.50
	        266.59 17993.9546     17994.   4.0 1 1 1.42
	        319.74 17880.3503    17880.3   4.0 1 1 1.20
	        417.15 17671.8387    17671.8   4.0 1 1 0.70
	        425.90  17653.083    17653.2   4.0 1 1 2.00
	        520.63 17449.9418    17449.9   4.0 1 1 0.72
	        576.12 17330.8046    17330.9   4.0 1 1 0.32
	        614.39 17248.5658    17248.6   4.0 1 1 0.70
	        632.12 17210.4365    17210.4   4.0 1 1 0.36
	        672.50 17123.5875    17123.6   4.0 1 1 1.20
	        693.49 17078.4069    17078.3   4.0 1 1 0.70
	        725.84 17008.7706    17008.8   4.0 1 1 1.80
	        750.74 16955.1301    16955.1   4.0 1 1 0.52
	        774.64 16903.6196    16903.7   4.0 1 1 1.45
	        803.86 16840.6275    16840.5   4.0 1 1 0.30
	        864.92 16708.9034    16708.8   4.0 1 1 0.83
	        872.66 16692.1942    16692.1   4.0 1 1 2.30
	        936.72 16553.8397    16553.9   4.0 1 1 0.30
	        960.42 16502.6355    16502.3   4.0 1 1 0.75
	        988.34 16442.2696    16442.1   4.0 1 1 
	       1013.22   16388.48    16388.5   4.0 1 1 0.25
	       1030.45 16351.2099    16351.3   4.0 1 1 0.65
	       1046.38 16316.7421    16317.2   4.0 1 1 0.28
	       1083.98 16235.3519    16235.4   4.0 1 1 1.27
	       1102.83 16194.5474    16194.7   4.0 1 1 0.63
	       1133.30  16128.551    16128.6   4.0 1 1 1.71
	       1155.91  16079.575    16079.8   4.0 1 1 0.65
	       1178.45 16030.7247    16030.8   4.0 1 1 1.53
	       1205.23 15972.6712    15972.6   4.0 1 1 0.50
	       1262.69 15848.0674    15848.1   4.0 1 1 0.90
	       1269.54 15833.1981    15833.2   4.0 1 1 2.30
	       1351.55 15655.1994     15655.   4.0 1 1 1.05
	       1362.52 15631.3857    15631.6   4.0 1 1 0.35
	       1377.98 15597.7978    15597.7   4.0 1 1 0.70
	       1404.22 15540.8194    15540.4   4.0 1 1 0.55
	       1454.26 15432.0812    15432.1   4.0 1 1 1.08
	       1471.17  15395.327    15395.3   4.0 1 1 0.40
	       1500.09 15332.4678    15332.4   4.0 1 1 1.15
	       1520.58 15287.9019    15287.8   4.0 1 1 0.58
	       1542.21 15240.8664     15241.   4.0 1 1 1.41
	       1566.92 15187.1247     15187.   4.0 1 1 0.38
	       1621.31 15068.7901    15068.9   4.0 1 1 0.66
	       1627.48  15055.354    15055.5   4.0 1 1 1.95
	       1704.54  14887.603    14887.7   4.0 1 1 0.78
	       1729.55 14833.1511     14833.   4.0 1 1 0.62
	       1791.38 14698.4792    14698.4   4.0 1 1 0.35
	       1834.40 14604.7514    14604.8   4.0 1 1 0.35
	       1853.17 14563.8577     14564.   4.0 1 1 0.35
	       1873.72 14519.0613     14519.   4.0 1 1 0.60
	       1948.25 14356.6008    14356.7   4.0 1 1 
	       2026.52 14185.9443    14186.1   4.0 1 1 0.20
	       2036.98 14163.1379    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.320918170813
		3093.838997303887
		2850.519601409811
		2604.35595638996
		2356.603619605145
		2108.333804276418

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,43]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,43]
	units	Angstroms
	features	52
	        208.28 18118.5037    18118.5   4.0 1 1 0.50
	        266.56 17994.0214     17994.   4.0 1 1 1.42
	        319.78 17880.2617    17880.3   4.0 1 1 1.20
	        417.20 17671.7307    17671.8   4.0 1 1 0.70
	        425.82 17653.2635    17653.2   4.0 1 1 2.00
	        520.64 17449.9223    17449.9   4.0 1 1 0.72
	        576.06 17330.9326    17330.9   4.0 1 1 0.32
	        614.42 17248.5002    17248.6   4.0 1 1 0.70
	        632.11 17210.4604    17210.4   4.0 1 1 0.36
	        672.39 17123.8041    17123.6   4.0 1 1 1.20
	        693.65 17078.0493    17078.3   4.0 1 1 0.70
	        725.87 17008.6786    17008.8   4.0 1 1 1.80
	        750.78 16955.0142    16955.1   4.0 1 1 0.52
	        774.57 16903.7462    16903.7   4.0 1 1 1.45
	        803.94  16840.434    16840.5   4.0 1 1 0.30
	        864.88 16708.9459    16708.8   4.0 1 1 0.83
	        872.60   16692.28    16692.1   4.0 1 1 2.30
	        936.54 16554.1842    16553.9   4.0 1 1 0.30
	        960.48 16502.4562    16502.3   4.0 1 1 0.75
	        988.31 16442.2848    16442.1   4.0 1 1 
	       1012.96 16388.9869    16388.5   4.0 1 1 0.25
	       1030.49  16351.052    16351.3   4.0 1 1 0.65
	       1046.33 16316.7915    16317.2   4.0 1 1 0.28
	       1084.03 16235.1844    16235.4   4.0 1 1 1.27
	       1102.87 16194.3987    16194.7   4.0 1 1 0.63
	       1133.32 16128.4448    16128.6   4.0 1 1 1.71
	       1155.85 16079.6244    16079.8   4.0 1 1 0.65
	       1178.43 16030.7027    16030.8   4.0 1 1 1.53
	       1205.19 15972.6824    15972.6   4.0 1 1 0.50
	       1262.73 15847.9094    15848.1   4.0 1 1 0.90
	       1269.56 15833.0928    15833.2   4.0 1 1 2.30
	       1351.41 15655.4558     15655.   4.0 1 1 1.05
	       1362.59 15631.1878    15631.6   4.0 1 1 0.35
	       1377.97  15597.789    15597.7   4.0 1 1 0.70
	       1403.97 15541.3197    15540.4   4.0 1 1 0.55
	       1454.19 15432.1953    15432.1   4.0 1 1 1.08
	       1471.18 15395.2817    15395.3   4.0 1 1 0.40
	       1500.20 15332.2054    15332.4   4.0 1 1 1.15
	       1520.66 15287.7291    15287.8   4.0 1 1 0.58
	       1542.19 15240.8966     15241.   4.0 1 1 1.41
	       1566.91  15187.145     15187.   4.0 1 1 0.38
	       1621.34 15068.7215    15068.9   4.0 1 1 0.66
	       1627.47 15055.3863    15055.5   4.0 1 1 1.95
	       1704.58 14887.5536    14887.7   4.0 1 1 0.78
	       1729.56 14833.1589     14833.   4.0 1 1 0.62
	       1791.36 14698.5358    14698.4   4.0 1 1 0.35
	       1834.40 14604.7534    14604.8   4.0 1 1 0.35
	       1853.17 14563.8554     14564.   4.0 1 1 0.35
	       1873.72 14519.0654     14519.   4.0 1 1 0.60
	       1948.17 14356.7408    14356.7   4.0 1 1 
	       2026.53  14185.831    14186.1   4.0 1 1 0.20
	       2036.93 14163.1485    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.249807673372
		3093.842279027304
		2850.522503873655
		2604.332225228493
		2356.646440458682
		2108.074090020276

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,42]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,42]
	units	Angstroms
	features	52
	        208.23 18118.5342    18118.5   4.0 1 1 0.50
	        266.58 17993.9467     17994.   4.0 1 1 1.42
	        319.74 17880.3378    17880.3   4.0 1 1 1.20
	        417.20 17671.7411    17671.8   4.0 1 1 0.70
	        425.87 17653.1677    17653.2   4.0 1 1 2.00
	        520.67 17449.8879    17449.9   4.0 1 1 0.72
	        576.05 17330.9757    17330.9   4.0 1 1 0.32
	        614.46 17248.4474    17248.6   4.0 1 1 0.70
	        632.00 17210.7292    17210.4   4.0 1 1 0.36
	        672.49 17123.6443    17123.6   4.0 1 1 1.20
	        693.56 17078.2941    17078.3   4.0 1 1 0.70
	        725.95 17008.5442    17008.8   4.0 1 1 1.80
	        750.87 16954.8658    16955.1   4.0 1 1 0.52
	        774.58 16903.7808    16903.7   4.0 1 1 1.45
	        803.90 16840.5817    16840.5   4.0 1 1 0.30
	        864.89 16708.9986    16708.8   4.0 1 1 0.83
	        872.71 16692.1078    16692.1   4.0 1 1 2.30
	        936.65 16554.0381    16553.9   4.0 1 1 0.30
	        960.55 16502.3854    16502.3   4.0 1 1 0.75
	        988.35  16442.292    16442.1   4.0 1 1 
	       1013.17 16388.6293    16388.5   4.0 1 1 0.25
	       1030.55 16351.0266    16351.3   4.0 1 1 0.65
	       1046.38  16316.781    16317.2   4.0 1 1 0.28
	       1083.93 16235.4969    16235.4   4.0 1 1 1.27
	       1102.81 16194.6405    16194.7   4.0 1 1 0.63
	       1133.33 16128.5386    16128.6   4.0 1 1 1.71
	       1155.89  16079.668    16079.8   4.0 1 1 0.65
	       1178.40 16030.8747    16030.8   4.0 1 1 1.53
	       1205.36 15972.4394    15972.6   4.0 1 1 0.50
	       1262.61 15848.2772    15848.1   4.0 1 1 0.90
	       1269.62 15833.0759    15833.2   4.0 1 1 2.30
	       1351.60  15655.149     15655.   4.0 1 1 1.05
	       1362.48 15631.5141    15631.6   4.0 1 1 0.35
	       1378.10 15597.5944    15597.7   4.0 1 1 0.70
	       1404.20 15540.9038    15540.4   4.0 1 1 0.55
	       1454.26 15432.1297    15432.1   4.0 1 1 1.08
	       1471.23 15395.2481    15395.3   4.0 1 1 0.40
	       1500.18 15332.3023    15332.4   4.0 1 1 1.15
	       1520.62 15287.8537    15287.8   4.0 1 1 0.58
	       1542.23 15240.8751     15241.   4.0 1 1 1.41
	       1566.88 15187.2585     15187.   4.0 1 1 0.38
	       1621.36 15068.7022    15068.9   4.0 1 1 0.66
	       1627.49 15055.3617    15055.5   4.0 1 1 1.95
	       1704.55 14887.6188    14887.7   4.0 1 1 0.78
	       1729.61 14833.0518     14833.   4.0 1 1 0.62
	       1791.37  14698.542    14698.4   4.0 1 1 0.35
	       1834.38 14604.8318    14604.8   4.0 1 1 0.35
	       1853.21 14563.8044     14564.   4.0 1 1 0.35
	       1873.70  14519.142     14519.   4.0 1 1 0.60
	       1948.24 14356.6744    14356.7   4.0 1 1 
	       2026.54 14185.9676    14186.1   4.0 1 1 0.20
	       2037.06 14163.0262    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.933591764381
		3093.855640089977
		2850.518813177043
		2604.370535222563
		2356.598002033597
		2108.411850730935

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,41]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,41]
	units	Angstroms
	features	52
	        208.33  18118.495    18118.5   4.0 1 1 0.50
	        266.62 17993.9726     17994.   4.0 1 1 1.42
	        319.75  17880.384    17880.3   4.0 1 1 1.20
	        417.20 17671.7773    17671.8   4.0 1 1 0.70
	        425.91 17653.1032    17653.2   4.0 1 1 2.00
	        520.61 17450.0393    17449.9   4.0 1 1 0.72
	        576.11 17330.8627    17330.9   4.0 1 1 0.32
	        614.38  17248.614    17248.6   4.0 1 1 0.70
	        632.13 17210.4544    17210.4   4.0 1 1 0.36
	        672.43 17123.7654    17123.6   4.0 1 1 1.20
	        693.64 17078.1309    17078.3   4.0 1 1 0.70
	        725.91 17008.6532    17008.8   4.0 1 1 1.80
	        750.86 16954.8988    16955.1   4.0 1 1 0.52
	        774.65 16903.6273    16903.7   4.0 1 1 1.45
	        803.83  16840.711    16840.5   4.0 1 1 0.30
	        865.04 16708.6554    16708.8   4.0 1 1 0.83
	        872.71  16692.094    16692.1   4.0 1 1 2.30
	        936.67 16553.9492    16553.9   4.0 1 1 0.30
	        960.49 16502.4821    16502.3   4.0 1 1 0.75
	        988.27 16442.4116    16442.1   4.0 1 1 
	       1013.13 16388.6552    16388.5   4.0 1 1 0.25
	       1030.36 16351.3882    16351.3   4.0 1 1 0.65
	       1046.19 16317.1385    16317.2   4.0 1 1 0.28
	       1083.94 16235.4221    16235.4   4.0 1 1 1.27
	       1102.90 16194.3772    16194.7   4.0 1 1 0.63
	       1133.34 16128.4454    16128.6   4.0 1 1 1.71
	       1155.77 16079.8498    16079.8   4.0 1 1 0.65
	       1178.47 16030.6452    16030.8   4.0 1 1 1.53
	       1205.32 15972.4493    15972.6   4.0 1 1 0.50
	       1262.52 15848.3838    15848.1   4.0 1 1 0.90
	       1269.59 15833.0483    15833.2   4.0 1 1 2.30
	       1351.56 15655.1465     15655.   4.0 1 1 1.05
	       1362.49 15631.4143    15631.6   4.0 1 1 0.35
	       1378.11 15597.4932    15597.7   4.0 1 1 0.70
	       1404.19 15540.8497    15540.4   4.0 1 1 0.55
	       1454.27 15432.0348    15432.1   4.0 1 1 1.08
	       1471.13  15395.402    15395.3   4.0 1 1 0.40
	       1500.19 15332.2266    15332.4   4.0 1 1 1.15
	       1520.54  15287.991    15287.8   4.0 1 1 0.58
	       1542.19 15240.8987     15241.   4.0 1 1 1.41
	       1566.89 15187.1889     15187.   4.0 1 1 0.38
	       1621.31 15068.7895    15068.9   4.0 1 1 0.66
	       1627.53 15055.2704    15055.5   4.0 1 1 1.95
	       1704.56 14887.5866    14887.7   4.0 1 1 0.78
	       1729.56  14833.157     14833.   4.0 1 1 0.62
	       1791.36 14698.5715    14698.4   4.0 1 1 0.35
	       1834.42  14604.773    14604.8   4.0 1 1 0.35
	       1853.20 14563.8503     14564.   4.0 1 1 0.35
	       1873.72 14519.1442     14519.   4.0 1 1 0.60
	       1948.29 14356.6031    14356.7   4.0 1 1 
	       2026.54 14186.0098    14186.1   4.0 1 1 0.20
	       2037.08 14163.0144    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.47752091713
		3093.842216941463
		2850.532230711097
		2604.338280102286
		2356.631897383593
		2108.337739206872

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,40]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,40]
	units	Angstroms
	features	52
	        208.38 18118.3851    18118.5   4.0 1 1 0.50
	        266.56 17994.0827     17994.   4.0 1 1 1.42
	        319.72 17880.4152    17880.3   4.0 1 1 1.20
	        417.17 17671.8025    17671.8   4.0 1 1 0.70
	        425.85 17653.2208    17653.2   4.0 1 1 2.00
	        520.62 17450.0105    17449.9   4.0 1 1 0.72
	        576.10 17330.9011    17330.9   4.0 1 1 0.32
	        614.49 17248.4033    17248.6   4.0 1 1 0.70
	        632.25  17210.239    17210.4   4.0 1 1 0.36
	        672.51 17123.6516    17123.6   4.0 1 1 1.20
	        693.51  17078.444    17078.3   4.0 1 1 0.70
	        725.93 17008.6511    17008.8   4.0 1 1 1.80
	        750.79 16955.1093    16955.1   4.0 1 1 0.52
	        774.67 16903.6495    16903.7   4.0 1 1 1.45
	        804.08 16840.2466    16840.5   4.0 1 1 0.30
	        865.04 16708.7279    16708.8   4.0 1 1 0.83
	        872.81 16691.9646    16692.1   4.0 1 1 2.30
	        936.68 16554.0243    16553.9   4.0 1 1 0.30
	        960.58 16502.3575    16502.3   4.0 1 1 0.75
	        988.15 16442.7667    16442.1   4.0 1 1 
	       1013.17 16388.6575    16388.5   4.0 1 1 0.25
	       1030.40 16351.3814    16351.3   4.0 1 1 0.65
	       1046.23 16317.1183    16317.2   4.0 1 1 0.28
	       1083.99 16235.4081    16235.4   4.0 1 1 1.27
	       1102.87 16194.5093    16194.7   4.0 1 1 0.63
	       1133.31 16128.5823    16128.6   4.0 1 1 1.71
	       1155.83 16079.8058    16079.8   4.0 1 1 0.65
	       1178.43 16030.8181    16030.8   4.0 1 1 1.53
	       1205.25 15972.6779    15972.6   4.0 1 1 0.50
	       1262.80 15847.8723    15848.1   4.0 1 1 0.90
	       1269.66 15832.9997    15833.2   4.0 1 1 2.30
	       1351.53 15655.3061     15655.   4.0 1 1 1.05
	       1362.55 15631.3881    15631.6   4.0 1 1 0.35
	       1378.10 15597.6134    15597.7   4.0 1 1 0.70
	       1404.30 15540.7094    15540.4   4.0 1 1 0.55
	       1454.29 15432.1041    15432.1   4.0 1 1 1.08
	       1471.24 15395.2773    15395.3   4.0 1 1 0.40
	       1500.20   15332.31    15332.4   4.0 1 1 1.15
	       1520.62 15287.9254    15287.8   4.0 1 1 0.58
	       1542.25 15240.8825     15241.   4.0 1 1 1.41
	       1567.04 15186.9836     15187.   4.0 1 1 0.38
	       1621.32 15068.8825    15068.9   4.0 1 1 0.66
	       1627.71 15054.9907    15055.5   4.0 1 1 1.95
	       1704.52 14887.7966    14887.7   4.0 1 1 0.78
	       1729.60 14833.1887     14833.   4.0 1 1 0.62
	       1791.38 14698.6172    14698.4   4.0 1 1 0.35
	       1834.43 14604.8136    14604.8   4.0 1 1 0.35
	       1853.24 14563.8215     14564.   4.0 1 1 0.35
	       1873.73 14519.1534     14519.   4.0 1 1 0.60
	       1948.20 14356.7888    14356.7   4.0 1 1 
	       2026.55 14185.8599    14186.1   4.0 1 1 0.20
	       2037.03 14163.0035    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.906355504327
		3093.789897944054
		2850.554490075452
		2604.345221605073
		2356.677927114779
		2108.006023502619

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,39]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,39]
	units	Angstroms
	features	52
	        208.34 18118.4704    18118.5   4.0 1 1 0.50
	        266.66 17993.9417     17994.   4.0 1 1 1.42
	        319.75 17880.4471    17880.3   4.0 1 1 1.20
	        417.21 17671.8256    17671.8   4.0 1 1 0.70
	        425.92 17653.1699    17653.2   4.0 1 1 2.00
	        520.67 17449.9829    17449.9   4.0 1 1 0.72
	        576.10 17330.9522    17330.9   4.0 1 1 0.32
	        614.48 17248.4613    17248.6   4.0 1 1 0.70
	        632.25 17210.2619    17210.4   4.0 1 1 0.36
	        672.51  17123.651    17123.6   4.0 1 1 1.20
	        693.67 17078.1267    17078.3   4.0 1 1 0.70
	        725.87 17008.7804    17008.8   4.0 1 1 1.80
	        750.74 16955.2047    16955.1   4.0 1 1 0.52
	        774.65 16903.6794    16903.7   4.0 1 1 1.45
	        804.06 16840.2685    16840.5   4.0 1 1 0.30
	        864.88 16709.0572    16708.8   4.0 1 1 0.83
	        872.72 16692.1297    16692.1   4.0 1 1 2.30
	        936.70 16553.9457    16553.9   4.0 1 1 0.30
	        960.54 16502.4407    16502.3   4.0 1 1 0.75
	        988.30 16442.4177    16442.1   4.0 1 1 
	       1013.21 16388.5553    16388.5   4.0 1 1 0.25
	       1030.41 16351.3402    16351.3   4.0 1 1 0.65
	       1046.29 16316.9895    16317.2   4.0 1 1 0.28
	       1084.03  16235.311    16235.4   4.0 1 1 1.27
	       1102.81 16194.6329    16194.7   4.0 1 1 0.63
	       1133.37 16128.4532    16128.6   4.0 1 1 1.71
	       1155.83 16079.7979    16079.8   4.0 1 1 0.65
	       1178.48 16030.7128    16030.8   4.0 1 1 1.53
	       1205.25 15972.6699    15972.6   4.0 1 1 0.50
	       1262.75  15847.987    15848.1   4.0 1 1 0.90
	       1269.57 15833.1779    15833.2   4.0 1 1 2.30
	       1351.58 15655.1845     15655.   4.0 1 1 1.05
	       1362.52 15631.4287    15631.6   4.0 1 1 0.35
	       1378.11 15597.5738    15597.7   4.0 1 1 0.70
	       1404.21 15540.8834    15540.4   4.0 1 1 0.55
	       1454.32 15432.0195    15432.1   4.0 1 1 1.08
	       1471.18 15395.3679    15395.3   4.0 1 1 0.40
	       1500.21  15332.265    15332.4   4.0 1 1 1.15
	       1520.67 15287.7738    15287.8   4.0 1 1 0.58
	       1542.25 15240.8455     15241.   4.0 1 1 1.41
	       1566.93 15187.1663     15187.   4.0 1 1 0.38
	       1621.32 15068.8177    15068.9   4.0 1 1 0.66
	       1627.51 15055.3621    15055.5   4.0 1 1 1.95
	       1704.55 14887.6601    14887.7   4.0 1 1 0.78
	       1729.56 14833.1977     14833.   4.0 1 1 0.62
	       1791.35  14698.604    14698.4   4.0 1 1 0.35
	       1834.39 14604.8438    14604.8   4.0 1 1 0.35
	       1853.25 14563.7305     14564.   4.0 1 1 0.35
	       1873.77 14519.0316     14519.   4.0 1 1 0.60
	       1948.24 14356.6987    14356.7   4.0 1 1 
	       2026.54 14185.9711    14186.1   4.0 1 1 0.20
	       2037.05 14163.0323    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.060372927451
		3093.886831853585
		2850.528794998612
		2604.363533528679
		2356.620160593478
		2108.314536236315

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,38]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,38]
	units	Angstroms
	features	52
	        208.27 18118.5112    18118.5   4.0 1 1 0.50
	        266.62 17993.9144     17994.   4.0 1 1 1.42
	        319.74 17880.3893    17880.3   4.0 1 1 1.20
	        417.19  17671.813    17671.8   4.0 1 1 0.70
	        425.87 17653.2217    17653.2   4.0 1 1 2.00
	        520.65 17449.9935    17449.9   4.0 1 1 0.72
	        576.23 17330.6447    17330.9   4.0 1 1 0.32
	        614.43 17248.5663    17248.6   4.0 1 1 0.70
	        632.17 17210.4319    17210.4   4.0 1 1 0.36
	        672.43  17123.831    17123.6   4.0 1 1 1.20
	        693.71  17078.036    17078.3   4.0 1 1 0.70
	        725.81 17008.9258    17008.8   4.0 1 1 1.80
	        750.81 16955.0736    16955.1   4.0 1 1 0.52
	        774.61 16903.7823    16903.7   4.0 1 1 1.45
	        804.06 16840.2965    16840.5   4.0 1 1 0.30
	        864.98 16708.8579    16708.8   4.0 1 1 0.83
	        872.78 16692.0344    16692.1   4.0 1 1 2.30
	        936.67 16554.0414    16553.9   4.0 1 1 0.30
	        960.47 16502.6137    16502.3   4.0 1 1 0.75
	        988.27 16442.5189    16442.1   4.0 1 1 
	       1013.25 16388.5062    16388.5   4.0 1 1 0.25
	       1030.54 16351.1004    16351.3   4.0 1 1 0.65
	       1046.29 16317.0207    16317.2   4.0 1 1 0.28
	       1084.09 16235.1965    16235.4   4.0 1 1 1.27
	       1102.87 16194.5483    16194.7   4.0 1 1 0.63
	       1133.37 16128.4793    16128.6   4.0 1 1 1.71
	       1155.89 16079.7019    16079.8   4.0 1 1 0.65
	       1178.44 16030.8303    16030.8   4.0 1 1 1.53
	       1205.31 15972.5897    15972.6   4.0 1 1 0.50
	       1262.79 15847.9258    15848.1   4.0 1 1 0.90
	       1269.56  15833.236    15833.2   4.0 1 1 2.30
	       1351.45 15655.5032     15655.   4.0 1 1 1.05
	       1362.52 15631.4625    15631.6   4.0 1 1 0.35
	       1378.17 15597.4731    15597.7   4.0 1 1 0.70
	       1404.15  15541.049    15540.4   4.0 1 1 0.55
	       1454.29 15432.0873    15432.1   4.0 1 1 1.08
	       1471.25 15395.2349    15395.3   4.0 1 1 0.40
	       1500.21 15332.2656    15332.4   4.0 1 1 1.15
	       1520.68 15287.7509    15287.8   4.0 1 1 0.58
	       1542.22 15240.9189     15241.   4.0 1 1 1.41
	       1567.02 15186.9701     15187.   4.0 1 1 0.38
	       1621.35 15068.7766    15068.9   4.0 1 1 0.66
	       1627.48 15055.4221    15055.5   4.0 1 1 1.95
	       1704.58 14887.6081    14887.7   4.0 1 1 0.78
	       1729.59 14833.1386     14833.   4.0 1 1 0.62
	       1791.40 14698.5287    14698.4   4.0 1 1 0.35
	       1834.40 14604.8651    14604.8   4.0 1 1 0.35
	       1853.21 14563.8678     14564.   4.0 1 1 0.35
	       1873.76 14519.0928     14519.   4.0 1 1 0.60
	       1948.28 14356.7011    14356.7   4.0 1 1 
	       2026.64  14185.895    14186.1   4.0 1 1 0.20
	       2037.12 14163.0557    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.042669645475
		3093.850516514109
		2850.536558202982
		2604.370484089592
		2356.607030221603
		2108.534827466106

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,37]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,37]
	units	Angstroms
	features	52
	        208.33 18118.4543    18118.5   4.0 1 1 0.50
	        266.65 17993.9587     17994.   4.0 1 1 1.42
	        319.73 17880.5031    17880.3   4.0 1 1 1.20
	        417.21 17671.8779    17671.8   4.0 1 1 0.70
	        425.99 17653.0594    17653.2   4.0 1 1 2.00
	        520.81 17449.7072    17449.9   4.0 1 1 0.72
	        576.20 17330.7541    17330.9   4.0 1 1 0.32
	        614.38 17248.6992    17248.6   4.0 1 1 0.70
	        632.10 17210.6056    17210.4   4.0 1 1 0.36
	        672.53 17123.6207    17123.6   4.0 1 1 1.20
	        693.55 17078.3901    17078.3   4.0 1 1 0.70
	        725.90  17008.725    17008.8   4.0 1 1 1.80
	        750.77 16955.1595    16955.1   4.0 1 1 0.52
	        774.66 16903.6703    16903.7   4.0 1 1 1.45
	        803.96 16840.4895    16840.5   4.0 1 1 0.30
	        865.12 16708.5412    16708.8   4.0 1 1 0.83
	        872.74 16692.0885    16692.1   4.0 1 1 2.30
	        936.76 16553.8282    16553.9   4.0 1 1 0.30
	        960.60 16502.3269    16502.3   4.0 1 1 0.75
	        988.20 16442.6451    16442.1   4.0 1 1 
	       1013.06 16388.8935    16388.5   4.0 1 1 0.25
	       1030.40 16351.3757    16351.3   4.0 1 1 0.65
	       1046.39 16316.7836    16317.2   4.0 1 1 0.28
	       1084.09 16235.1899    16235.4   4.0 1 1 1.27
	       1102.92 16194.4228    16194.7   4.0 1 1 0.63
	       1133.33 16128.5707    16128.6   4.0 1 1 1.71
	       1155.84 16079.8056    16079.8   4.0 1 1 0.65
	       1178.48 16030.7356    16030.8   4.0 1 1 1.53
	       1205.27 15972.6771    15972.6   4.0 1 1 0.50
	       1262.69 15848.1483    15848.1   4.0 1 1 0.90
	       1269.64 15833.0674    15833.2   4.0 1 1 2.30
	       1351.61 15655.1604     15655.   4.0 1 1 1.05
	       1362.59 15631.3086    15631.6   4.0 1 1 0.35
	       1378.04 15597.7621    15597.7   4.0 1 1 0.70
	       1404.20   15540.94    15540.4   4.0 1 1 0.55
	       1454.18 15432.3544    15432.1   4.0 1 1 1.08
	       1471.24 15395.2724    15395.3   4.0 1 1 0.40
	       1500.26 15332.1845    15332.4   4.0 1 1 1.15
	       1520.67 15287.7963    15287.8   4.0 1 1 0.58
	       1542.26 15240.8433     15241.   4.0 1 1 1.41
	       1567.03 15186.9584     15187.   4.0 1 1 0.38
	       1621.37 15068.7357    15068.9   4.0 1 1 0.66
	       1627.49 15055.4117    15055.5   4.0 1 1 1.95
	       1704.58  14887.603    14887.7   4.0 1 1 0.78
	       1729.58 14833.1701     14833.   4.0 1 1 0.62
	       1791.37 14698.5846    14698.4   4.0 1 1 0.35
	       1834.41 14604.8125    14604.8   4.0 1 1 0.35
	       1853.16 14563.9459     14564.   4.0 1 1 0.35
	       1873.74 14519.0998     14519.   4.0 1 1 0.60
	       1948.31 14356.5582    14356.7   4.0 1 1 
	       2026.50 14186.0903    14186.1   4.0 1 1 0.20
	       2037.12  14162.933    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.615469979103
		3093.92365649863
		2850.519146071361
		2604.378709055601
		2356.604031110509
		2108.424435377889

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,36]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,36]
	units	Angstroms
	features	52
	        208.42 18118.4579    18118.5   4.0 1 1 0.50
	        266.60 17994.1155     17994.   4.0 1 1 1.42
	        319.83  17880.285    17880.3   4.0 1 1 1.20
	        417.22 17671.7591    17671.8   4.0 1 1 0.70
	        425.98 17653.0057    17653.2   4.0 1 1 2.00
	        520.61 17450.0865    17449.9   4.0 1 1 0.72
	        576.04 17331.0939    17330.9   4.0 1 1 0.32
	        614.55 17248.3677    17248.6   4.0 1 1 0.70
	        632.23 17210.3477    17210.4   4.0 1 1 0.36
	        672.63 17123.4609    17123.6   4.0 1 1 1.20
	        693.59 17078.3673    17078.3   4.0 1 1 0.70
	        725.92 17008.7748    17008.8   4.0 1 1 1.80
	        750.73 16955.3246    16955.1   4.0 1 1 0.52
	        774.73 16903.6115    16903.7   4.0 1 1 1.45
	        803.97 16840.5912    16840.5   4.0 1 1 0.30
	        864.99 16708.9439    16708.8   4.0 1 1 0.83
	        872.69 16692.3291    16692.1   4.0 1 1 2.30
	        937.00 16553.4345    16553.9   4.0 1 1 0.30
	        960.62 16502.3925    16502.3   4.0 1 1 0.75
	        988.29 16442.5598    16442.1   4.0 1 1 
	       1013.34 16388.3935    16388.5   4.0 1 1 0.25
	       1030.49 16351.2835    16351.3   4.0 1 1 0.65
	       1046.37 16316.9359    16317.2   4.0 1 1 0.28
	       1084.11 16235.2394    16235.4   4.0 1 1 1.27
	       1102.86 16194.6358    16194.7   4.0 1 1 0.63
	       1133.39 16128.4986    16128.6   4.0 1 1 1.71
	       1155.96 16079.6011    16079.8   4.0 1 1 0.65
	       1178.44 16030.8777    16030.8   4.0 1 1 1.53
	       1205.28 15972.7045    15972.6   4.0 1 1 0.50
	       1262.80 15847.9501    15848.1   4.0 1 1 0.90
	       1269.63 15833.1295    15833.2   4.0 1 1 2.30
	       1351.57 15655.2654     15655.   4.0 1 1 1.05
	       1362.49 15631.5495    15631.6   4.0 1 1 0.35
	       1378.10 15597.6409    15597.7   4.0 1 1 0.70
	       1404.15 15541.0679    15540.4   4.0 1 1 0.55
	       1454.31 15432.0674    15432.1   4.0 1 1 1.08
	       1471.17 15395.4235    15395.3   4.0 1 1 0.40
	       1500.22 15332.2768    15332.4   4.0 1 1 1.15
	       1520.74 15287.6635    15287.8   4.0 1 1 0.58
	       1542.22 15240.9558     15241.   4.0 1 1 1.41
	       1567.02 15187.0071     15187.   4.0 1 1 0.38
	       1621.38 15068.7472    15068.9   4.0 1 1 0.66
	       1627.54 15055.3343    15055.5   4.0 1 1 1.95
	       1704.56 14887.6719    14887.7   4.0 1 1 0.78
	       1729.63 14833.1047     14833.   4.0 1 1 0.62
	       1791.44 14698.4807    14698.4   4.0 1 1 0.35
	       1834.43 14604.8122    14604.8   4.0 1 1 0.35
	       1853.20 14563.9147     14564.   4.0 1 1 0.35
	       1873.80   14519.03     14519.   4.0 1 1 0.60
	       1948.24 14356.7842    14356.7   4.0 1 1 
	       2026.57 14186.0119    14186.1   4.0 1 1 0.20
	       2037.15 14162.9319    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3335.463265010078
		3093.770505492877
		2850.577543543106
		2604.36048554048
		2356.635274651119
		2108.380133409171

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,35]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,35]
	units	Angstroms
	features	52
	        208.40 18118.3859    18118.5   4.0 1 1 0.50
	        266.63 17994.0655     17994.   4.0 1 1 1.42
	        319.75 17880.5298    17880.3   4.0 1 1 1.20
	        417.33 17671.6533    17671.8   4.0 1 1 0.70
	        425.97  17653.123    17653.2   4.0 1 1 2.00
	        520.64 17450.0934    17449.9   4.0 1 1 0.72
	        576.25   17330.67    17330.9   4.0 1 1 0.32
	        614.48 17248.5122    17248.6   4.0 1 1 0.70
	        632.21 17210.3773    17210.4   4.0 1 1 0.36
	        672.56 17123.5737    17123.6   4.0 1 1 1.20
	        693.56  17078.379    17078.3   4.0 1 1 0.70
	        725.87 17008.8137    17008.8   4.0 1 1 1.80
	        750.89  16954.916    16955.1   4.0 1 1 0.52
	        774.67 16903.6823    16903.7   4.0 1 1 1.45
	        803.80 16840.8658    16840.5   4.0 1 1 0.30
	        864.99 16708.8707    16708.8   4.0 1 1 0.83
	        872.70  16692.226    16692.1   4.0 1 1 2.30
	        936.79 16553.8337    16553.9   4.0 1 1 0.30
	        960.58 16502.4126    16502.3   4.0 1 1 0.75
	        988.38 16442.3323    16442.1   4.0 1 1 
	       1013.25 16388.5488    16388.5   4.0 1 1 0.25
	       1030.44 16351.3621    16351.3   4.0 1 1 0.65
	       1046.42 16316.7857    16317.2   4.0 1 1 0.28
	       1084.16 16235.1116    16235.4   4.0 1 1 1.27
	       1102.84 16194.6841    16194.7   4.0 1 1 0.63
	       1133.35 16128.5996    16128.6   4.0 1 1 1.71
	       1155.98 16079.5822    16079.8   4.0 1 1 0.65
	       1178.46 16030.8659    16030.8   4.0 1 1 1.53
	       1205.32 15972.6643    15972.6   4.0 1 1 0.50
	       1262.81 15847.9878    15848.1   4.0 1 1 0.90
	       1269.69  15833.062    15833.2   4.0 1 1 2.30
	       1351.57 15655.3562     15655.   4.0 1 1 1.05
	       1362.55 15631.5186    15631.6   4.0 1 1 0.35
	       1378.21 15597.5084    15597.7   4.0 1 1 0.70
	       1404.19 15541.0817    15540.4   4.0 1 1 0.55
	       1454.35 15432.0861    15432.1   4.0 1 1 1.08
	       1471.30 15395.2395    15395.3   4.0 1 1 0.40
	       1500.24 15332.3195    15332.4   4.0 1 1 1.15
	       1520.73 15287.7824    15287.8   4.0 1 1 0.58
	       1542.24 15240.9854     15241.   4.0 1 1 1.41
	       1567.08 15186.9692     15187.   4.0 1 1 0.38
	       1621.40 15068.7727    15068.9   4.0 1 1 0.66
	       1627.54 15055.4125    15055.5   4.0 1 1 1.95
	       1704.59 14887.6683    14887.7   4.0 1 1 0.78
	       1729.67 14833.0597     14833.   4.0 1 1 0.62
	       1791.41 14698.5785    14698.4   4.0 1 1 0.35
	       1834.43 14604.8438    14604.8   4.0 1 1 0.35
	       1853.25 14563.8401     14564.   4.0 1 1 0.35
	       1873.82 14519.0202     14519.   4.0 1 1 0.60
	       1948.31  14356.657    14356.7   4.0 1 1 
	       2026.54 14186.1216    14186.1   4.0 1 1 0.20
	       2037.18 14162.9085    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.75679172283
		3093.938556661779
		2850.512991173718
		2604.408156135129
		2356.603265606411
		2108.501937801954

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,34]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,34]
	units	Angstroms
	features	52
	        208.36 18118.4103    18118.5   4.0 1 1 0.50
	        266.64 17994.0527     17994.   4.0 1 1 1.42
	        319.81 17880.4541    17880.3   4.0 1 1 1.20
	        417.39 17671.6219    17671.8   4.0 1 1 0.70
	        425.96 17653.2573    17653.2   4.0 1 1 2.00
	        520.65 17450.1407    17449.9   4.0 1 1 0.72
	        576.25  17330.721    17330.9   4.0 1 1 0.32
	        614.54 17248.4235    17248.6   4.0 1 1 0.70
	        632.20 17210.4429    17210.4   4.0 1 1 0.36
	        672.50 17123.7232    17123.6   4.0 1 1 1.20
	        693.59 17078.3254    17078.3   4.0 1 1 0.70
	        725.97 17008.6037    17008.8   4.0 1 1 1.80
	        750.93  16954.832    16955.1   4.0 1 1 0.52
	        774.62   16903.76    16903.7   4.0 1 1 1.45
	        803.92 16840.5927    16840.5   4.0 1 1 0.30
	        865.05 16708.7256    16708.8   4.0 1 1 0.83
	        872.73 16692.1491    16692.1   4.0 1 1 2.30
	        936.75 16553.8991    16553.9   4.0 1 1 0.30
	        960.52 16502.5359    16502.3   4.0 1 1 0.75
	        988.23 16442.6553    16442.1   4.0 1 1 
	       1013.23 16388.6038    16388.5   4.0 1 1 0.25
	       1030.48 16351.2943    16351.3   4.0 1 1 0.65
	       1046.32 16317.0176    16317.2   4.0 1 1 0.28
	       1084.09 16235.2812    16235.4   4.0 1 1 1.27
	       1102.90 16194.5692    16194.7   4.0 1 1 0.63
	       1133.36  16128.606    16128.6   4.0 1 1 1.71
	       1155.96 16079.6509    16079.8   4.0 1 1 0.65
	       1178.47 16030.8949    16030.8   4.0 1 1 1.53
	       1205.43 15972.4617    15972.6   4.0 1 1 0.50
	       1262.80 15848.0579    15848.1   4.0 1 1 0.90
	       1269.79  15832.894    15833.2   4.0 1 1 2.30
	       1351.56 15655.4363     15655.   4.0 1 1 1.05
	       1362.71 15631.2313    15631.6   4.0 1 1 0.35
	       1378.18 15597.6245    15597.7   4.0 1 1 0.70
	       1404.33 15540.8298    15540.4   4.0 1 1 0.55
	       1454.37 15432.0982    15432.1   4.0 1 1 1.08
	       1471.21 15395.4879    15395.3   4.0 1 1 0.40
	       1500.24 15332.3735    15332.4   4.0 1 1 1.15
	       1520.85 15287.5523    15287.8   4.0 1 1 0.58
	       1542.28  15240.944     15241.   4.0 1 1 1.41
	       1567.03 15187.1027     15187.   4.0 1 1 0.38
	       1621.40 15068.7913    15068.9   4.0 1 1 0.66
	       1627.52  15055.479    15055.5   4.0 1 1 1.95
	       1704.60  14887.651    14887.7   4.0 1 1 0.78
	       1729.65 14833.1083     14833.   4.0 1 1 0.62
	       1791.38 14698.6331    14698.4   4.0 1 1 0.35
	       1834.46 14604.7692    14604.8   4.0 1 1 0.35
	       1853.27 14563.7711     14564.   4.0 1 1 0.35
	       1873.77 14519.1138     14519.   4.0 1 1 0.60
	       1948.34 14356.5789    14356.7   4.0 1 1 
	       2026.53 14186.1145    14186.1   4.0 1 1 0.20
	       2037.15 14162.9518    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.643914089016
		3094.043516112655
		2850.482207409092
		2604.437295174654
		2356.576750442048
		2108.562332172922

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,33]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,33]
	units	Angstroms
	features	52
	        208.38 18118.3674    18118.5   4.0 1 1 0.50
	        266.62  17994.085     17994.   4.0 1 1 1.42
	        319.80  17880.479    17880.3   4.0 1 1 1.20
	        417.25 17671.9252    17671.8   4.0 1 1 0.70
	        426.08 17653.0052    17653.2   4.0 1 1 2.00
	        520.75 17450.0065    17449.9   4.0 1 1 0.72
	        576.18 17330.9635    17330.9   4.0 1 1 0.32
	        614.65 17248.2896    17248.6   4.0 1 1 0.70
	        632.32 17210.2772    17210.4   4.0 1 1 0.36
	        672.66 17123.5058    17123.6   4.0 1 1 1.20
	        693.65 17078.3079    17078.3   4.0 1 1 0.70
	        725.90 17008.8676    17008.8   4.0 1 1 1.80
	        750.93 16954.9428    16955.1   4.0 1 1 0.52
	        774.68 16903.7501    16903.7   4.0 1 1 1.45
	        803.97 16840.5975    16840.5   4.0 1 1 0.30
	        865.02 16708.8715    16708.8   4.0 1 1 0.83
	        872.79 16692.0972    16692.1   4.0 1 1 2.30
	        936.72 16554.0267    16553.9   4.0 1 1 0.30
	        960.54 16502.5508    16502.3   4.0 1 1 0.75
	        988.30 16442.5336    16442.1   4.0 1 1 
	       1013.25 16388.5893    16388.5   4.0 1 1 0.25
	       1030.50 16351.2629    16351.3   4.0 1 1 0.65
	       1046.29 16317.1096    16317.2   4.0 1 1 0.28
	       1084.10 16235.2605    16235.4   4.0 1 1 1.27
	       1102.97 16194.4072    16194.7   4.0 1 1 0.63
	       1133.39 16128.5355    16128.6   4.0 1 1 1.71
	       1155.92  16079.709    16079.8   4.0 1 1 0.65
	       1178.49 16030.8088    16030.8   4.0 1 1 1.53
	       1205.36 15972.5685    15972.6   4.0 1 1 0.50
	       1262.98 15847.5963    15848.1   4.0 1 1 0.90
	       1269.70 15833.0241    15833.2   4.0 1 1 2.30
	       1351.53 15655.4302     15655.   4.0 1 1 1.05
	       1362.56 15631.4756    15631.6   4.0 1 1 0.35
	       1378.13 15597.6634    15597.7   4.0 1 1 0.70
	       1404.18 15541.0714    15540.4   4.0 1 1 0.55
	       1454.34 15432.0955    15432.1   4.0 1 1 1.08
	       1471.21  15395.437    15395.3   4.0 1 1 0.40
	       1500.28 15332.2255    15332.4   4.0 1 1 1.15
	       1520.74 15287.7547    15287.8   4.0 1 1 0.58
	       1542.26 15240.9449     15241.   4.0 1 1 1.41
	       1567.10 15186.9193     15187.   4.0 1 1 0.38
	       1621.34 15068.9125    15068.9   4.0 1 1 0.66
	       1627.55 15055.3999    15055.5   4.0 1 1 1.95
	       1704.68 14887.5022    14887.7   4.0 1 1 0.78
	       1729.61 14833.2284     14833.   4.0 1 1 0.62
	       1791.46 14698.5142    14698.4   4.0 1 1 0.35
	       1834.46 14604.8321    14604.8   4.0 1 1 0.35
	       1853.27 14563.8444     14564.   4.0 1 1 0.35
	       1873.82 14519.0673     14519.   4.0 1 1 0.60
	       1948.35  14356.618    14356.7   4.0 1 1 
	       2026.58 14186.0746    14186.1   4.0 1 1 0.20
	       2037.17  14162.967    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.099514162215
		3093.964924434189
		2850.542714356928
		2604.386771205992
		2356.639760394774
		2108.415569520035

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,32]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,32]
	units	Angstroms
	features	52
	        208.39 18118.5014    18118.5   4.0 1 1 0.50
	        266.74 17993.9307     17994.   4.0 1 1 1.42
	        319.86  17880.389    17880.3   4.0 1 1 1.20
	        417.26 17671.8859    17671.8   4.0 1 1 0.70
	        426.03 17653.1062    17653.2   4.0 1 1 2.00
	        520.75 17449.9489    17449.9   4.0 1 1 0.72
	        576.01  17331.275    17330.9   4.0 1 1 0.32
	        614.61 17248.3281    17248.6   4.0 1 1 0.70
	        632.33 17210.2189    17210.4   4.0 1 1 0.36
	        672.54 17123.7102    17123.6   4.0 1 1 1.20
	        693.63 17078.3186    17078.3   4.0 1 1 0.70
	        726.14  17008.317    17008.8   4.0 1 1 1.80
	        750.87 16955.0452    16955.1   4.0 1 1 0.52
	        774.77 16903.5342    16903.7   4.0 1 1 1.45
	        803.92 16840.7012    16840.5   4.0 1 1 0.30
	        865.03 16708.8704    16708.8   4.0 1 1 0.83
	        872.69 16692.3251    16692.1   4.0 1 1 2.30
	        936.75 16553.9785    16553.9   4.0 1 1 0.30
	        960.55 16502.5512    16502.3   4.0 1 1 0.75
	        988.34 16442.4903    16442.1   4.0 1 1 
	       1013.38 16388.3443    16388.5   4.0 1 1 0.25
	       1030.47 16351.3861    16351.3   4.0 1 1 0.65
	       1046.38 16316.9693    16317.2   4.0 1 1 0.28
	       1084.22  16235.075    16235.4   4.0 1 1 1.27
	       1102.97 16194.4814    16194.7   4.0 1 1 0.63
	       1133.35 16128.6834    16128.6   4.0 1 1 1.71
	       1155.81 16080.0278    16079.8   4.0 1 1 0.65
	       1178.52 16030.8188    16030.8   4.0 1 1 1.53
	       1205.43 15972.5129    15972.6   4.0 1 1 0.50
	       1262.82 15848.0501    15848.1   4.0 1 1 0.90
	       1269.69 15833.1591    15833.2   4.0 1 1 2.30
	       1351.61 15655.3712     15655.   4.0 1 1 1.05
	       1362.72 15631.2424    15631.6   4.0 1 1 0.35
	       1378.25 15597.5261    15597.7   4.0 1 1 0.70
	       1404.42 15540.6638    15540.4   4.0 1 1 0.55
	       1454.38 15432.1121    15432.1   4.0 1 1 1.08
	       1471.26 15395.4372    15395.3   4.0 1 1 0.40
	       1500.29 15332.3184    15332.4   4.0 1 1 1.15
	       1520.77 15287.7956    15287.8   4.0 1 1 0.58
	       1542.30 15240.9717     15241.   4.0 1 1 1.41
	       1567.18 15186.8555     15187.   4.0 1 1 0.38
	       1621.39  15068.892    15068.9   4.0 1 1 0.66
	       1627.59 15055.3928    15055.5   4.0 1 1 1.95
	       1704.65 14887.6458    14887.7   4.0 1 1 0.78
	       1729.65 14833.2012     14833.   4.0 1 1 0.62
	       1791.44 14698.5948    14698.4   4.0 1 1 0.35
	       1834.41 14604.9527    14604.8   4.0 1 1 0.35
	       1853.33 14563.7389     14564.   4.0 1 1 0.35
	       1873.84 14519.0303     14519.   4.0 1 1 0.60
	       1948.35 14356.5802    14356.7   4.0 1 1 
	       2026.59 14185.9585    14186.1   4.0 1 1 0.20
	       2037.08 14163.0848    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.662153197193
		3093.965026112781
		2850.525170183236
		2604.420831625804
		2356.633935012188
		2108.305723168842

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,31]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,31]
	units	Angstroms
	features	52
	        208.45 18118.3663    18118.5   4.0 1 1 0.50
	        266.65 17994.0824     17994.   4.0 1 1 1.42
	        319.82 17880.4259    17880.3   4.0 1 1 1.20
	        417.23 17671.9264    17671.8   4.0 1 1 0.70
	        425.98 17653.1806    17653.2   4.0 1 1 2.00
	        520.73 17449.9983    17449.9   4.0 1 1 0.72
	        576.21 17330.8754    17330.9   4.0 1 1 0.32
	        614.70 17248.1598    17248.6   4.0 1 1 0.70
	        632.23 17210.4689    17210.4   4.0 1 1 0.36
	        672.54 17123.7661    17123.6   4.0 1 1 1.20
	        693.69  17078.243    17078.3   4.0 1 1 0.70
	        726.04 17008.5876    17008.8   4.0 1 1 1.80
	        751.02 16954.7885    16955.1   4.0 1 1 0.52
	        774.85 16903.4191    16903.7   4.0 1 1 1.45
	        803.96 16840.6689    16840.5   4.0 1 1 0.30
	        865.02 16708.9376    16708.8   4.0 1 1 0.83
	        872.68 16692.4087    16692.1   4.0 1 1 2.30
	        936.75 16554.0214    16553.9   4.0 1 1 0.30
	        960.50 16502.6993    16502.3   4.0 1 1 0.75
	        988.40 16442.3888    16442.1   4.0 1 1 
	       1013.28 16388.5802    16388.5   4.0 1 1 0.25
	       1030.54 16351.2356    16351.3   4.0 1 1 0.65
	       1046.43 16316.8575    16317.2   4.0 1 1 0.28
	       1084.07 16235.3996    16235.4   4.0 1 1 1.27
	       1103.00 16194.4027    16194.7   4.0 1 1 0.63
	       1133.31 16128.7715    16128.6   4.0 1 1 1.71
	       1155.94 16079.7299    16079.8   4.0 1 1 0.65
	       1178.55 16030.7409    16030.8   4.0 1 1 1.53
	       1205.29 15972.7818    15972.6   4.0 1 1 0.50
	       1262.91 15847.8128    15848.1   4.0 1 1 0.90
	       1269.66 15833.1804    15833.2   4.0 1 1 2.30
	       1351.57 15655.4028     15655.   4.0 1 1 1.05
	       1362.74 15631.1528    15631.6   4.0 1 1 0.35
	       1378.21  15597.554    15597.7   4.0 1 1 0.70
	       1404.31 15540.8789    15540.4   4.0 1 1 0.55
	       1454.38 15432.0766    15432.1   4.0 1 1 1.08
	       1471.29 15395.3372    15395.3   4.0 1 1 0.40
	       1500.27 15332.3323    15332.4   4.0 1 1 1.15
	       1520.80 15287.7051    15287.8   4.0 1 1 0.58
	       1542.33 15240.8943     15241.   4.0 1 1 1.41
	       1567.09 15187.0429     15187.   4.0 1 1 0.38
	       1621.49 15068.6873    15068.9   4.0 1 1 0.66
	       1627.58 15055.4187    15055.5   4.0 1 1 1.95
	       1704.65 14887.6728    14887.7   4.0 1 1 0.78
	       1729.63 14833.2686     14833.   4.0 1 1 0.62
	       1791.46 14698.5888    14698.4   4.0 1 1 0.35
	       1834.42 14604.9875    14604.8   4.0 1 1 0.35
	       1853.36 14563.7142     14564.   4.0 1 1 0.35
	       1873.84 14519.0716     14519.   4.0 1 1 0.60
	       1948.37 14356.6026    14356.7   4.0 1 1 
	       2026.59 14185.9976    14186.1   4.0 1 1 0.20
	       2037.13 14163.0074    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.155112010965
		3093.894093501163
		2850.563408760713
		2604.390196782528
		2356.675357791833
		2108.20598406496

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,30]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,30]
	units	Angstroms
	features	52
	        208.39 18118.5039    18118.5   4.0 1 1 0.50
	        266.72 17993.9513     17994.   4.0 1 1 1.42
	        319.86 17880.3745    17880.3   4.0 1 1 1.20
	        417.29 17671.8175    17671.8   4.0 1 1 0.70
	        426.01 17653.1398    17653.2   4.0 1 1 2.00
	        520.75 17449.9413    17449.9   4.0 1 1 0.72
	        576.19 17330.8918    17330.9   4.0 1 1 0.32
	        614.42 17248.7273    17248.6   4.0 1 1 0.70
	        632.21 17210.4694    17210.4   4.0 1 1 0.36
	        672.61 17123.5697    17123.6   4.0 1 1 1.20
	        693.66 17078.2484    17078.3   4.0 1 1 0.70
	        726.01 17008.5911    17008.8   4.0 1 1 1.80
	        750.84 16955.0965    16955.1   4.0 1 1 0.52
	        774.76 16903.5492    16903.7   4.0 1 1 1.45
	        804.03 16840.4564    16840.5   4.0 1 1 0.30
	        865.05 16708.8044    16708.8   4.0 1 1 0.83
	        872.87 16691.9323    16692.1   4.0 1 1 2.30
	        936.71 16554.0589    16553.9   4.0 1 1 0.30
	        960.55 16502.5307    16502.3   4.0 1 1 0.75
	        988.33 16442.4907    16442.1   4.0 1 1 
	       1013.24 16388.6212    16388.5   4.0 1 1 0.25
	       1030.47  16351.344    16351.3   4.0 1 1 0.65
	       1046.27 16317.1752    16317.2   4.0 1 1 0.28
	       1084.14 16235.2078    16235.4   4.0 1 1 1.27
	       1102.99 16194.4061    16194.7   4.0 1 1 0.63
	       1133.31 16128.7353    16128.6   4.0 1 1 1.71
	       1155.97 16079.6411    16079.8   4.0 1 1 0.65
	       1178.49 16030.8476    16030.8   4.0 1 1 1.53
	       1205.33 15972.6664    15972.6   4.0 1 1 0.50
	       1262.96 15847.7091    15848.1   4.0 1 1 0.90
	       1269.68 15833.1309    15833.2   4.0 1 1 2.30
	       1351.58 15655.3711     15655.   4.0 1 1 1.05
	       1362.63 15631.3847    15631.6   4.0 1 1 0.35
	       1378.10 15597.7879    15597.7   4.0 1 1 0.70
	       1404.27 15540.9537    15540.4   4.0 1 1 0.55
	       1454.34 15432.1592    15432.1   4.0 1 1 1.08
	       1471.35 15395.1786    15395.3   4.0 1 1 0.40
	       1500.23 15332.3955    15332.4   4.0 1 1 1.15
	       1520.82 15287.6245    15287.8   4.0 1 1 0.58
	       1542.35 15240.8087     15241.   4.0 1 1 1.41
	       1567.07 15187.0433     15187.   4.0 1 1 0.38
	       1621.47 15068.6737    15068.9   4.0 1 1 0.66
	       1627.53 15055.5003    15055.5   4.0 1 1 1.95
	       1704.70 14887.5016    14887.7   4.0 1 1 0.78
	       1729.64 14833.1937     14833.   4.0 1 1 0.62
	       1791.48  14698.515    14698.4   4.0 1 1 0.35
	       1834.43 14604.9447    14604.8   4.0 1 1 0.35
	       1853.28 14563.8726     14564.   4.0 1 1 0.35
	       1873.83 14519.0935     14519.   4.0 1 1 0.60
	       1948.29 14356.7902    14356.7   4.0 1 1 
	       2026.64 14185.9912    14186.1   4.0 1 1 0.20
	       2037.23 14162.8865    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.740215137299
		3093.951381082673
		2850.53179408566
		2604.405514995582
		2356.634203083891
		2108.465617997438

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,29]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,29]
	units	Angstroms
	features	52
	        208.41 18118.4495    18118.5   4.0 1 1 0.50
	        266.68 17994.0672     17994.   4.0 1 1 1.42
	        319.92 17880.2966    17880.3   4.0 1 1 1.20
	        417.31 17671.8402    17671.8   4.0 1 1 0.70
	        426.01 17653.1999    17653.2   4.0 1 1 2.00
	        520.80 17449.9206    17449.9   4.0 1 1 0.72
	        576.25 17330.8402    17330.9   4.0 1 1 0.32
	        614.59 17248.4304    17248.6   4.0 1 1 0.70
	        632.27 17210.4141    17210.4   4.0 1 1 0.36
	        672.61 17123.6327    17123.6   4.0 1 1 1.20
	        693.57 17078.5264    17078.3   4.0 1 1 0.70
	        725.97 17008.7571    17008.8   4.0 1 1 1.80
	        750.94 16954.9531    16955.1   4.0 1 1 0.52
	        774.86 16903.4138    16903.7   4.0 1 1 1.45
	        804.04    16840.5    16840.5   4.0 1 1 0.30
	        864.96 16709.0768    16708.8   4.0 1 1 0.83
	        872.79  16692.167    16692.1   4.0 1 1 2.30
	        936.83 16553.8707    16553.9   4.0 1 1 0.30
	        960.47 16502.7738    16502.3   4.0 1 1 0.75
	        988.41 16442.3876    16442.1   4.0 1 1 
	       1013.30 16388.5635    16388.5   4.0 1 1 0.25
	       1030.58 16351.1933    16351.3   4.0 1 1 0.65
	       1046.40 16316.9652    16317.2   4.0 1 1 0.28
	       1084.16 16235.2354    16235.4   4.0 1 1 1.27
	       1103.09 16194.2587    16194.7   4.0 1 1 0.63
	       1133.39 16128.6334    16128.6   4.0 1 1 1.71
	       1155.98 16079.6977    16079.8   4.0 1 1 0.65
	       1178.54 16030.8016    16030.8   4.0 1 1 1.53
	       1205.29  15972.833    15972.6   4.0 1 1 0.50
	       1262.96  15847.765    15848.1   4.0 1 1 0.90
	       1269.73 15833.0921    15833.2   4.0 1 1 2.30
	       1351.61 15655.3687     15655.   4.0 1 1 1.05
	       1362.58 15631.5546    15631.6   4.0 1 1 0.35
	       1378.26 15597.5146    15597.7   4.0 1 1 0.70
	       1404.38 15540.7725    15540.4   4.0 1 1 0.55
	       1454.35 15432.1981    15432.1   4.0 1 1 1.08
	       1471.36 15395.2182    15395.3   4.0 1 1 0.40
	       1500.23 15332.4496    15332.4   4.0 1 1 1.15
	       1520.77 15287.7897    15287.8   4.0 1 1 0.58
	       1542.31 15240.9436     15241.   4.0 1 1 1.41
	       1567.04 15187.1608     15187.   4.0 1 1 0.38
	       1621.48 15068.7063    15068.9   4.0 1 1 0.66
	       1627.57 15055.4398    15055.5   4.0 1 1 1.95
	       1704.71 14887.5198    14887.7   4.0 1 1 0.78
	       1729.68 14833.1527     14833.   4.0 1 1 0.62
	       1791.44 14698.6191    14698.4   4.0 1 1 0.35
	       1834.46 14604.9012    14604.8   4.0 1 1 0.35
	       1853.34  14563.743     14564.   4.0 1 1 0.35
	       1873.86 14519.0387     14519.   4.0 1 1 0.60
	       1948.39 14356.5756    14356.7   4.0 1 1 
	       2026.63 14185.9848    14186.1   4.0 1 1 0.20
	       2037.13 14163.0922    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.405024092294
		3093.974582137154
		2850.541286464625
		2604.419699394036
		2356.633002040463
		2108.439346065121

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,28]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,28]
	units	Angstroms
	features	52
	        208.52 18118.3252    18118.5   4.0 1 1 0.50
	        266.64 17994.2092     17994.   4.0 1 1 1.42
	        319.86 17880.4372    17880.3   4.0 1 1 1.20
	        417.35  17671.778    17671.8   4.0 1 1 0.70
	        426.09 17653.0495    17653.2   4.0 1 1 2.00
	        520.81 17449.9468    17449.9   4.0 1 1 0.72
	        576.30 17330.7942    17330.9   4.0 1 1 0.32
	        614.73  17248.218    17248.6   4.0 1 1 0.70
	        632.27 17210.5043    17210.4   4.0 1 1 0.36
	        672.63 17123.6938    17123.6   4.0 1 1 1.20
	        693.65 17078.4548    17078.3   4.0 1 1 0.70
	        725.95 17008.9246    17008.8   4.0 1 1 1.80
	        750.92  16955.131    16955.1   4.0 1 1 0.52
	        774.87 16903.5306    16903.7   4.0 1 1 1.45
	        804.08 16840.5455    16840.5   4.0 1 1 0.30
	        865.06  16708.993    16708.8   4.0 1 1 0.83
	        872.87 16692.1327    16692.1   4.0 1 1 2.30
	        936.87 16553.9036    16553.9   4.0 1 1 0.30
	        960.65 16502.5226    16502.3   4.0 1 1 0.75
	        988.45 16442.4254    16442.1   4.0 1 1 
	       1013.38 16388.5133    16388.5   4.0 1 1 0.25
	       1030.77 16350.8942    16351.3   4.0 1 1 0.65
	       1046.37 16317.1413    16317.2   4.0 1 1 0.28
	       1084.25 16235.1446    16235.4   4.0 1 1 1.27
	       1103.01 16194.5415    16194.7   4.0 1 1 0.63
	       1133.46 16128.5755    16128.6   4.0 1 1 1.71
	       1156.10 16079.5213    16079.8   4.0 1 1 0.65
	       1178.62 16030.7185    16030.8   4.0 1 1 1.53
	       1205.34 15972.8054    15972.6   4.0 1 1 0.50
	       1262.80 15848.1707    15848.1   4.0 1 1 0.90
	       1269.73 15833.1456    15833.2   4.0 1 1 2.30
	       1351.64 15655.3525     15655.   4.0 1 1 1.05
	       1362.65 15631.4377    15631.6   4.0 1 1 0.35
	       1378.20 15597.6728    15597.7   4.0 1 1 0.70
	       1404.37 15540.8179    15540.4   4.0 1 1 0.55
	       1454.40 15432.1096    15432.1   4.0 1 1 1.08
	       1471.36 15395.2456    15395.3   4.0 1 1 0.40
	       1500.27 15332.4015    15332.4   4.0 1 1 1.15
	       1520.81 15287.7294    15287.8   4.0 1 1 0.58
	       1542.28 15241.0419     15241.   4.0 1 1 1.41
	       1567.15 15186.9386     15187.   4.0 1 1 0.38
	       1621.44 15068.8152    15068.9   4.0 1 1 0.66
	       1627.64 15055.3246    15055.5   4.0 1 1 1.95
	       1704.70 14887.5462    14887.7   4.0 1 1 0.78
	       1729.68 14833.1631     14833.   4.0 1 1 0.62
	       1791.43  14698.645    14698.4   4.0 1 1 0.35
	       1834.43 14604.9412    14604.8   4.0 1 1 0.35
	       1853.34 14563.7388     14564.   4.0 1 1 0.35
	       1873.85   14519.03     14519.   4.0 1 1 0.60
	       1948.35 14356.6203    14356.7   4.0 1 1 
	       2026.58 14186.0262    14186.1   4.0 1 1 0.20
	       2037.14 14163.0098    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.342476557503
		3093.889735859749
		2850.589914730012
		2604.415841503737
		2356.642689443541
		2108.326323598275

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,27]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,27]
	units	Angstroms
	features	52
	        208.52 18118.3082    18118.5   4.0 1 1 0.50
	        266.64 17994.2649     17994.   4.0 1 1 1.42
	        319.94 17880.3645    17880.3   4.0 1 1 1.20
	        417.41 17671.7488    17671.8   4.0 1 1 0.70
	        426.10 17653.1424    17653.2   4.0 1 1 2.00
	        520.83 17449.9908    17449.9   4.0 1 1 0.72
	        576.35 17330.7719    17330.9   4.0 1 1 0.32
	        614.58 17248.6092    17248.6   4.0 1 1 0.70
	        632.42 17210.2468    17210.4   4.0 1 1 0.36
	        672.68 17123.6305    17123.6   4.0 1 1 1.20
	        693.81 17078.1551    17078.3   4.0 1 1 0.70
	        726.09 17008.6488    17008.8   4.0 1 1 1.80
	        750.91 16955.1708    16955.1   4.0 1 1 0.52
	        774.78 16903.7234    16903.7   4.0 1 1 1.45
	        804.02 16840.6738    16840.5   4.0 1 1 0.30
	        865.10 16708.9036    16708.8   4.0 1 1 0.83
	        872.81 16692.2568    16692.1   4.0 1 1 2.30
	        936.77 16554.1121    16553.9   4.0 1 1 0.30
	        960.79  16502.197    16502.3   4.0 1 1 0.75
	        988.42 16442.4654    16442.1   4.0 1 1 
	       1013.32 16388.6091    16388.5   4.0 1 1 0.25
	       1030.59 16351.2479    16351.3   4.0 1 1 0.65
	       1046.32  16317.213    16317.2   4.0 1 1 0.28
	       1084.21 16235.2104    16235.4   4.0 1 1 1.27
	       1103.07 16194.3636    16194.7   4.0 1 1 0.63
	       1133.52 16128.4219    16128.6   4.0 1 1 1.71
	       1156.05 16079.5999    16079.8   4.0 1 1 0.65
	       1178.65  16030.632    16030.8   4.0 1 1 1.53
	       1205.37 15972.6989    15972.6   4.0 1 1 0.50
	       1262.89 15847.9598    15848.1   4.0 1 1 0.90
	       1269.71 15833.1601    15833.2   4.0 1 1 2.30
	       1351.63 15655.3423     15655.   4.0 1 1 1.05
	       1362.65 15631.4182    15631.6   4.0 1 1 0.35
	       1378.19 15597.6729    15597.7   4.0 1 1 0.70
	       1404.30 15540.9649    15540.4   4.0 1 1 0.55
	       1454.38  15432.127    15432.1   4.0 1 1 1.08
	       1471.22 15395.5373    15395.3   4.0 1 1 0.40
	       1500.29 15332.3328    15332.4   4.0 1 1 1.15
	       1520.87 15287.5907    15287.8   4.0 1 1 0.58
	       1542.33 15240.9199     15241.   4.0 1 1 1.41
	       1567.12 15186.9884     15187.   4.0 1 1 0.38
	       1621.42 15068.8536    15068.9   4.0 1 1 0.66
	       1627.60    15055.4    15055.5   4.0 1 1 1.95
	       1704.71 14887.5526    14887.7   4.0 1 1 0.78
	       1729.67 14833.1901     14833.   4.0 1 1 0.62
	       1791.52 14698.4744    14698.4   4.0 1 1 0.35
	       1834.49  14604.865    14604.8   4.0 1 1 0.35
	       1853.32 14563.8243     14564.   4.0 1 1 0.35
	       1873.87 14519.0454     14519.   4.0 1 1 0.60
	       1948.36 14356.6754    14356.7   4.0 1 1 
	       2026.59 14186.0953    14186.1   4.0 1 1 0.20
	       2037.21 14162.9281    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.514926915954
		3093.967747296564
		2850.583470507883
		2604.407519134481
		2356.653904497407
		2108.377762145504

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,26]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,26]
	units	Angstroms
	features	52
	        208.48 18118.3805    18118.5   4.0 1 1 0.50
	        266.73 17994.0703     17994.   4.0 1 1 1.42
	        319.91 17880.4311    17880.3   4.0 1 1 1.20
	        417.31 17671.9859    17671.8   4.0 1 1 0.70
	        426.12 17653.1063    17653.2   4.0 1 1 2.00
	        520.91 17449.8445    17449.9   4.0 1 1 0.72
	        576.37 17330.7442    17330.9   4.0 1 1 0.32
	        614.71 17248.3383    17248.6   4.0 1 1 0.70
	        632.25 17210.6189    17210.4   4.0 1 1 0.36
	        672.63 17123.7529    17123.6   4.0 1 1 1.20
	        693.73 17078.3312    17078.3   4.0 1 1 0.70
	        726.11 17008.5979    17008.8   4.0 1 1 1.80
	        751.08 16954.8049    16955.1   4.0 1 1 0.52
	        774.93 16903.4211    16903.7   4.0 1 1 1.45
	        803.92 16840.9156    16840.5   4.0 1 1 0.30
	        865.14 16708.8247    16708.8   4.0 1 1 0.83
	        872.87  16692.133    16692.1   4.0 1 1 2.30
	        936.91 16553.8266    16553.9   4.0 1 1 0.30
	        960.59 16502.6555    16502.3   4.0 1 1 0.75
	        988.37 16442.5975    16442.1   4.0 1 1 
	       1013.29 16388.7065    16388.5   4.0 1 1 0.25
	       1030.64 16351.1698    16351.3   4.0 1 1 0.65
	       1046.50 16316.8617    16317.2   4.0 1 1 0.28
	       1084.21 16235.2373    16235.4   4.0 1 1 1.27
	       1102.91 16194.7471    16194.7   4.0 1 1 0.63
	       1133.47 16128.5606    16128.6   4.0 1 1 1.71
	       1155.91 16079.9579    16079.8   4.0 1 1 0.65
	       1178.70   16030.57    16030.8   4.0 1 1 1.53
	       1205.52 15972.4224    15972.6   4.0 1 1 0.50
	       1262.90 15847.9871    15848.1   4.0 1 1 0.90
	       1269.77 15833.0703    15833.2   4.0 1 1 2.30
	       1351.70 15655.2572     15655.   4.0 1 1 1.05
	       1362.62 15631.5428    15631.6   4.0 1 1 0.35
	       1378.30 15597.4895    15597.7   4.0 1 1 0.70
	       1404.30 15541.0043    15540.4   4.0 1 1 0.55
	       1454.44 15432.0557    15432.1   4.0 1 1 1.08
	       1471.36 15395.2746    15395.3   4.0 1 1 0.40
	       1500.31 15332.3262    15332.4   4.0 1 1 1.15
	       1520.81 15287.7611    15287.8   4.0 1 1 0.58
	       1542.28 15241.0629     15241.   4.0 1 1 1.41
	       1567.18  15186.896     15187.   4.0 1 1 0.38
	       1621.43 15068.8511    15068.9   4.0 1 1 0.66
	       1627.64 15055.3471    15055.5   4.0 1 1 1.95
	       1704.71 14887.5639    14887.7   4.0 1 1 0.78
	       1729.68 14833.1891     14833.   4.0 1 1 0.62
	       1791.45  14698.642    14698.4   4.0 1 1 0.35
	       1834.49 14604.8707    14604.8   4.0 1 1 0.35
	       1853.34 14563.7857     14564.   4.0 1 1 0.35
	       1873.87 14519.0476     14519.   4.0 1 1 0.60
	       1948.38  14356.662    14356.7   4.0 1 1 
	       2026.65 14186.0186    14186.1   4.0 1 1 0.20
	       2037.21 14162.9801    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.34652995555
		3093.986926714174
		2850.574343083675
		2604.428092535621
		2356.63446624351
		2108.494007111306

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,25]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,25]
	units	Angstroms
	features	52
	        208.48 18118.4496    18118.5   4.0 1 1 0.50
	        266.74 17994.1096     17994.   4.0 1 1 1.42
	        320.05 17880.1996    17880.3   4.0 1 1 1.20
	        417.36 17671.9632    17671.8   4.0 1 1 0.70
	        426.16 17653.1307    17653.2   4.0 1 1 2.00
	        520.89 17449.9991    17449.9   4.0 1 1 0.72
	        576.36 17330.8947    17330.9   4.0 1 1 0.32
	        614.71  17248.494    17248.6   4.0 1 1 0.70
	        632.38 17210.4991    17210.4   4.0 1 1 0.36
	        672.81 17123.5296    17123.6   4.0 1 1 1.20
	        693.86 17078.2232    17078.3   4.0 1 1 0.70
	        726.14 17008.6981    17008.8   4.0 1 1 1.80
	        751.13 16954.8604    16955.1   4.0 1 1 0.52
	        774.88 16903.6869    16903.7   4.0 1 1 1.45
	        804.08 16840.7241    16840.5   4.0 1 1 0.30
	        865.29 16708.6464    16708.8   4.0 1 1 0.83
	        873.02  16691.969    16692.1   4.0 1 1 2.30
	        936.98 16553.8002    16553.9   4.0 1 1 0.30
	        960.70 16502.5355    16502.3   4.0 1 1 0.75
	        988.37 16442.7119    16442.1   4.0 1 1 
	       1013.33  16388.734    16388.5   4.0 1 1 0.25
	       1030.63 16351.3019    16351.3   4.0 1 1 0.65
	       1046.50 16316.9656    16317.2   4.0 1 1 0.28
	       1084.17 16235.4078    16235.4   4.0 1 1 1.27
	       1102.94 16194.7661    16194.7   4.0 1 1 0.63
	       1133.58  16128.403    16128.6   4.0 1 1 1.71
	       1155.97 16079.8686    16079.8   4.0 1 1 0.65
	       1178.68 16030.6589    16030.8   4.0 1 1 1.53
	       1205.52 15972.4643    15972.6   4.0 1 1 0.50
	       1262.85 15848.1187    15848.1   4.0 1 1 0.90
	       1269.80 15833.0363    15833.2   4.0 1 1 2.30
	       1351.71 15655.2381     15655.   4.0 1 1 1.05
	       1362.68 15631.4276    15631.6   4.0 1 1 0.35
	       1378.31 15597.4791    15597.7   4.0 1 1 0.70
	       1404.44 15540.7182    15540.4   4.0 1 1 0.55
	       1454.40 15432.1636    15432.1   4.0 1 1 1.08
	       1471.28 15395.4636    15395.3   4.0 1 1 0.40
	       1500.32  15332.333    15332.4   4.0 1 1 1.15
	       1520.79 15287.8355    15287.8   4.0 1 1 0.58
	       1542.37 15240.9036     15241.   4.0 1 1 1.41
	       1567.14 15187.0151     15187.   4.0 1 1 0.38
	       1621.49 15068.7737    15068.9   4.0 1 1 0.66
	       1627.69 15055.2745    15055.5   4.0 1 1 1.95
	       1704.70  14887.632    14887.7   4.0 1 1 0.78
	       1729.72 14833.1501     14833.   4.0 1 1 0.62
	       1791.48 14698.6315    14698.4   4.0 1 1 0.35
	       1834.49 14604.9054    14604.8   4.0 1 1 0.35
	       1853.35 14563.8157     14564.   4.0 1 1 0.35
	       1873.92 14518.9769     14519.   4.0 1 1 0.60
	       1948.33 14356.7854    14356.7   4.0 1 1 
	       2026.68 14185.9129    14186.1   4.0 1 1 0.20
	       2037.18 14163.0142    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.651873821967
		3093.944788985516
		2850.630635843265
		2604.406965173176
		2356.678785940027
		2108.293119310299

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,24]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,24]
	units	Angstroms
	features	52
	        208.60 18118.4016    18118.5   4.0 1 1 0.50
	        266.82 17994.1057     17994.   4.0 1 1 1.42
	        320.03 17880.3831    17880.3   4.0 1 1 1.20
	        417.48 17671.8445    17671.8   4.0 1 1 0.70
	        426.26 17653.0321    17653.2   4.0 1 1 2.00
	        520.90 17450.1024    17449.9   4.0 1 1 0.72
	        576.39 17330.9593    17330.9   4.0 1 1 0.32
	        614.78  17248.481    17248.6   4.0 1 1 0.70
	        632.38 17210.6206    17210.4   4.0 1 1 0.36
	        672.89   17123.48    17123.6   4.0 1 1 1.20
	        693.99 17078.0645    17078.3   4.0 1 1 0.70
	        726.18 17008.7521    17008.8   4.0 1 1 1.80
	        751.14 16954.9763    16955.1   4.0 1 1 0.52
	        775.03  16903.496    16903.7   4.0 1 1 1.45
	        804.24 16840.4945    16840.5   4.0 1 1 0.30
	        865.21 16708.9417    16708.8   4.0 1 1 0.83
	        873.12 16691.8472    16692.1   4.0 1 1 2.30
	        937.00  16553.869    16553.9   4.0 1 1 0.30
	        960.76 16502.5078    16502.3   4.0 1 1 0.75
	        988.64 16442.2143    16442.1   4.0 1 1 
	       1013.31  16388.845    16388.5   4.0 1 1 0.25
	       1030.71 16351.1865    16351.3   4.0 1 1 0.65
	       1046.25 16317.5638    16317.2   4.0 1 1 0.28
	       1084.17 16235.4649    16235.4   4.0 1 1 1.27
	       1102.96 16194.7631    16194.7   4.0 1 1 0.63
	       1133.59 16128.4089    16128.6   4.0 1 1 1.71
	       1156.11 16079.6194    16079.8   4.0 1 1 0.65
	       1178.66 16030.7419    16030.8   4.0 1 1 1.53
	       1205.42 15972.7097    15972.6   4.0 1 1 0.50
	       1262.87 15848.0937    15848.1   4.0 1 1 0.90
	       1269.73  15833.197    15833.2   4.0 1 1 2.30
	       1351.70 15655.2505     15655.   4.0 1 1 1.05
	       1362.68 15631.4137    15631.6   4.0 1 1 0.35
	       1378.29 15597.5144    15597.7   4.0 1 1 0.70
	       1404.46 15540.6681    15540.4   4.0 1 1 0.55
	       1454.44  15432.043    15432.1   4.0 1 1 1.08
	       1471.43 15395.1322    15395.3   4.0 1 1 0.40
	       1500.28 15332.4112    15332.4   4.0 1 1 1.15
	       1520.83 15287.7097    15287.8   4.0 1 1 0.58
	       1542.35  15240.912     15241.   4.0 1 1 1.41
	       1567.14 15186.9876     15187.   4.0 1 1 0.38
	       1621.47 15068.7984    15068.9   4.0 1 1 0.66
	       1627.65 15055.3418    15055.5   4.0 1 1 1.95
	       1704.70 14887.6314    14887.7   4.0 1 1 0.78
	       1729.72  14833.153     14833.   4.0 1 1 0.62
	       1791.47 14698.6518    14698.4   4.0 1 1 0.35
	       1834.45 14605.0338    14604.8   4.0 1 1 0.35
	       1853.38 14563.7813     14564.   4.0 1 1 0.35
	       1873.91 14519.0464     14519.   4.0 1 1 0.60
	       1948.34 14356.8022    14356.7   4.0 1 1 
	       2026.70 14185.9612    14186.1   4.0 1 1 0.20
	       2037.28 14162.8887    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.083850222379
		3093.935894630701
		2850.670388036476
		2604.392985283606
		2356.685604544756
		2108.377597407342

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,23]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,23]
	units	Angstroms
	features	52
	        208.73 18118.3593    18118.5   4.0 1 1 0.50
	        267.00  17994.073     17994.   4.0 1 1 1.42
	        320.21 17880.4323    17880.3   4.0 1 1 1.20
	        417.60 17672.0619    17671.8   4.0 1 1 0.70
	        426.41 17653.1802    17653.2   4.0 1 1 2.00
	        521.32 17449.6489    17449.9   4.0 1 1 0.72
	        576.64 17330.8364    17330.9   4.0 1 1 0.32
	        614.92 17248.5535    17248.6   4.0 1 1 0.70
	        632.59 17210.5527    17210.4   4.0 1 1 0.36
	        673.16 17123.2442    17123.6   4.0 1 1 1.20
	        694.02 17078.3325    17078.3   4.0 1 1 0.70
	        726.35 17008.6977    17008.8   4.0 1 1 1.80
	        751.31 16954.9014    16955.1   4.0 1 1 0.52
	        775.02 16903.7872    16903.7   4.0 1 1 1.45
	        804.34 16840.5554    16840.5   4.0 1 1 0.30
	        865.36 16708.8421    16708.8   4.0 1 1 0.83
	        873.07 16692.1914    16692.1   4.0 1 1 2.30
	        937.13 16553.7967    16553.9   4.0 1 1 0.30
	        960.84 16502.5269    16502.3   4.0 1 1 0.75
	        988.46   16442.79    16442.1   4.0 1 1 
	       1013.40 16388.8375    16388.5   4.0 1 1 0.25
	       1030.74 16351.3138    16351.3   4.0 1 1 0.65
	       1046.54 16317.1144    16317.2   4.0 1 1 0.28
	       1084.37 16235.2128    16235.4   4.0 1 1 1.27
	       1103.16  16194.507    16194.7   4.0 1 1 0.63
	       1133.67 16128.4096    16128.6   4.0 1 1 1.71
	       1156.28 16079.4042    16079.8   4.0 1 1 0.65
	       1178.70  16030.798    16030.8   4.0 1 1 1.53
	       1205.61 15972.4273    15972.6   4.0 1 1 0.50
	       1262.86 15848.2251    15848.1   4.0 1 1 0.90
	       1269.81 15833.1567    15833.2   4.0 1 1 2.30
	       1351.83 15655.0809     15655.   4.0 1 1 1.05
	       1362.73 15631.3942    15631.6   4.0 1 1 0.35
	       1378.23 15597.7251    15597.7   4.0 1 1 0.70
	       1404.30  15541.079    15540.4   4.0 1 1 0.55
	       1454.44 15432.1104    15432.1   4.0 1 1 1.08
	       1471.40 15395.2449    15395.3   4.0 1 1 0.40
	       1500.31 15332.3706    15332.4   4.0 1 1 1.15
	       1520.87 15287.6487    15287.8   4.0 1 1 0.58
	       1542.40 15240.8285     15241.   4.0 1 1 1.41
	       1567.15 15186.9831     15187.   4.0 1 1 0.38
	       1621.46 15068.8041    15068.9   4.0 1 1 0.66
	       1627.59 15055.4621    15055.5   4.0 1 1 1.95
	       1704.66 14887.6828    14887.7   4.0 1 1 0.78
	       1729.71 14833.1266     14833.   4.0 1 1 0.62
	       1791.48  14698.586    14698.4   4.0 1 1 0.35
	       1834.45 14604.9694    14604.8   4.0 1 1 0.35
	       1853.34 14563.8146     14564.   4.0 1 1 0.35
	       1873.94 14518.9283     14519.   4.0 1 1 0.60
	       1948.38 14356.7108    14356.7   4.0 1 1 
	       2026.71 14185.9747    14186.1   4.0 1 1 0.20
	       2037.24 14163.0048    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.649420498969
		3094.124506714531
		2850.698252645327
		2604.423081092319
		2356.630551509557
		2108.61028520409

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,22]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,22]
	units	Angstroms
	features	51
	        208.82 18118.8683    18118.5   4.0 1 1 0.50
	        267.22 17994.0575     17994.   4.0 1 1 1.42
	        320.68 17879.7038    17880.3   4.0 1 1 1.20
	        418.23 17670.7851    17671.8   4.0 1 1 0.70
	        426.41 17653.2644    17653.2   4.0 1 1 2.00
	        521.01 17450.3411    17449.9   4.0 1 1 0.72
	        576.35 17331.4976    17330.9   4.0 1 1 0.32
	        614.71 17249.0352    17248.6   4.0 1 1 0.70
	        673.41 17122.7657    17123.6   4.0 1 1 0.36
	        692.90 17080.8098    17078.3   4.0 1 1 1.20
	        726.65 17008.1211    17008.8   4.0 1 1 0.70
	        751.40 16954.8047    16955.1   4.0 1 1 1.80
	        775.30 16903.2886    16903.7   4.0 1 1 0.52
	        804.34 16840.6477    16840.5   4.0 1 1 1.45
	        865.69 16708.2733    16708.8   4.0 1 1 0.30
	        873.11 16692.2379    16692.1   4.0 1 1 0.83
	        937.26 16553.6643    16553.9   4.0 1 1 2.30
	        960.97  16502.411    16502.3   4.0 1 1 0.30
	        988.97  16441.856    16442.1   4.0 1 1 0.75
	       1013.56 16388.6665    16388.5   4.0 1 1 
	       1030.77 16351.4104    16351.3   4.0 1 1 0.25
	       1046.65  16317.049    16317.2   4.0 1 1 0.65
	       1084.47 16235.1489    16235.4   4.0 1 1 0.28
	       1103.29 16194.3888    16194.7   4.0 1 1 1.27
	       1133.80 16128.2881    16128.6   4.0 1 1 0.63
	       1156.19 16079.7543    16079.8   4.0 1 1 1.71
	       1178.85 16030.6484    16030.8   4.0 1 1 0.65
	       1205.62  15972.596    15972.6   4.0 1 1 1.53
	       1263.05 15847.9956    15848.1   4.0 1 1 0.50
	       1269.88 15833.1782    15833.2   4.0 1 1 0.90
	       1351.74  15655.418     15655.   4.0 1 1 2.30
	       1362.74 15631.5389    15631.6   4.0 1 1 1.05
	       1378.28 15597.7724    15597.7   4.0 1 1 0.35
	       1404.25 15541.3244    15540.4   4.0 1 1 0.70
	       1454.46 15432.1965    15432.1   4.0 1 1 0.55
	       1471.32 15395.5266    15395.3   4.0 1 1 1.08
	       1500.38  15332.321    15332.4   4.0 1 1 0.40
	       1520.89 15287.7235    15287.8   4.0 1 1 1.15
	       1542.40 15240.9293     15241.   4.0 1 1 0.58
	       1567.19 15186.9738     15187.   4.0 1 1 1.41
	       1621.50 15068.7793    15068.9   4.0 1 1 0.38
	       1627.60 15055.4887    15055.5   4.0 1 1 0.66
	       1704.72  14887.561    14887.7   4.0 1 1 1.95
	       1729.74 14833.0569     14833.   4.0 1 1 0.78
	       1791.49 14698.5412    14698.4   4.0 1 1 0.62
	       1834.47  14604.885    14604.8   4.0 1 1 0.35
	       1853.42   14563.58     14564.   4.0 1 1 0.35
	       1873.93 14518.8823     14519.   4.0 1 1 0.35
	       1948.36  14356.649    14356.7   4.0 1 1 0.60
	       2026.63 14186.0112    14186.1   4.0 1 1 
	       2037.10 14163.1837    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3335.213714994438
		3094.063275831807
		2850.719818780048
		2604.463190001713
		2356.597618066586
		2108.566147372775

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,21]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,21]
	units	Angstroms
	features	47
	        266.58 17993.3323     17994.   4.0 1 1 0.50
	        424.99 17656.1084    17653.2   4.0 1 1 1.42
	        521.24 17450.2103    17449.9   4.0 1 1 1.20
	        578.63 17327.1257    17330.9   4.0 1 1 0.70
	        613.43 17252.3956    17248.6   4.0 1 1 2.00
	        633.37 17209.5443    17210.4   4.0 1 1 0.72
	        673.50 17123.2452    17123.6   4.0 1 1 0.32
	        697.83 17070.8846    17078.3   4.0 1 1 0.70
	        751.85 16954.5249    16955.1   4.0 1 1 0.36
	        773.56 16907.7126    16903.7   4.0 1 1 1.20
	        805.08 16839.7181    16840.5   4.0 1 1 0.70
	        863.75 16713.0508    16708.8   4.0 1 1 1.80
	        873.24 16692.5612    16692.1   4.0 1 1 0.52
	        961.09  16502.616    16502.3   4.0 1 1 1.45
	        988.79 16442.6815    16442.1   4.0 1 1 0.30
	       1013.91 16388.2827    16388.5   4.0 1 1 0.83
	       1031.18 16350.8887    16351.3   4.0 1 1 2.30
	       1046.69 16317.2922    16317.2   4.0 1 1 0.30
	       1084.59 16235.1645    16235.4   4.0 1 1 0.75
	       1103.46  16194.257    16194.7   4.0 1 1 
	       1133.81 16128.4469    16128.6   4.0 1 1 0.25
	       1156.41 16079.4327    16079.8   4.0 1 1 0.65
	       1178.83 16030.7849    16030.8   4.0 1 1 0.28
	       1205.69 15972.5006    15972.6   4.0 1 1 1.27
	       1263.17 15847.7352    15848.1   4.0 1 1 0.63
	       1269.92 15833.0711    15833.2   4.0 1 1 1.71
	       1351.82 15655.1804     15655.   4.0 1 1 0.65
	       1362.91 15631.0786    15631.6   4.0 1 1 1.53
	       1378.29 15597.6582    15597.7   4.0 1 1 0.50
	       1404.35 15541.0188    15540.4   4.0 1 1 0.90
	       1454.48 15432.0717    15432.1   4.0 1 1 2.30
	       1471.36 15395.3564    15395.3   4.0 1 1 1.05
	       1500.38 15332.2773    15332.4   4.0 1 1 0.35
	       1520.93 15287.5767    15287.8   4.0 1 1 0.70
	       1542.41 15240.8632     15241.   4.0 1 1 0.55
	       1567.15 15187.0551     15187.   4.0 1 1 1.08
	       1621.47 15068.8634    15068.9   4.0 1 1 0.40
	       1627.65 15055.4288    15055.5   4.0 1 1 1.15
	       1704.70 14887.7028    14887.7   4.0 1 1 0.58
	       1729.72 14833.2188     14833.   4.0 1 1 1.41
	       1791.51 14698.6548    14698.4   4.0 1 1 0.38
	       1834.51 14604.9596    14604.8   4.0 1 1 0.66
	       1853.38 14563.8316     14564.   4.0 1 1 1.95
	       1873.97 14518.9597     14519.   4.0 1 1 0.78
	       1948.33 14356.8198    14356.7   4.0 1 1 0.62
	       2026.63 14186.0153    14186.1   4.0 1 1 0.35
	       2037.25 14162.8408    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3326.807306493377
		3093.816098174218
		2850.984670664439
		2604.330268879206
		2356.782607601148
		2107.914584775967

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,20]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,20]
	units	Angstroms
	features	44
	        209.09 18120.5167    18118.5   4.0 1 1 0.50
	        269.35 17992.0076     17994.   4.0 1 1 1.42
	        322.43 17878.5545    17880.3   4.0 1 1 1.20
	        418.78 17672.0506    17671.8   4.0 1 1 0.70
	        428.00 17652.2664    17653.2   4.0 1 1 2.00
	        519.84 17454.8331    17449.9   4.0 1 1 0.72
	        578.26 17329.0349    17330.9   4.0 1 1 0.32
	        634.01 17208.8696    17210.4   4.0 1 1 0.70
	        692.51 17082.6774    17078.3   4.0 1 1 0.36
	        727.28 17007.6374    17008.8   4.0 1 1 1.20
	        751.74 16954.8501    16955.1   4.0 1 1 0.70
	        776.56 16901.2477    16903.7   4.0 1 1 1.80
	        803.37 16843.3448    16840.5   4.0 1 1 0.52
	        874.56 16689.5111    16692.1   4.0 1 1 1.45
	        962.87 16498.5417    16502.3   4.0 1 1 0.30
	       1044.90 16320.9977    16317.2   4.0 1 1 0.83
	       1083.87 16236.5979    16235.4   4.0 1 1 2.30
	       1133.84 16128.3141    16128.6   4.0 1 1 0.30
	       1156.43 16079.3452    16079.8   4.0 1 1 0.75
	       1178.94  16030.542    16030.8   4.0 1 1 
	       1205.68 15972.5701    15972.6   4.0 1 1 0.25
	       1263.28  15847.605    15848.1   4.0 1 1 0.65
	       1270.09 15832.8106    15833.2   4.0 1 1 0.28
	       1351.97 15655.0279     15655.   4.0 1 1 1.27
	       1362.78 15631.5454    15631.6   4.0 1 1 0.63
	       1378.20 15598.0349    15597.7   4.0 1 1 1.71
	       1404.47 15540.9575    15540.4   4.0 1 1 0.65
	       1454.49 15432.2117    15432.1   4.0 1 1 1.53
	       1471.40  15395.441    15395.3   4.0 1 1 0.50
	       1500.36  15332.449    15332.4   4.0 1 1 0.90
	       1521.01 15287.5315    15287.8   4.0 1 1 2.30
	       1542.35 15241.1021     15241.   4.0 1 1 1.05
	       1567.10 15187.2408     15187.   4.0 1 1 0.35
	       1621.53 15068.7497    15068.9   4.0 1 1 0.70
	       1627.70 15055.3078    15055.5   4.0 1 1 0.55
	       1704.73 14887.5736    14887.7   4.0 1 1 1.08
	       1729.75 14833.0704     14833.   4.0 1 1 0.40
	       1791.48 14698.5989    14698.4   4.0 1 1 1.15
	       1834.49 14604.8862    14604.8   4.0 1 1 0.58
	       1853.37 14563.7412     14564.   4.0 1 1 1.41
	       1873.98 14518.8355     14519.   4.0 1 1 0.38
	       1948.44 14356.5817    14356.7   4.0 1 1 0.66
	       2026.67 14186.1173    14186.1   4.0 1 1 1.95
	       2037.24 14163.0697    14162.9   4.0 1 1 0.78
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3329.735927676744
		3095.237929249182
		2850.68341055305
		2604.511759615557
		2356.543913012263
		2108.944776522517

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,19]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,19]
	units	Angstroms
	features	49
	        209.68 18118.1483    18118.5   4.0 1 1 0.50
	        266.68 17995.6873     17994.   4.0 1 1 1.42
	        321.17 17878.8402    17880.3   4.0 1 1 1.20
	        418.67 17670.1109    17671.8   4.0 1 1 0.70
	        520.32 17452.6874    17449.9   4.0 1 1 2.00
	        575.41 17334.8129    17330.9   4.0 1 1 0.72
	        616.25 17247.3368    17248.6   4.0 1 1 0.32
	        636.32  17204.332    17210.4   4.0 1 1 0.70
	        671.99 17127.8326    17123.6   4.0 1 1 0.36
	        696.62 17074.9653    17078.3   4.0 1 1 1.20
	        727.55 17008.4938    17008.8   4.0 1 1 0.70
	        753.08 16953.5882    16955.1   4.0 1 1 1.80
	        803.72 16844.5405    16840.5   4.0 1 1 0.52
	        869.07  16703.574    16708.8   4.0 1 1 1.45
	        872.58 16695.9878    16692.1   4.0 1 1 0.30
	        939.12 16552.1928    16553.9   4.0 1 1 0.83
	        961.33 16504.1345    16502.3   4.0 1 1 2.30
	       1014.18 16389.6838    16388.5   4.0 1 1 0.30
	       1031.02 16353.2084    16351.3   4.0 1 1 0.75
	       1046.01  16320.714    16317.2   4.0 1 1 
	       1085.82 16234.3722    16235.4   4.0 1 1 0.25
	       1103.08 16196.9087    16194.7   4.0 1 1 0.65
	       1136.71 16123.9106    16128.6   4.0 1 1 0.28
	       1159.08 16075.3326    16079.8   4.0 1 1 1.27
	       1179.90 16030.1042    16030.8   4.0 1 1 0.63
	       1206.56 15972.1619    15972.6   4.0 1 1 1.71
	       1263.56 15848.2346    15848.1   4.0 1 1 0.65
	       1270.34 15833.4883    15833.2   4.0 1 1 1.53
	       1352.19 15655.3771     15655.   4.0 1 1 0.50
	       1363.05  15631.746    15631.6   4.0 1 1 0.90
	       1378.47 15598.1798    15597.7   4.0 1 1 2.30
	       1404.40 15541.7252    15540.4   4.0 1 1 1.05
	       1454.57 15432.4733    15432.1   4.0 1 1 0.35
	       1471.51 15395.6003    15395.3   4.0 1 1 0.70
	       1500.43 15332.6079    15332.4   4.0 1 1 0.55
	       1520.97 15287.8638    15287.8   4.0 1 1 1.08
	       1542.43 15241.1077     15241.   4.0 1 1 0.40
	       1567.18 15187.1908     15187.   4.0 1 1 1.15
	       1621.52 15068.7998    15068.9   4.0 1 1 0.58
	       1627.70 15055.3407    15055.5   4.0 1 1 1.41
	       1704.74 14887.4828    14887.7   4.0 1 1 0.38
	       1729.79 14832.8891     14833.   4.0 1 1 0.66
	       1791.50 14698.4291    14698.4   4.0 1 1 1.95
	       1834.49 14604.7679    14604.8   4.0 1 1 0.78
	       1853.36 14563.6505     14564.   4.0 1 1 0.62
	       1874.02 14518.6524     14519.   4.0 1 1 0.35
	       1948.38 14356.6701    14356.7   4.0 1 1 0.35
	       2026.67 14186.1975    14186.1   4.0 1 1 0.35
	       2037.25 14163.1634    14162.9   4.0 1 1 0.60
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3347.007438437901
		3092.761990152496
		2851.555682404491
		2604.506138633762
		2356.467727267752
		2109.387383899454

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,18]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,18]
	units	Angstroms
	features	44
	        206.88   18120.92    18118.5   4.0 1 1 0.50
	        267.55 17992.6031     17994.   4.0 1 1 1.42
	        322.86 17875.1526    17880.3   4.0 1 1 1.20
	        424.73 17657.7463    17653.2   4.0 1 1 0.70
	        576.49 17332.0489    17330.9   4.0 1 1 2.00
	        633.98 17208.3217    17210.4   4.0 1 1 0.72
	        695.04 17076.7758    17078.3   4.0 1 1 0.32
	        751.68 16954.7182    16955.1   4.0 1 1 0.70
	        774.51  16905.506    16903.7   4.0 1 1 0.36
	        802.87 16844.3506    16840.5   4.0 1 1 1.20
	        865.83 16708.5351    16708.8   4.0 1 1 0.70
	        872.09 16695.0265    16692.1   4.0 1 1 1.80
	        936.59 16555.8035    16553.9   4.0 1 1 0.52
	        965.41 16493.5674    16502.3   4.0 1 1 1.45
	       1031.13 16351.5309    16351.3   4.0 1 1 0.30
	       1047.89 16315.2951    16317.2   4.0 1 1 0.83
	       1102.77 16196.5639    16194.7   4.0 1 1 2.30
	       1134.94 16126.9217    16128.6   4.0 1 1 0.30
	       1157.76 16077.5052    16079.8   4.0 1 1 0.75
	       1178.03 16033.6028    16030.8   4.0 1 1 
	       1205.41 15974.2656    15972.6   4.0 1 1 0.25
	       1264.35 15846.4194    15848.1   4.0 1 1 0.65
	       1270.96 15832.0643    15833.2   4.0 1 1 0.28
	       1352.37   15655.25     15655.   4.0 1 1 1.27
	       1362.88 15632.4086    15631.6   4.0 1 1 0.63
	       1378.61 15598.2033    15597.7   4.0 1 1 1.71
	       1404.73 15541.3726    15540.4   4.0 1 1 0.65
	       1454.64 15432.7215    15432.1   4.0 1 1 1.53
	       1471.69 15395.5873    15395.3   4.0 1 1 0.50
	       1500.52   15332.77    15332.4   4.0 1 1 0.90
	       1521.14 15287.8296    15287.8   4.0 1 1 2.30
	       1542.45 15241.3796     15241.   4.0 1 1 1.05
	       1567.29 15187.2392     15187.   4.0 1 1 0.35
	       1621.48 15069.0639    15068.9   4.0 1 1 0.70
	       1627.74 15055.4065    15055.5   4.0 1 1 0.55
	       1704.78 14887.3703    14887.7   4.0 1 1 1.08
	       1729.82 14832.7505     14833.   4.0 1 1 0.40
	       1791.46 14698.3234    14698.4   4.0 1 1 1.15
	       1834.50 14604.5195    14604.8   4.0 1 1 0.58
	       1853.37 14563.3882     14564.   4.0 1 1 1.41
	       1873.98 14518.4957     14519.   4.0 1 1 0.38
	       1948.38 14356.5133    14356.7   4.0 1 1 0.66
	       2026.63 14186.3837    14186.1   4.0 1 1 1.95
	       2037.22 14163.3788    14162.9   4.0 1 1 0.78
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3320.624091130685
		3094.997929450836
		2850.511234323946
		2604.966203737281
		2355.96478923839
		2111.143064066867

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,17]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,17]
	units	Angstroms
	features	43
	        208.24 18116.8052    18118.5   4.0 1 1 0.50
	        264.65 17996.9326     17994.   4.0 1 1 1.42
	        319.31 17880.5386    17880.3   4.0 1 1 1.20
	        418.64 17668.4812    17671.8   4.0 1 1 0.70
	        518.98  17453.666    17449.9   4.0 1 1 2.00
	        614.75 17248.1811    17248.6   4.0 1 1 0.72
	        632.47 17210.1285    17210.4   4.0 1 1 0.32
	        673.18 17122.6452    17123.6   4.0 1 1 0.70
	        728.63  17003.416    17008.8   4.0 1 1 0.36
	        802.90 16843.5917    16840.5   4.0 1 1 1.20
	        864.35 16711.2421    16708.8   4.0 1 1 0.70
	        872.60 16693.4632    16692.1   4.0 1 1 1.80
	        938.11  16552.207    16553.9   4.0 1 1 0.52
	       1013.73  16388.969    16388.5   4.0 1 1 1.45
	       1031.15 16351.3468    16351.3   4.0 1 1 0.30
	       1045.78 16319.7232    16317.2   4.0 1 1 0.83
	       1135.11  16126.534    16128.6   4.0 1 1 2.30
	       1156.35 16080.5715    16079.8   4.0 1 1 0.30
	       1179.70 16030.0081    16030.8   4.0 1 1 0.75
	       1206.41 15972.1231    15972.6   4.0 1 1 
	       1264.39 15846.4172    15848.1   4.0 1 1 0.25
	       1271.00 15832.0655    15833.2   4.0 1 1 0.65
	       1352.84 15654.3572     15655.   4.0 1 1 0.28
	       1363.38 15631.4431    15631.6   4.0 1 1 1.27
	       1377.92 15599.8262    15597.7   4.0 1 1 0.63
	       1405.37 15540.1235    15540.4   4.0 1 1 1.71
	       1454.71 15432.7337    15432.1   4.0 1 1 0.65
	       1471.99 15395.1066    15395.3   4.0 1 1 1.53
	       1500.65 15332.6904    15332.4   4.0 1 1 0.50
	       1521.14 15288.0299    15287.8   4.0 1 1 0.90
	       1542.54 15241.4024     15241.   4.0 1 1 2.30
	       1567.37 15187.2698     15187.   4.0 1 1 1.05
	       1621.55 15069.1347    15068.9   4.0 1 1 0.35
	       1627.74 15055.6275    15055.5   4.0 1 1 0.70
	       1704.79 14887.5809    14887.7   4.0 1 1 0.55
	       1729.77 14833.1002     14833.   4.0 1 1 1.08
	       1791.54 14698.3867    14698.4   4.0 1 1 0.40
	       1834.53  14604.674    14604.8   4.0 1 1 1.15
	       1853.46 14563.4179     14564.   4.0 1 1 0.58
	       1874.05 14518.5432     14519.   4.0 1 1 1.41
	       1948.42  14356.576    14356.7   4.0 1 1 0.38
	       2026.67 14186.3747    14186.1   4.0 1 1 0.66
	       2037.36 14163.1448    14162.9   4.0 1 1 1.95
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3328.463239141902
		3093.913967645571
		2850.478994746242
		2604.987351895177
		2356.040388099481
		2110.874447099305

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,16]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,16]
	units	Angstroms
	features	44
	        207.16 18121.8191    18118.5   4.0 1 1 0.50
	        269.17 17990.3962     17994.   4.0 1 1 1.42
	        322.51  17876.755    17880.3   4.0 1 1 1.20
	        418.45   17671.22    17671.8   4.0 1 1 0.70
	        425.08 17656.9806    17653.2   4.0 1 1 2.00
	        519.81 17452.9751    17449.9   4.0 1 1 0.72
	        577.91 17327.5962    17330.9   4.0 1 1 0.32
	        631.22 17212.4583    17210.4   4.0 1 1 0.70
	        672.07 17124.2566    17123.6   4.0 1 1 0.36
	        725.64  17008.627    17008.8   4.0 1 1 1.20
	        775.58  16900.905    16903.7   4.0 1 1 0.70
	        801.78 16844.4205    16840.5   4.0 1 1 1.80
	        865.73 16706.5837    16708.8   4.0 1 1 0.52
	        872.75 16691.4527    16692.1   4.0 1 1 1.45
	        990.10 16438.5133    16442.1   4.0 1 1 0.30
	       1012.68 16389.8278    16388.5   4.0 1 1 0.83
	       1029.98 16352.5225    16351.3   4.0 1 1 2.30
	       1086.50 16230.6173    16235.4   4.0 1 1 0.30
	       1098.95 16203.7565    16194.7   4.0 1 1 0.75
	       1134.80 16126.3692    16128.6   4.0 1 1 
	       1155.42 16081.8221    16079.8   4.0 1 1 0.25
	       1179.38 16030.0629    16030.8   4.0 1 1 0.65
	       1208.06 15968.0686    15972.6   4.0 1 1 0.28
	       1262.84 15849.5533    15848.1   4.0 1 1 1.27
	       1270.84 15832.2328    15833.2   4.0 1 1 0.63
	       1352.76 15654.6219     15655.   4.0 1 1 1.71
	       1363.38 15631.5714    15631.6   4.0 1 1 0.65
	       1378.12 15599.5663    15597.7   4.0 1 1 1.53
	       1472.25 15394.8165    15395.3   4.0 1 1 0.50
	       1500.80 15332.6365    15332.4   4.0 1 1 0.90
	       1521.11 15288.3677    15287.8   4.0 1 1 2.30
	       1542.71 15241.2907     15241.   4.0 1 1 1.05
	       1567.38 15187.4728     15187.   4.0 1 1 0.35
	       1621.63  15069.125    15068.9   4.0 1 1 0.70
	       1627.82 15055.6129    15055.5   4.0 1 1 0.55
	       1704.81   14887.57    14887.7   4.0 1 1 1.08
	       1729.80 14833.0345     14833.   4.0 1 1 0.40
	       1791.50 14698.3796    14698.4   4.0 1 1 1.15
	       1834.52 14604.5465    14604.8   4.0 1 1 0.58
	       1853.42 14563.3459     14564.   4.0 1 1 1.41
	       1873.99 14518.5165     14519.   4.0 1 1 0.38
	       1948.44 14356.4159    14356.7   4.0 1 1 0.66
	       2026.68 14186.3834    14186.1   4.0 1 1 1.95
	       2037.30 14163.3339    14162.9   4.0 1 1 0.78
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3316.84738836267
		3096.340401143448
		2849.562481392602
		2605.340594600759
		2355.687516097476
		2112.033692416076

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,15]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,15]
	units	Angstroms
	features	41
	        208.92  18118.373    18118.5   4.0 1 1 0.50
	        417.39 17671.5473    17671.8   4.0 1 1 1.42
	        518.62 17454.5666    17449.9   4.0 1 1 1.20
	        576.80 17329.8145    17330.9   4.0 1 1 0.70
	        616.58 17244.4775    17248.6   4.0 1 1 2.00
	        674.45  17120.286    17123.6   4.0 1 1 0.72
	        694.29  17077.678    17078.3   4.0 1 1 0.32
	        726.57 17008.3461    17008.8   4.0 1 1 0.70
	        751.03 16955.7944    16955.1   4.0 1 1 0.36
	        774.65 16905.0429    16903.7   4.0 1 1 1.20
	        803.60 16842.7896    16840.5   4.0 1 1 0.70
	        863.63 16713.6443    16708.8   4.0 1 1 1.80
	        939.01 16551.2779    16553.9   4.0 1 1 0.52
	        961.75 16502.2657    16502.3   4.0 1 1 1.45
	        988.32 16444.9697    16442.1   4.0 1 1 0.30
	       1049.62 16312.6629    16317.2   4.0 1 1 0.83
	       1085.63 16234.8744    16235.4   4.0 1 1 2.30
	       1104.41 16194.2671    16194.7   4.0 1 1 0.30
	       1157.79 16078.8047    16079.8   4.0 1 1 0.75
	       1179.90 16030.9317    16030.8   4.0 1 1 
	       1206.14 15974.0916    15972.6   4.0 1 1 0.25
	       1263.77 15849.1364    15848.1   4.0 1 1 0.65
	       1378.60  15599.601    15597.7   4.0 1 1 0.28
	       1406.12 15539.7033    15540.4   4.0 1 1 1.27
	       1457.76 15427.1974    15432.1   4.0 1 1 0.63
	       1470.45 15399.5209    15395.3   4.0 1 1 1.71
	       1503.73 15326.9553    15332.4   4.0 1 1 0.65
	       1520.69 15289.9513    15287.8   4.0 1 1 1.53
	       1542.66 15242.0002     15241.   4.0 1 1 0.50
	       1567.35 15188.1012     15187.   4.0 1 1 0.90
	       1621.70 15069.4227    15068.9   4.0 1 1 2.30
	       1627.95 15055.7718    15055.5   4.0 1 1 1.05
	       1704.86 14887.8045    14887.7   4.0 1 1 0.35
	       1729.82 14833.2818     14833.   4.0 1 1 0.70
	       1791.52 14698.5659    14698.4   4.0 1 1 0.55
	       1834.54 14604.6918    14604.8   4.0 1 1 1.08
	       1853.42 14563.5076     14564.   4.0 1 1 0.40
	       1874.05 14518.5163     14519.   4.0 1 1 1.15
	       1948.45 14356.4165    14356.7   4.0 1 1 0.58
	       2026.72  14186.192    14186.1   4.0 1 1 1.41
	       2037.28 14163.2564    14162.9   4.0 1 1 0.38
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3339.27604643005
		3093.699242964631
		2850.537148285794
		2605.363542773638
		2355.758362639232
		2111.582118971965

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,14]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,14]
	units	Angstroms
	features	45
	        269.20 17994.0335     17994.   4.0 1 1 0.50
	        322.71 17878.8796    17880.3   4.0 1 1 1.42
	        419.70 17670.1645    17671.8   4.0 1 1 1.20
	        424.73 17659.3416    17653.2   4.0 1 1 0.70
	        522.96 17447.8949    17449.9   4.0 1 1 2.00
	        579.30 17326.6332    17330.9   4.0 1 1 0.72
	        614.30 17251.2821    17248.6   4.0 1 1 0.32
	        632.68 17211.7132    17210.4   4.0 1 1 0.70
	        673.31 17124.2311    17123.6   4.0 1 1 0.36
	        693.08  17081.673    17078.3   4.0 1 1 1.20
	        730.90 17000.2563    17008.8   4.0 1 1 0.70
	        751.36 16956.1984    16955.1   4.0 1 1 1.80
	        805.98 16838.5647    16840.5   4.0 1 1 0.52
	        867.85 16705.2648    16708.8   4.0 1 1 1.45
	        872.56 16695.1117    16692.1   4.0 1 1 0.30
	        936.85 16556.5152    16553.9   4.0 1 1 0.83
	       1012.47  16393.369    16388.5   4.0 1 1 2.30
	       1030.27 16354.9213    16351.3   4.0 1 1 0.30
	       1045.97 16321.0183    16317.2   4.0 1 1 0.75
	       1086.84 16232.7054    16235.4   4.0 1 1 
	       1103.98 16195.6578    16194.7   4.0 1 1 0.25
	       1137.15 16123.9178    16128.6   4.0 1 1 0.65
	       1182.10 16026.6058    16030.8   4.0 1 1 0.28
	       1206.03 15974.7744    15972.6   4.0 1 1 1.27
	       1263.87 15849.3476    15848.1   4.0 1 1 0.63
	       1274.28 15826.7611    15833.2   4.0 1 1 1.71
	       1363.93 15631.9315    15631.6   4.0 1 1 0.65
	       1380.66 15595.5183    15597.7   4.0 1 1 1.53
	       1403.98 15544.7139    15540.4   4.0 1 1 0.50
	       1471.85 15396.7476    15395.3   4.0 1 1 0.90
	       1503.05 15328.6572    15332.4   4.0 1 1 2.30
	       1520.39 15290.7913    15287.8   4.0 1 1 1.05
	       1543.00 15241.4129     15241.   4.0 1 1 0.35
	       1567.44 15188.0204     15187.   4.0 1 1 0.70
	       1621.74 15069.3673    15068.9   4.0 1 1 0.55
	       1628.11 15055.4443    15055.5   4.0 1 1 1.08
	       1704.91 14887.6186    14887.7   4.0 1 1 0.40
	       1729.94  14832.913     14833.   4.0 1 1 1.15
	       1791.55 14698.3682    14698.4   4.0 1 1 0.58
	       1834.52 14604.5757    14604.8   4.0 1 1 1.41
	       1853.41 14563.3703     14564.   4.0 1 1 0.38
	       1874.08 14518.3134     14519.   4.0 1 1 0.66
	       1948.42 14356.4357    14356.7   4.0 1 1 1.95
	       2026.71 14186.3681    14186.1   4.0 1 1 0.78
	       2037.30 14163.3959    14162.9   4.0 1 1 0.62
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3339.608022052634
		3095.21958908415
		2850.475419514368
		2605.540585920408
		2355.508526932102
		2112.634448293539

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,13]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,13]
	units	Angstroms
	features	40
	        208.73  18118.538    18118.5   4.0 1 1 0.50
	        268.32 17992.1479     17994.   4.0 1 1 1.42
	        320.03 17882.1349    17880.3   4.0 1 1 1.20
	        417.86 17673.2513    17671.8   4.0 1 1 0.70
	        426.82 17654.0809    17653.2   4.0 1 1 2.00
	        578.03 17329.6582    17330.9   4.0 1 1 0.72
	        634.38 17208.4386    17210.4   4.0 1 1 0.32
	        673.82 17123.5313    17123.6   4.0 1 1 0.70
	        726.47 17010.1316    17008.8   4.0 1 1 0.36
	        753.87 16951.0885    16955.1   4.0 1 1 1.20
	        775.21  16905.091    16903.7   4.0 1 1 0.70
	        805.69 16839.3799    16840.5   4.0 1 1 1.80
	        936.12 16557.9539    16553.9   4.0 1 1 0.52
	        992.32 16436.5465    16442.1   4.0 1 1 1.45
	       1014.80 16387.9445    16388.5   4.0 1 1 0.30
	       1045.54 16321.4924    16317.2   4.0 1 1 0.83
	       1134.07 16129.9289    16128.6   4.0 1 1 2.30
	       1155.88 16082.6888    16079.8   4.0 1 1 0.30
	       1179.62 16031.2718    16030.8   4.0 1 1 0.75
	       1205.43 15975.3293    15972.6   4.0 1 1 
	       1264.69 15846.8357    15848.1   4.0 1 1 0.25
	       1271.78 15831.4676    15833.2   4.0 1 1 0.65
	       1351.71 15657.9377     15655.   4.0 1 1 0.28
	       1364.61 15629.9087    15631.6   4.0 1 1 1.27
	       1381.13 15594.0012    15597.7   4.0 1 1 0.63
	       1454.84 15433.7158    15432.1   4.0 1 1 1.71
	       1502.99 15328.8996    15332.4   4.0 1 1 0.65
	       1523.11 15285.0898    15287.8   4.0 1 1 1.53
	       1542.93 15241.9138     15241.   4.0 1 1 0.50
	       1622.92 15067.5642    15068.9   4.0 1 1 0.90
	       1627.89 15056.7248    15055.5   4.0 1 1 2.30
	       1705.06 14888.3665    14887.7   4.0 1 1 1.05
	       1730.09 14833.7389     14833.   4.0 1 1 0.35
	       1791.56 14699.5289    14698.4   4.0 1 1 0.70
	       1834.57   14605.57    14604.8   4.0 1 1 0.55
	       1853.41 14564.4055     14564.   4.0 1 1 1.08
	       1874.12 14519.1449     14519.   4.0 1 1 0.40
	       1948.44 14356.7083    14356.7   4.0 1 1 1.15
	       2026.66 14185.6908    14186.1   4.0 1 1 0.58
	       2037.33 14162.3591    14162.9   4.0 1 1 1.41
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3324.85696918709
		3094.860981578065
		2850.779866261443
		2605.064538199785
		2356.568838951615
		2107.678830931618

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,12]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,12]
	units	Angstroms
	features	39
	        209.38 18119.6392    18118.5   4.0 1 1 0.50
	        269.34 17992.1549     17994.   4.0 1 1 1.42
	        417.73 17674.0294    17671.8   4.0 1 1 1.20
	        428.38 17651.0841    17653.2   4.0 1 1 0.70
	        575.38 17333.6935    17330.9   4.0 1 1 2.00
	        615.62 17246.6926    17248.6   4.0 1 1 0.72
	        672.95 17122.8325    17123.6   4.0 1 1 0.32
	        696.06 17072.9507    17078.3   4.0 1 1 0.70
	        726.33 17007.6566    17008.8   4.0 1 1 0.36
	        747.00 16963.0797    16955.1   4.0 1 1 1.20
	        774.16 16904.5668    16903.7   4.0 1 1 0.70
	        872.03 16693.8747    16692.1   4.0 1 1 1.80
	       1048.12 16315.0402    16317.2   4.0 1 1 0.52
	       1086.09 16233.2756    16235.4   4.0 1 1 1.45
	       1104.16 16194.3635    16194.7   4.0 1 1 0.30
	       1137.75 16121.9914    16128.6   4.0 1 1 0.83
	       1157.50  16079.409    16079.8   4.0 1 1 2.30
	       1180.52  16029.737    16030.8   4.0 1 1 0.30
	       1204.27 15978.4753    15972.6   4.0 1 1 0.75
	       1264.60 15848.0819    15848.1   4.0 1 1 
	       1270.23 15835.9177    15833.2   4.0 1 1 0.25
	       1352.60 15657.3956     15655.   4.0 1 1 0.65
	       1363.85 15632.9618    15631.6   4.0 1 1 0.28
	       1381.38  15594.871    15597.7   4.0 1 1 1.27
	       1472.27 15396.9419    15395.3   4.0 1 1 0.63
	       1502.23  15331.563    15332.4   4.0 1 1 1.71
	       1523.22 15285.7332    15287.8   4.0 1 1 0.65
	       1543.37 15241.7096     15241.   4.0 1 1 1.53
	       1568.54 15186.7002     15187.   4.0 1 1 0.50
	       1628.19 15056.2446    15055.5   4.0 1 1 0.90
	       1704.69  14888.873    14887.7   4.0 1 1 2.30
	       1730.66  14832.041     14833.   4.0 1 1 1.05
	       1791.74 14698.4512    14698.4   4.0 1 1 0.35
	       1834.61 14604.7521    14604.8   4.0 1 1 0.70
	       1853.43  14563.626     14564.   4.0 1 1 0.55
	       1874.09 14518.5362     14519.   4.0 1 1 1.08
	       1948.43 14356.4431    14356.7   4.0 1 1 0.40
	       2026.65 14186.3965    14186.1   4.0 1 1 1.15
	       2037.38 14163.1137    14162.9   4.0 1 1 0.58
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3317.75366272331
		3097.121291856818
		2849.292125328497
		2606.12449386549
		2355.224988002448
		2113.065226632011

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,11]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,11]
	units	Angstroms
	features	46
	        269.08 17992.7702     17994.   4.0 1 1 0.50
	        320.77 17881.5056    17880.3   4.0 1 1 1.42
	        418.64 17671.1675    17671.8   4.0 1 1 1.20
	        425.75 17655.8975    17653.2   4.0 1 1 0.70
	        522.55 17448.1113    17449.9   4.0 1 1 2.00
	        575.79 17333.8134    17330.9   4.0 1 1 0.72
	        615.81 17247.8398    17248.6   4.0 1 1 0.32
	        634.71 17207.2355    17210.4   4.0 1 1 0.70
	        672.98 17124.9531    17123.6   4.0 1 1 0.36
	        696.76 17073.8123    17078.3   4.0 1 1 1.20
	        727.51 17007.6101    17008.8   4.0 1 1 0.70
	        752.09 16954.6635    16955.1   4.0 1 1 1.80
	        775.52 16904.1593    16903.7   4.0 1 1 0.52
	        803.01   16844.88    16840.5   4.0 1 1 1.45
	        865.82 16709.3236    16708.8   4.0 1 1 0.30
	        872.60 16694.6766    16692.1   4.0 1 1 0.83
	        939.94 16549.1572    16553.9   4.0 1 1 2.30
	        961.13 16503.3342    16502.3   4.0 1 1 0.30
	        988.91 16443.2352    16442.1   4.0 1 1 0.75
	       1013.50 16390.0346    16388.5   4.0 1 1 
	       1046.46 16318.6733    16317.2   4.0 1 1 0.25
	       1085.02 16235.1757    16235.4   4.0 1 1 0.65
	       1105.12 16191.6408    16194.7   4.0 1 1 0.28
	       1136.44  16123.787    16128.6   4.0 1 1 1.27
	       1178.91 16031.7578    16030.8   4.0 1 1 0.63
	       1203.54 15978.3721    15972.6   4.0 1 1 1.71
	       1263.43 15848.5241    15848.1   4.0 1 1 0.65
	       1271.34 15831.3645    15833.2   4.0 1 1 1.53
	       1352.46 15655.4649     15655.   4.0 1 1 0.50
	       1377.88 15600.3592    15597.7   4.0 1 1 0.90
	       1454.26  15434.722    15432.1   4.0 1 1 2.30
	       1472.70  15394.718    15395.3   4.0 1 1 1.05
	       1501.10 15333.1031    15332.4   4.0 1 1 0.35
	       1524.04 15283.3244    15287.8   4.0 1 1 0.70
	       1542.61 15243.0034     15241.   4.0 1 1 0.55
	       1569.27 15185.1211     15187.   4.0 1 1 1.08
	       1622.90 15068.5881    15068.9   4.0 1 1 0.40
	       1631.72 15049.4231    15055.5   4.0 1 1 1.15
	       1731.62 14831.9381     14833.   4.0 1 1 0.58
	       1791.75 14700.7107    14698.4   4.0 1 1 1.41
	       1834.66 14606.9058    14604.8   4.0 1 1 0.38
	       1853.43  14565.827     14564.   4.0 1 1 0.66
	       1874.16 14520.4296     14519.   4.0 1 1 1.95
	       1948.45 14357.3743    14356.7   4.0 1 1 0.78
	       2026.70 14184.9613    14186.1   4.0 1 1 0.62
	       2037.31 14161.5499    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3347.469071091267
		3093.740330624592
		2851.127713870283
		2604.441770027738
		2357.937829689035
		2101.727334873041

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,10]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,10]
	units	Angstroms
	features	41
	        209.97 18119.2382    18118.5   4.0 1 1 0.50
	        322.30 17879.1615    17880.3   4.0 1 1 1.42
	        420.84 17667.8602    17671.8   4.0 1 1 1.20
	        426.29  17656.152    17653.2   4.0 1 1 0.70
	        522.62 17449.0842    17449.9   4.0 1 1 2.00
	        577.96 17329.9797    17330.9   4.0 1 1 0.72
	        630.75 17216.3069    17210.4   4.0 1 1 0.32
	        673.69 17123.8037    17123.6   4.0 1 1 0.70
	        728.22 17006.3198    17008.8   4.0 1 1 0.36
	        804.04 16842.9521    16840.5   4.0 1 1 1.20
	        864.74 16712.0953    16708.8   4.0 1 1 0.70
	        875.68  16688.507    16692.1   4.0 1 1 1.80
	        938.26 16553.5271    16553.9   4.0 1 1 0.52
	        961.50 16503.3909    16502.3   4.0 1 1 1.45
	        991.66 16438.2883    16442.1   4.0 1 1 0.30
	       1014.75 16388.4484    16388.5   4.0 1 1 0.83
	       1087.03 16232.3089    16235.4   4.0 1 1 2.30
	       1135.18 16128.2034    16128.6   4.0 1 1 0.30
	       1158.07 16078.6939    16079.8   4.0 1 1 0.75
	       1179.50 16032.3185    16030.8   4.0 1 1 
	       1263.97 15849.3725    15848.1   4.0 1 1 0.25
	       1270.52 15835.1787    15833.2   4.0 1 1 0.65
	       1362.58 15635.4161    15631.6   4.0 1 1 0.28
	       1381.00 15595.4065    15597.7   4.0 1 1 1.27
	       1407.01 15538.8938    15540.4   4.0 1 1 0.63
	       1456.74 15430.7283    15432.1   4.0 1 1 1.71
	       1472.62 15396.1619    15395.3   4.0 1 1 0.65
	       1502.27 15331.6044    15332.4   4.0 1 1 1.53
	       1520.63 15291.6203    15287.8   4.0 1 1 0.50
	       1542.52 15243.9148     15241.   4.0 1 1 0.90
	       1569.35 15185.4441     15187.   4.0 1 1 2.30
	       1623.26 15067.8639    15068.9   4.0 1 1 1.05
	       1629.68  15053.841    15055.5   4.0 1 1 0.35
	       1706.07 14887.0684    14887.7   4.0 1 1 0.70
	       1732.00 14830.4333     14833.   4.0 1 1 0.55
	       1834.73 14605.9101    14604.8   4.0 1 1 1.08
	       1853.49 14564.8746     14564.   4.0 1 1 0.40
	       1874.26 14519.4541     14519.   4.0 1 1 1.15
	       1948.42 14357.2343    14356.7   4.0 1 1 0.58
	       2026.73 14185.8805    14186.1   4.0 1 1 1.41
	       2037.44 14162.4583    14162.9   4.0 1 1 0.38
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3330.639339384844
		3095.387118096888
		2850.561667623596
		2605.400784158784
		2356.55622698287
		2107.716503187309

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,9]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,9]
	units	Angstroms
	features	39
	        212.96 18117.3978    18118.5   4.0 1 1 0.50
	        268.55 17995.7632     17994.   4.0 1 1 1.42
	        417.81 17671.9915    17671.8   4.0 1 1 1.20
	        426.83 17652.5406    17653.2   4.0 1 1 0.70
	        521.21 17449.3715    17449.9   4.0 1 1 2.00
	        577.20 17329.1289    17330.9   4.0 1 1 0.72
	        614.46 17249.1877    17248.6   4.0 1 1 0.32
	        630.61 17214.5215    17210.4   4.0 1 1 0.70
	        675.31 17118.6046    17123.6   4.0 1 1 0.36
	        692.76 17081.1458    17078.3   4.0 1 1 1.20
	        752.13 16953.6103    16955.1   4.0 1 1 0.70
	        775.12 16904.2033    16903.7   4.0 1 1 1.80
	        805.86 16838.1165    16840.5   4.0 1 1 0.52
	        872.79 16694.0943    16692.1   4.0 1 1 1.45
	        934.48 16561.2206    16553.9   4.0 1 1 0.30
	        962.79 16500.1844    16502.3   4.0 1 1 0.83
	        991.31 16438.6888    16442.1   4.0 1 1 2.30
	       1014.87  16387.844    16388.5   4.0 1 1 0.30
	       1031.65 16351.6349    16351.3   4.0 1 1 0.75
	       1047.78 16316.7942    16317.2   4.0 1 1 
	       1134.92 16128.4947    16128.6   4.0 1 1 0.25
	       1180.22 16030.4886    16030.8   4.0 1 1 0.65
	       1263.91   15849.22    15848.1   4.0 1 1 0.28
	       1271.14  15833.556    15833.2   4.0 1 1 1.27
	       1355.55 15650.3883     15655.   4.0 1 1 0.63
	       1379.82 15597.6821    15597.7   4.0 1 1 1.71
	       1471.77 15397.7397    15395.3   4.0 1 1 0.65
	       1500.84 15334.4684    15332.4   4.0 1 1 1.53
	       1568.64 15186.7698     15187.   4.0 1 1 0.50
	       1622.23 15069.9407    15068.9   4.0 1 1 0.90
	       1629.14 15054.8769    15055.5   4.0 1 1 2.30
	       1704.99  14889.364    14887.7   4.0 1 1 1.05
	       1731.98 14830.4172     14833.   4.0 1 1 0.35
	       1836.25 14602.6257    14604.8   4.0 1 1 0.70
	       1853.47 14564.9904     14564.   4.0 1 1 0.55
	       1874.42 14519.1807     14519.   4.0 1 1 1.08
	       1948.46 14357.2822    14356.7   4.0 1 1 0.40
	       2026.76 14186.0271    14186.1   4.0 1 1 1.15
	       2037.26 14163.0429    14162.9   4.0 1 1 0.58
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3363.928885362503
		3093.525218693942
		2850.641173577932
		2605.286425618014
		2356.638840058268
		2107.714995824806

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,8]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,8]
	units	Angstroms
	features	43
	        266.03 17993.6464     17994.   4.0 1 1 0.50
	        420.18 17669.0509    17671.8   4.0 1 1 1.42
	        425.98 17656.7296    17653.2   4.0 1 1 1.20
	        521.70 17452.4694    17449.9   4.0 1 1 0.70
	        576.13 17335.6936    17330.9   4.0 1 1 2.00
	        618.00 17245.6478    17248.6   4.0 1 1 0.72
	        635.65 17207.6605    17210.4   4.0 1 1 0.32
	        675.43 17121.9124    17123.6   4.0 1 1 0.70
	        697.96  17073.329    17078.3   4.0 1 1 0.36
	        729.25 17005.8152    17008.8   4.0 1 1 1.20
	        751.68 16957.4033    16955.1   4.0 1 1 0.70
	        777.10 16902.5023    16903.7   4.0 1 1 1.80
	        805.57 16840.9827    16840.5   4.0 1 1 0.52
	        959.21 16508.6116    16502.3   4.0 1 1 1.45
	        989.56 16442.8992    16442.1   4.0 1 1 0.30
	       1013.44 16391.1634    16388.5   4.0 1 1 0.83
	       1031.81 16351.3625    16351.3   4.0 1 1 2.30
	       1045.89 16320.8434    16317.2   4.0 1 1 0.30
	       1086.32 16233.2097    16235.4   4.0 1 1 0.75
	       1101.52 16200.2557    16194.7   4.0 1 1 
	       1158.14 16077.4812    16079.8   4.0 1 1 0.25
	       1182.40 16024.8601    16030.8   4.0 1 1 0.65
	       1207.46 15970.5207    15972.6   4.0 1 1 0.28
	       1264.63 15846.4839    15848.1   4.0 1 1 1.27
	       1270.97 15832.7208    15833.2   4.0 1 1 0.63
	       1353.32 15654.0466     15655.   4.0 1 1 1.71
	       1363.95 15630.9876    15631.6   4.0 1 1 0.65
	       1380.94 15594.1205    15597.7   4.0 1 1 1.53
	       1404.71 15542.5475    15540.4   4.0 1 1 0.50
	       1455.63 15432.0597    15432.1   4.0 1 1 0.90
	       1520.40 15291.4632    15287.8   4.0 1 1 2.30
	       1542.87 15242.6797     15241.   4.0 1 1 1.05
	       1567.63 15188.9068     15187.   4.0 1 1 0.35
	       1622.46 15069.7462    15068.9   4.0 1 1 0.70
	       1629.45 15054.5521    15055.5   4.0 1 1 0.55
	       1731.90 14831.5446     14833.   4.0 1 1 1.08
	       1793.61 14696.9838    14698.4   4.0 1 1 0.40
	       1836.42 14603.4823    14604.8   4.0 1 1 1.15
	       1854.79 14563.3275     14564.   4.0 1 1 0.58
	       1874.57 14520.0511     14519.   4.0 1 1 1.41
	       1948.47 14358.1516    14356.7   4.0 1 1 0.38
	       2026.75 14186.1317    14186.1   4.0 1 1 0.66
	       2037.41 14162.6624    14162.9   4.0 1 1 1.95
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3302.264656494866
		3095.006509703337
		2851.338577239447
		2604.519108111537
		2357.851232568454
		2103.408918962457

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,7]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,7]
	units	Angstroms
	features	42
	        268.28 17996.1405     17994.   4.0 1 1 0.50
	        322.98 17876.6983    17880.3   4.0 1 1 1.42
	        418.23 17670.4499    17671.8   4.0 1 1 1.20
	        425.80 17654.1444    17653.2   4.0 1 1 0.70
	        518.32 17455.4214    17449.9   4.0 1 1 2.00
	        615.23 17247.9625    17248.6   4.0 1 1 0.72
	        633.13  17209.666    17210.4   4.0 1 1 0.32
	        674.89 17120.2596    17123.6   4.0 1 1 0.70
	        695.35 17076.4262    17078.3   4.0 1 1 0.36
	        751.26 16956.4564    16955.1   4.0 1 1 1.20
	        774.13 16907.3345    16903.7   4.0 1 1 0.70
	        807.04 16836.5892    16840.5   4.0 1 1 1.80
	        874.11 16692.1777    16692.1   4.0 1 1 0.52
	        962.85 16500.7035    16502.3   4.0 1 1 1.45
	        988.81 16444.6309    16442.1   4.0 1 1 0.30
	       1015.89 16386.0819    16388.5   4.0 1 1 0.83
	       1031.59 16352.1289    16351.3   4.0 1 1 2.30
	       1047.52 16317.6642    16317.2   4.0 1 1 0.30
	       1084.85 16236.8763    16235.4   4.0 1 1 0.75
	       1102.75 16198.1185    16194.7   4.0 1 1 
	       1133.00 16132.5803    16128.6   4.0 1 1 0.25
	       1158.37  16077.587    16079.8   4.0 1 1 0.65
	       1180.78 16029.0096    16030.8   4.0 1 1 0.28
	       1206.28 15973.7027    15972.6   4.0 1 1 1.27
	       1264.72 15846.8948    15848.1   4.0 1 1 0.63
	       1272.46 15830.0908    15833.2   4.0 1 1 1.71
	       1352.15 15657.0513     15655.   4.0 1 1 0.65
	       1380.08 15596.3723    15597.7   4.0 1 1 1.53
	       1407.57 15536.6456    15540.4   4.0 1 1 0.50
	       1455.26 15433.0018    15432.1   4.0 1 1 0.90
	       1472.80 15394.8671    15395.3   4.0 1 1 2.30
	       1522.94 15285.8408    15287.8   4.0 1 1 1.05
	       1542.52 15243.2618     15241.   4.0 1 1 0.35
	       1621.56  15071.225    15068.9   4.0 1 1 0.70
	       1626.95 15059.4973    15055.5   4.0 1 1 0.55
	       1732.45 14829.6085     14833.   4.0 1 1 1.08
	       1835.52  14604.698    14604.8   4.0 1 1 0.40
	       1854.79 14562.5965     14564.   4.0 1 1 1.15
	       1874.57 14519.3866     14519.   4.0 1 1 0.58
	       1948.75 14357.1613    14356.7   4.0 1 1 1.41
	       2026.76 14186.3187    14186.1   4.0 1 1 0.38
	       2037.41 14162.9713    14162.9   4.0 1 1 0.66
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3376.298654951937
		3092.106798171357
		2851.31978546696
		2604.784904293175
		2357.231350498755
		2106.032835831081

# Tue 18:28:11 03-Feb-2009
begin	identify sample_id_H[*,6]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,6]
	units	Angstroms
	features	34
	        320.13 17881.1823    17880.3   4.0 1 1 0.50
	        427.56 17650.8084    17653.2   4.0 1 1 1.42
	        521.81 17449.1611    17449.9   4.0 1 1 1.20
	        576.95 17331.2165    17330.9   4.0 1 1 0.70
	        631.78 17213.8551    17210.4   4.0 1 1 2.00
	        672.86 17125.8225    17123.6   4.0 1 1 0.72
	        695.26 17077.7758    17078.3   4.0 1 1 0.32
	        730.21 17002.7419    17008.8   4.0 1 1 0.70
	        750.68  16958.729    16955.1   4.0 1 1 0.36
	        776.93  16902.272    16903.7   4.0 1 1 1.20
	        872.35 16696.6832    16692.1   4.0 1 1 0.70
	        962.87 16501.1757    16502.3   4.0 1 1 1.80
	        990.62 16441.1638    16442.1   4.0 1 1 0.52
	       1015.49 16387.3559    16388.5   4.0 1 1 1.45
	       1032.35 16350.8461    16351.3   4.0 1 1 0.30
	       1048.36 16316.1886    16317.2   4.0 1 1 0.83
	       1104.49 16194.6162    16194.7   4.0 1 1 2.30
	       1158.39 16077.7813    16079.8   4.0 1 1 0.30
	       1206.91 15972.5632    15972.6   4.0 1 1 0.75
	       1270.96 15833.6065    15833.2   4.0 1 1 
	       1353.26 15655.0357     15655.   4.0 1 1 0.25
	       1362.16 15635.7259    15631.6   4.0 1 1 0.65
	       1456.93 15430.0945    15432.1   4.0 1 1 0.28
	       1471.96 15397.4795    15395.3   4.0 1 1 1.27
	       1504.66 15326.5113    15332.4   4.0 1 1 0.63
	       1566.95 15191.2439     15187.   4.0 1 1 1.71
	       1622.81 15069.8578    15068.9   4.0 1 1 0.65
	       1628.79 15056.8613    15055.5   4.0 1 1 1.53
	       1707.12 14886.4209    14887.7   4.0 1 1 0.50
	       1731.50 14833.3129     14833.   4.0 1 1 0.90
	       1837.27 14602.4631    14604.8   4.0 1 1 2.30
	       1949.46 14356.7044    14356.7   4.0 1 1 1.05
	       2026.82 14186.5654    14186.1   4.0 1 1 0.35
	       2037.43 14163.1783    14162.9   4.0 1 1 0.70
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3352.913937165907
		3092.48931986737
		2851.564875177018
		2604.618798257147
		2358.069666689746
		2102.978696765342

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,5]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,5]
	units	Angstroms
	features	40
	        208.36 18117.3886    18118.5   4.0 1 1 0.50
	        266.74 17994.6162     17994.   4.0 1 1 1.42
	        319.51 17883.0325    17880.3   4.0 1 1 1.20
	        419.46 17670.3728    17671.8   4.0 1 1 0.70
	        428.45 17651.1729    17653.2   4.0 1 1 2.00
	        577.24 17332.0869    17330.9   4.0 1 1 0.72
	        614.17 17252.6081    17248.6   4.0 1 1 0.32
	        675.12 17121.3427    17123.6   4.0 1 1 0.70
	        695.37 17077.7075    17078.3   4.0 1 1 0.36
	        727.64 17008.1612    17008.8   4.0 1 1 1.20
	        752.63 16954.2988    16955.1   4.0 1 1 0.70
	        776.86 16902.0774    16903.7   4.0 1 1 1.80
	        867.93  16705.677    16708.8   4.0 1 1 0.52
	        936.93  16556.783    16553.9   4.0 1 1 1.45
	        989.05 16444.2474    16442.1   4.0 1 1 0.30
	       1015.82 16386.4314    16388.5   4.0 1 1 0.83
	       1031.77 16351.9646    16351.3   4.0 1 1 2.30
	       1046.85 16319.3674    16317.2   4.0 1 1 0.30
	       1086.36 16233.9697    16235.4   4.0 1 1 0.75
	       1104.88 16193.9191    16194.7   4.0 1 1 
	       1133.00 16133.1098    16128.6   4.0 1 1 0.25
	       1158.46 16078.0054    16079.8   4.0 1 1 0.65
	       1179.83 16031.7543    16030.8   4.0 1 1 0.28
	       1205.93 15975.2359    15972.6   4.0 1 1 1.27
	       1265.05 15847.1547    15848.1   4.0 1 1 0.63
	       1364.23 15632.0217    15631.6   4.0 1 1 1.71
	       1382.71 15591.8955    15597.7   4.0 1 1 0.65
	       1456.54 15431.4526    15432.1   4.0 1 1 1.53
	       1472.25 15397.2883    15395.3   4.0 1 1 0.50
	       1504.84 15326.3999    15332.4   4.0 1 1 0.90
	       1542.71 15243.9621     15241.   4.0 1 1 2.30
	       1568.71 15187.3548     15187.   4.0 1 1 1.05
	       1622.07 15071.0672    15068.9   4.0 1 1 0.35
	       1705.94 14888.1054    14887.7   4.0 1 1 0.70
	       1729.90 14835.8126     14833.   4.0 1 1 0.55
	       1835.67 14604.6985    14604.8   4.0 1 1 1.08
	       1876.95 14514.4173     14519.   4.0 1 1 0.40
	       1948.07   14358.74    14356.7   4.0 1 1 1.15
	       2026.76 14186.3444    14186.1   4.0 1 1 0.58
	       2037.52 14162.7545    14162.9   4.0 1 1 1.41
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3314.157171033741
		3095.355988902076
		2850.746463079123
		2605.299338079065
		2356.958570601974
		2106.651693151508

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,4]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,4]
	units	Angstroms
	features	40
	        209.54 18118.0593    18118.5   4.0 1 1 0.50
	        267.06 17996.2604     17994.   4.0 1 1 1.42
	        322.37 17878.6937    17880.3   4.0 1 1 1.20
	        429.16   17650.64    17653.2   4.0 1 1 0.70
	        522.69 17449.9856    17449.9   4.0 1 1 2.00
	        614.77 17251.8528    17248.6   4.0 1 1 0.72
	        696.07 17076.6249    17078.3   4.0 1 1 0.32
	        727.12 17009.6623    17008.8   4.0 1 1 0.70
	        753.22 16953.3478    16955.1   4.0 1 1 0.36
	        775.49    16905.3    16903.7   4.0 1 1 1.20
	        804.91 16841.8191    16840.5   4.0 1 1 0.70
	        873.53 16693.6437    16692.1   4.0 1 1 1.80
	        936.28 16558.0628    16553.9   4.0 1 1 0.52
	        960.81 16505.0512    16502.3   4.0 1 1 1.45
	       1017.05 16383.4432    16388.5   4.0 1 1 0.30
	       1031.45 16352.2891    16351.3   4.0 1 1 0.83
	       1049.64 16312.9438    16317.2   4.0 1 1 2.30
	       1085.56 16235.2034    16235.4   4.0 1 1 0.30
	       1105.80  16191.391    16194.7   4.0 1 1 0.75
	       1134.93 16128.3244    16128.6   4.0 1 1 
	       1157.16 16080.1942    16079.8   4.0 1 1 0.25
	       1181.74 16026.9381    16030.8   4.0 1 1 0.65
	       1206.23 15973.8918    15972.6   4.0 1 1 0.28
	       1263.89 15848.9225    15848.1   4.0 1 1 1.27
	       1272.79 15829.6187    15833.2   4.0 1 1 0.63
	       1352.93 15655.8039     15655.   4.0 1 1 1.71
	       1378.73 15599.8138    15597.7   4.0 1 1 0.65
	       1454.72 15434.8323    15432.1   4.0 1 1 1.53
	       1472.98 15395.1658    15395.3   4.0 1 1 0.50
	       1501.74 15332.6769    15332.4   4.0 1 1 0.90
	       1521.13 15290.5488    15287.8   4.0 1 1 2.30
	       1542.72 15243.6245     15241.   4.0 1 1 1.05
	       1622.61 15069.8551    15068.9   4.0 1 1 0.35
	       1706.09 14888.1242    14887.7   4.0 1 1 0.70
	       1732.78 14830.0027     14833.   4.0 1 1 0.55
	       1794.00 14696.5576    14698.4   4.0 1 1 1.08
	       1835.31 14606.4727    14604.8   4.0 1 1 0.40
	       1856.02  14561.284     14564.   4.0 1 1 1.15
	       1950.63 14354.6929    14356.7   4.0 1 1 0.58
	       2037.18 14165.4808    14162.9   4.0 1 1 1.41
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3322.404021148111
		3095.35180699334
		2850.944405672475
		2604.960755910287
		2357.380808203459
		2107.321623253548

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,3]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,3]
	units	Angstroms
	features	46
	        267.99 17994.1697     17994.   4.0 1 1 0.50
	        320.10 17881.8407    17880.3   4.0 1 1 1.42
	        418.79  17670.385    17671.8   4.0 1 1 1.20
	        428.90 17648.7874    17653.2   4.0 1 1 0.70
	        520.83  17452.721    17449.9   4.0 1 1 2.00
	        616.04 17249.7549    17248.6   4.0 1 1 0.72
	        632.89 17213.7818    17210.4   4.0 1 1 0.32
	        675.27 17123.2186    17123.6   4.0 1 1 0.70
	        697.16 17076.3547    17078.3   4.0 1 1 0.36
	        727.45 17011.4077    17008.8   4.0 1 1 1.20
	        753.65 16955.1609    16955.1   4.0 1 1 0.70
	        779.58 16899.3898    16903.7   4.0 1 1 1.80
	        804.83 16845.0484    16840.5   4.0 1 1 0.52
	        869.50 16705.5391    16708.8   4.0 1 1 1.45
	        878.17 16686.8118    16692.1   4.0 1 1 0.30
	        939.57 16553.9911    16553.9   4.0 1 1 0.83
	        959.30 16511.2519    16502.3   4.0 1 1 2.30
	       1016.52 16387.1738    16388.5   4.0 1 1 0.30
	       1032.37 16352.7798    16351.3   4.0 1 1 0.75
	       1050.41 16313.6047    16317.2   4.0 1 1 
	       1087.89 16232.1974    16235.4   4.0 1 1 0.25
	       1136.29 16127.0015    16128.6   4.0 1 1 0.65
	       1158.32 16079.0869    16079.8   4.0 1 1 0.28
	       1180.29 16031.3093    16030.8   4.0 1 1 1.27
	       1205.87 15975.6751    15972.6   4.0 1 1 0.63
	       1263.66 15849.9688    15848.1   4.0 1 1 1.71
	       1271.79 15832.2771    15833.2   4.0 1 1 0.65
	       1353.19 15655.2843     15655.   4.0 1 1 1.53
	       1364.77 15630.1175    15631.6   4.0 1 1 0.50
	       1379.90  15597.223    15597.7   4.0 1 1 0.90
	       1405.87 15540.8037    15540.4   4.0 1 1 2.30
	       1456.58 15430.7059    15432.1   4.0 1 1 1.05
	       1471.73 15397.8119    15395.3   4.0 1 1 0.35
	       1501.11 15334.0413    15332.4   4.0 1 1 0.70
	       1542.82 15243.5095     15241.   4.0 1 1 0.55
	       1568.39 15188.0342     15187.   4.0 1 1 1.08
	       1622.70 15070.1893    15068.9   4.0 1 1 0.40
	       1631.41 15051.2829    15055.5   4.0 1 1 1.15
	       1733.37 14829.9325     14833.   4.0 1 1 0.58
	       1796.33 14693.1404    14698.4   4.0 1 1 1.41
	       1837.31  14604.019    14604.8   4.0 1 1 0.38
	       1854.57 14566.4872     14564.   4.0 1 1 0.66
	       1874.78 14522.4942     14519.   4.0 1 1 1.95
	       1948.87 14361.0804    14356.7   4.0 1 1 0.78
	       2031.50 14180.7018    14186.1   4.0 1 1 0.62
	       2038.66 14165.0521    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3364.832334929576
		3091.118694535086
		2852.637887916344
		2604.291653488314
		2358.355869747803
		2106.920986920424

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,2]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,2]
	units	Angstroms
	features	33
	        269.72 17995.2532     17994.   4.0 1 1 0.50
	        324.80 17877.2611    17880.3   4.0 1 1 1.42
	        427.68 17656.3164    17653.2   4.0 1 1 1.20
	        617.80 17246.6744    17248.6   4.0 1 1 0.70
	        635.24 17209.0299    17210.4   4.0 1 1 2.00
	        674.48 17124.3648    17123.6   4.0 1 1 0.72
	        753.04 16954.7816    16955.1   4.0 1 1 0.32
	        776.63 16903.8643    16903.7   4.0 1 1 0.70
	        805.13 16842.3366    16840.5   4.0 1 1 0.36
	        865.89 16711.1058    16708.8   4.0 1 1 1.20
	        875.56 16690.2252    16692.1   4.0 1 1 0.70
	        962.93  16501.455    16502.3   4.0 1 1 1.80
	       1014.46 16390.0438    16388.5   4.0 1 1 0.52
	       1033.33 16349.2397    16351.3   4.0 1 1 1.45
	       1087.22 16232.6655    16235.4   4.0 1 1 0.30
	       1104.36 16195.5873    16194.7   4.0 1 1 0.83
	       1133.51 16132.4851    16128.6   4.0 1 1 2.30
	       1207.11 15973.1091    15972.6   4.0 1 1 0.30
	       1264.03 15849.7389    15848.1   4.0 1 1 0.75
	       1274.05 15828.0056    15833.2   4.0 1 1 
	       1381.13 15595.6281    15597.7   4.0 1 1 0.25
	       1455.77 15433.4421    15432.1   4.0 1 1 0.65
	       1471.51 15399.2333    15395.3   4.0 1 1 0.28
	       1523.53 15286.0892    15287.8   4.0 1 1 1.27
	       1542.69 15244.4019     15241.   4.0 1 1 0.63
	       1568.40  15188.454     15187.   4.0 1 1 1.71
	       1623.42 15068.6762    15068.9   4.0 1 1 0.65
	       1631.75 15050.5372    15055.5   4.0 1 1 1.53
	       1707.12 14886.3825    14887.7   4.0 1 1 0.50
	       1837.19  14603.013    14604.8   4.0 1 1 0.90
	       1854.26 14565.8319     14564.   4.0 1 1 2.30
	       1874.74 14521.2171     14519.   4.0 1 1 1.05
	       2039.55   14162.25    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3331.028241277446
		3096.175149945412
		2850.945189953448
		2605.292382555226
		2357.099633269685
		2110.159442411024

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,1]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,1]
	units	Angstroms
	features	35
	        211.69 18118.7353    18118.5   4.0 1 1 0.50
	        270.34 17992.4175     17994.   4.0 1 1 1.42
	        322.15 17880.8737    17880.3   4.0 1 1 1.20
	        417.38 17675.8539    17671.8   4.0 1 1 0.70
	        524.36 17445.6254    17449.9   4.0 1 1 2.00
	        615.31 17249.9053    17248.6   4.0 1 1 0.72
	        632.74 17212.4167    17210.4   4.0 1 1 0.32
	        676.92  17117.359    17123.6   4.0 1 1 0.70
	        693.68 17081.3048    17078.3   4.0 1 1 0.36
	        777.50 16900.9489    16903.7   4.0 1 1 1.20
	        866.02 16710.3997    16708.8   4.0 1 1 0.70
	        873.30 16694.7448    16692.1   4.0 1 1 1.80
	        938.57 16554.1429    16553.9   4.0 1 1 0.52
	        961.79 16504.1044    16502.3   4.0 1 1 1.45
	        991.78 16439.4543    16442.1   4.0 1 1 0.30
	       1048.72 16316.6212    16317.2   4.0 1 1 0.83
	       1158.94  16078.476    16079.8   4.0 1 1 2.30
	       1207.16 15974.1069    15972.6   4.0 1 1 0.30
	       1264.23 15850.4333    15848.1   4.0 1 1 0.75
	       1270.51 15836.8041    15833.2   4.0 1 1 
	       1368.03 15624.9309    15631.6   4.0 1 1 0.25
	       1379.04 15600.9714    15597.7   4.0 1 1 0.65
	       1408.92 15535.9023    15540.4   4.0 1 1 0.28
	       1455.81 15433.6834    15432.1   4.0 1 1 1.27
	       1503.53 15329.5754    15332.4   4.0 1 1 0.63
	       1521.46 15290.4314    15287.8   4.0 1 1 1.71
	       1543.22 15242.9323     15241.   4.0 1 1 0.65
	       1622.10 15070.6821    15068.9   4.0 1 1 1.53
	       1631.03 15051.1895    15055.5   4.0 1 1 0.50
	       1704.75 14890.3057    14887.7   4.0 1 1 0.90
	       1732.34 14830.1437     14833.   4.0 1 1 2.30
	       1834.89 14606.9174    14604.8   4.0 1 1 1.05
	       1875.46 14518.8296     14519.   4.0 1 1 0.35
	       2027.53 14190.2672    14186.1   4.0 1 1 0.70
	       2042.26 14158.6096    14162.9   4.0 1 1 0.55
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3340.957867995786
		3095.305433499001
		2850.575655041889
		2605.948250574567
		2355.703062571794
		2117.525272287611

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,51]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,51]
	units	Angstroms
	features	51
	        208.20 18118.4247    18118.5   4.0 1 1 0.50
	        266.48 17994.0274     17994.   4.0 1 1 1.42
	        319.62 17880.4505    17880.3   4.0 1 1 1.20
	        417.12 17671.7715    17671.8   4.0 1 1 0.70
	        425.82 17653.1405    17653.2   4.0 1 1 2.00
	        520.54 17450.0049    17449.9   4.0 1 1 0.72
	        575.99 17330.9136    17330.9   4.0 1 1 0.32
	        614.40   17248.36    17248.6   4.0 1 1 0.70
	        631.99 17210.5384    17210.4   4.0 1 1 0.36
	        672.46 17123.4606    17123.6   4.0 1 1 1.20
	        693.44 17078.3102    17078.3   4.0 1 1 0.70
	        725.78 17008.6681    17008.8   4.0 1 1 1.80
	        750.66 16955.0795    16955.1   4.0 1 1 0.52
	        774.53 16903.6205    16903.7   4.0 1 1 1.45
	        803.72  16840.701    16840.5   4.0 1 1 0.30
	        864.81 16708.9005    16708.8   4.0 1 1 0.83
	        872.52 16692.2643    16692.1   4.0 1 1 2.30
	        936.69 16553.6843    16553.9   4.0 1 1 0.30
	        960.49 16502.2393    16502.3   4.0 1 1 0.75
	        988.21 16442.3335    16442.1   4.0 1 1 
	       1013.17 16388.3421    16388.5   4.0 1 1 0.25
	       1030.32 16351.2582    16351.3   4.0 1 1 0.65
	       1045.91  16317.534    16317.2   4.0 1 1 0.28
	       1083.85 16235.4097    16235.4   4.0 1 1 1.27
	       1102.70 16194.5985    16194.7   4.0 1 1 0.63
	       1133.27 16128.4112    16128.6   4.0 1 1 1.71
	       1155.69 16079.8415    16079.8   4.0 1 1 0.65
	       1178.32 16030.7916    16030.8   4.0 1 1 1.53
	       1205.19 15972.5661    15972.6   4.0 1 1 0.50
	       1262.61 15848.0376    15848.1   4.0 1 1 0.90
	       1269.41 15833.2875    15833.2   4.0 1 1 2.30
	       1351.42 15655.3148     15655.   4.0 1 1 1.05
	       1362.50 15631.2557    15631.6   4.0 1 1 0.35
	       1377.94  15597.721    15597.7   4.0 1 1 0.70
	       1404.21 15540.6513    15540.4   4.0 1 1 0.55
	       1454.18 15432.0927    15432.1   4.0 1 1 1.08
	       1471.13 15395.2418    15395.3   4.0 1 1 0.40
	       1500.05 15332.3656    15332.4   4.0 1 1 1.15
	       1520.52 15287.8772    15287.8   4.0 1 1 0.58
	       1542.15 15240.8219     15241.   4.0 1 1 1.41
	       1566.86 15187.0764     15187.   4.0 1 1 0.38
	       1621.27 15068.7102    15068.9   4.0 1 1 0.66
	       1627.37 15055.4263    15055.5   4.0 1 1 1.95
	       1704.48 14887.5701    14887.7   4.0 1 1 0.78
	       1729.49 14833.1126     14833.   4.0 1 1 0.62
	       1791.23 14698.6484    14698.4   4.0 1 1 0.35
	       1834.31 14604.7856    14604.8   4.0 1 1 0.35
	       1853.10 14563.8403     14564.   4.0 1 1 0.35
	       1873.64  14519.097     14519.   4.0 1 1 0.60
	       1948.08 14356.8467    14356.7   4.0 1 1 
	       2026.46 14185.9734    14186.1   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.336032423048
		3093.900010355947
		2850.457355512709
		2604.338170612543
		2356.561618907157
		2108.424519249434

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,52]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,52]
	units	Angstroms
	features	52
	        208.24 18118.4678    18118.5   4.0 1 1 0.50
	        266.51 17993.9997     17994.   4.0 1 1 1.42
	        319.63 17880.4289    17880.3   4.0 1 1 1.20
	        417.06 17671.8601    17671.8   4.0 1 1 0.70
	        425.87  17652.972    17653.2   4.0 1 1 2.00
	        520.56 17449.8991    17449.9   4.0 1 1 0.72
	        575.96 17330.9196    17330.9   4.0 1 1 0.32
	        614.29 17248.5528    17248.6   4.0 1 1 0.70
	        631.97 17210.5299    17210.4   4.0 1 1 0.36
	        672.40 17123.5644    17123.6   4.0 1 1 1.20
	        693.47  17078.219    17078.3   4.0 1 1 0.70
	        725.64 17008.9303    17008.8   4.0 1 1 1.80
	        750.66 16955.0433    16955.1   4.0 1 1 0.52
	        774.59 16903.4737    16903.7   4.0 1 1 1.45
	        803.67 16840.7807    16840.5   4.0 1 1 0.30
	        864.80 16708.8885    16708.8   4.0 1 1 0.83
	        872.53 16692.2043    16692.1   4.0 1 1 2.30
	        936.69 16553.6511    16553.9   4.0 1 1 0.30
	        960.49 16502.2203    16502.3   4.0 1 1 0.75
	        988.14 16442.4559    16442.1   4.0 1 1 
	       1013.01 16388.6697    16388.5   4.0 1 1 0.25
	       1030.33 16351.2022    16351.3   4.0 1 1 0.65
	       1046.04 16317.2196    16317.2   4.0 1 1 0.28
	       1083.90 16235.2797    16235.4   4.0 1 1 1.27
	       1102.78 16194.4141    16194.7   4.0 1 1 0.63
	       1133.21  16128.521    16128.6   4.0 1 1 1.71
	       1155.73 16079.7324    16079.8   4.0 1 1 0.65
	       1178.28  16030.862    16030.8   4.0 1 1 1.53
	       1205.21 15972.5024    15972.6   4.0 1 1 0.50
	       1262.63  15847.989    15848.1   4.0 1 1 0.90
	       1269.46 15833.1697    15833.2   4.0 1 1 2.30
	       1351.44 15655.2589     15655.   4.0 1 1 1.05
	       1362.40 15631.4586    15631.6   4.0 1 1 0.35
	       1377.90  15597.807    15597.7   4.0 1 1 0.70
	       1404.19 15540.7043    15540.4   4.0 1 1 0.55
	       1454.19 15432.0647    15432.1   4.0 1 1 1.08
	       1471.07 15395.3892    15395.3   4.0 1 1 0.40
	       1500.06  15332.373    15332.4   4.0 1 1 1.15
	       1520.54 15287.8426    15287.8   4.0 1 1 0.58
	       1542.12 15240.9151     15241.   4.0 1 1 1.41
	       1566.87  15187.078     15187.   4.0 1 1 0.38
	       1621.23 15068.8051    15068.9   4.0 1 1 0.66
	       1627.42 15055.3414    15055.5   4.0 1 1 1.95
	       1704.45 14887.6494    14887.7   4.0 1 1 0.78
	       1729.53 14833.0204     14833.   4.0 1 1 0.62
	       1791.27 14698.5166    14698.4   4.0 1 1 0.35
	       1834.28 14604.7977    14604.8   4.0 1 1 0.35
	       1853.04 14563.9008     14564.   4.0 1 1 0.35
	       1873.62 14519.0322     14519.   4.0 1 1 0.60
	       1948.03 14356.7768    14356.7   4.0 1 1 
	       2026.43 14185.7332    14186.1   4.0 1 1 0.20
	       2036.75 14163.2117    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.192191027417
		3093.852888478651
		2850.462174935294
		2604.326722789142
		2356.596249224396
		2107.948038595081

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,53]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,53]
	units	Angstroms
	features	52
	        208.19 18118.4481    18118.5   4.0 1 1 0.50
	        266.44 17994.0582     17994.   4.0 1 1 1.42
	        319.64 17880.3476    17880.3   4.0 1 1 1.20
	        416.99 17671.9855    17671.8   4.0 1 1 0.70
	        425.85 17652.9902    17653.2   4.0 1 1 2.00
	        520.66 17449.6845    17449.9   4.0 1 1 0.72
	        575.95 17330.9613    17330.9   4.0 1 1 0.32
	        614.36 17248.4228    17248.6   4.0 1 1 0.70
	        631.87  17210.772    17210.4   4.0 1 1 0.36
	        672.36 17123.6797    17123.6   4.0 1 1 1.20
	        693.50 17078.1919    17078.3   4.0 1 1 0.70
	        725.73 17008.7978    17008.8   4.0 1 1 1.80
	        750.68 16955.0386    16955.1   4.0 1 1 0.52
	        774.55 16903.6117    16903.7   4.0 1 1 1.45
	        803.75 16840.6517    16840.5   4.0 1 1 0.30
	        864.87 16708.7981    16708.8   4.0 1 1 0.83
	        872.63  16692.044    16692.1   4.0 1 1 2.30
	        936.65 16553.7789    16553.9   4.0 1 1 0.30
	        960.46 16502.3184    16502.3   4.0 1 1 0.75
	        988.07 16442.6389    16442.1   4.0 1 1 
	       1013.06 16388.5845    16388.5   4.0 1 1 0.25
	       1030.35 16351.1879    16351.3   4.0 1 1 0.65
	       1046.09 16317.1457    16317.2   4.0 1 1 0.28
	       1083.90 16235.2939    16235.4   4.0 1 1 1.27
	       1102.73 16194.5407    16194.7   4.0 1 1 0.63
	       1133.18  16128.589    16128.6   4.0 1 1 1.71
	       1155.79  16079.608    16079.8   4.0 1 1 0.65
	       1178.25  16030.927    16030.8   4.0 1 1 1.53
	       1205.12 15972.6786    15972.6   4.0 1 1 0.50
	       1262.70 15847.8201    15848.1   4.0 1 1 0.90
	       1269.50 15833.0714    15833.2   4.0 1 1 2.30
	       1351.46  15655.187     15655.   4.0 1 1 1.05
	       1362.38 15631.4622    15631.6   4.0 1 1 0.35
	       1377.97 15597.6075    15597.7   4.0 1 1 0.70
	       1404.21 15540.6263    15540.4   4.0 1 1 0.55
	       1454.14 15432.1323    15432.1   4.0 1 1 1.08
	       1471.14  15395.184    15395.3   4.0 1 1 0.40
	       1500.02 15332.4133    15332.4   4.0 1 1 1.15
	       1520.48 15287.9248    15287.8   4.0 1 1 0.58
	       1542.12 15240.8711     15241.   4.0 1 1 1.41
	       1566.71 15187.3947     15187.   4.0 1 1 0.38
	       1621.14 15068.9868    15068.9   4.0 1 1 0.66
	       1627.39 15055.3754    15055.5   4.0 1 1 1.95
	       1704.48 14887.5891    14887.7   4.0 1 1 0.78
	       1729.50 14833.0989     14833.   4.0 1 1 0.62
	       1791.30 14698.5154    14698.4   4.0 1 1 0.35
	       1834.32 14604.8142    14604.8   4.0 1 1 0.35
	       1853.07 14563.9685     14564.   4.0 1 1 0.35
	       1873.63 14519.1579     14519.   4.0 1 1 0.60
	       1948.55 14355.8831    14356.7   4.0 1 1 
	       2026.39 14186.2108    14186.1   4.0 1 1 0.20
	       2036.93 14163.2301    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.019963548648
		3093.820043783324
		2850.483434815313
		2604.315928469465
		2356.587736695742
		2108.420709822623

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,54]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,54]
	units	Angstroms
	features	52
	        208.16 18118.5102    18118.5   4.0 1 1 0.50
	        266.52 17993.8675     17994.   4.0 1 1 1.42
	        319.58 17880.4339    17880.3   4.0 1 1 1.20
	        417.00 17671.8884    17671.8   4.0 1 1 0.70
	        425.71 17653.2141    17653.2   4.0 1 1 2.00
	        520.50 17449.9612    17449.9   4.0 1 1 0.72
	        575.95 17330.8945    17330.9   4.0 1 1 0.32
	        614.42 17248.2182    17248.6   4.0 1 1 0.70
	        631.97 17210.4983    17210.4   4.0 1 1 0.36
	        672.37 17123.5868    17123.6   4.0 1 1 1.20
	        693.40 17078.3368    17078.3   4.0 1 1 0.70
	        725.75 17008.6872    17008.8   4.0 1 1 1.80
	        750.64 16955.0664    16955.1   4.0 1 1 0.52
	        774.49 16903.6783    16903.7   4.0 1 1 1.45
	        803.81 16840.4685    16840.5   4.0 1 1 0.30
	        864.84 16708.8071    16708.8   4.0 1 1 0.83
	        872.46 16692.3582    16692.1   4.0 1 1 2.30
	        936.60 16553.8294    16553.9   4.0 1 1 0.30
	        960.38 16502.4463    16502.3   4.0 1 1 0.75
	        988.11 16442.5097    16442.1   4.0 1 1 
	       1013.00 16388.6781    16388.5   4.0 1 1 0.25
	       1030.32 16351.2137    16351.3   4.0 1 1 0.65
	       1046.15 16316.9668    16317.2   4.0 1 1 0.28
	       1083.82 16235.4495    16235.4   4.0 1 1 1.27
	       1102.81 16194.3327    16194.7   4.0 1 1 0.63
	       1133.12 16128.6859    16128.6   4.0 1 1 1.71
	       1155.74 16079.6789    16079.8   4.0 1 1 0.65
	       1178.29 16030.8093    16030.8   4.0 1 1 1.53
	       1205.16 15972.5655    15972.6   4.0 1 1 0.50
	       1262.57 15848.0612    15848.1   4.0 1 1 0.90
	       1269.49 15833.0559    15833.2   4.0 1 1 2.30
	       1351.52 15655.0357     15655.   4.0 1 1 1.05
	       1362.38 15631.4498    15631.6   4.0 1 1 0.35
	       1377.86 15597.8326    15597.7   4.0 1 1 0.70
	       1404.16 15540.7039    15540.4   4.0 1 1 0.55
	       1454.16 15432.0709    15432.1   4.0 1 1 1.08
	       1471.02 15395.4258    15395.3   4.0 1 1 0.40
	       1500.02 15332.3851    15332.4   4.0 1 1 1.15
	       1520.50 15287.8534    15287.8   4.0 1 1 0.58
	       1542.09 15240.9079     15241.   4.0 1 1 1.41
	       1566.85 15187.0606     15187.   4.0 1 1 0.38
	       1621.21 15068.7961    15068.9   4.0 1 1 0.66
	       1627.37 15055.3726    15055.5   4.0 1 1 1.95
	       1704.48 14887.5223    14887.7   4.0 1 1 0.78
	       1729.47 14833.1026     14833.   4.0 1 1 0.62
	       1791.25 14698.5317    14698.4   4.0 1 1 0.35
	       1834.30 14604.7282    14604.8   4.0 1 1 0.35
	       1853.00 14563.9792     14564.   4.0 1 1 0.35
	       1873.58 14519.1137     14519.   4.0 1 1 0.60
	       1948.07 14356.7302    14356.7   4.0 1 1 
	       2026.40 14185.8968    14186.1   4.0 1 1 0.20
	       2036.87 14163.0425    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.319697602727
		3093.799164546665
		2850.471744525917
		2604.314503519064
		2356.580860736968
		2108.129376130847

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,55]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,55]
	units	Angstroms
	features	52
	        208.14 18118.4729    18118.5   4.0 1 1 0.50
	        266.49 17993.9309     17994.   4.0 1 1 1.42
	        319.58 17880.4706    17880.3   4.0 1 1 1.20
	        417.11 17671.7235    17671.8   4.0 1 1 0.70
	        425.73 17653.2426    17653.2   4.0 1 1 2.00
	        520.50 17450.0108    17449.9   4.0 1 1 0.72
	        575.97 17330.8785    17330.9   4.0 1 1 0.32
	        614.33  17248.434    17248.6   4.0 1 1 0.70
	        631.96 17210.5239    17210.4   4.0 1 1 0.36
	        672.36 17123.6136    17123.6   4.0 1 1 1.20
	        693.50 17078.1197    17078.3   4.0 1 1 0.70
	        725.81 17008.5411    17008.8   4.0 1 1 1.80
	        750.68 16954.9731    16955.1   4.0 1 1 0.52
	        774.46 16903.7164    16903.7   4.0 1 1 1.45
	        803.63 16840.8191    16840.5   4.0 1 1 0.30
	        864.94 16708.5622    16708.8   4.0 1 1 0.83
	        872.48 16692.2869    16692.1   4.0 1 1 2.30
	        936.51 16554.0016    16553.9   4.0 1 1 0.30
	        960.39 16502.3882    16502.3   4.0 1 1 0.75
	        988.07 16442.5577    16442.1   4.0 1 1 
	       1012.99  16388.685    16388.5   4.0 1 1 0.25
	       1030.24 16351.3555    16351.3   4.0 1 1 0.65
	       1046.27 16316.6881    16317.2   4.0 1 1 0.28
	       1083.89 16235.2637    16235.4   4.0 1 1 1.27
	       1102.61 16194.7372    16194.7   4.0 1 1 0.63
	       1133.16 16128.5762    16128.6   4.0 1 1 1.71
	       1155.74 16079.6601    16079.8   4.0 1 1 0.65
	       1178.25 16030.8806    16030.8   4.0 1 1 1.53
	       1205.16  15972.557    15972.6   4.0 1 1 0.50
	       1262.49 15848.2474    15848.1   4.0 1 1 0.90
	       1269.53 15832.9651    15833.2   4.0 1 1 2.30
	       1351.47  15655.149     15655.   4.0 1 1 1.05
	       1362.46 15631.2911    15631.6   4.0 1 1 0.35
	       1377.82 15597.9275    15597.7   4.0 1 1 0.70
	       1404.26 15540.5093    15540.4   4.0 1 1 0.55
	       1454.14 15432.1165    15432.1   4.0 1 1 1.08
	       1471.07 15395.3328    15395.3   4.0 1 1 0.40
	       1500.05 15332.3419    15332.4   4.0 1 1 1.15
	       1520.49 15287.8853    15287.8   4.0 1 1 0.58
	       1542.12 15240.8421     15241.   4.0 1 1 1.41
	       1566.83 15187.0973     15187.   4.0 1 1 0.38
	       1621.15 15068.8973    15068.9   4.0 1 1 0.66
	       1627.36 15055.4008    15055.5   4.0 1 1 1.95
	       1704.45 14887.5447    14887.7   4.0 1 1 0.78
	       1729.47 14833.0634     14833.   4.0 1 1 0.62
	       1791.21 14698.5491    14698.4   4.0 1 1 0.35
	       1834.23 14604.7907    14604.8   4.0 1 1 0.35
	       1852.98 14563.9081     14564.   4.0 1 1 0.35
	       1873.57 14519.0154     14519.   4.0 1 1 0.60
	       1947.92 14356.8758    14356.7   4.0 1 1 
	       2026.34 14185.7542    14186.1   4.0 1 1 0.20
	       2036.71 14163.1242    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.387626615575
		3093.880632393963
		2850.448355339703
		2604.325768944277
		2356.569201194689
		2107.879208393569

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,56]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,56]
	units	Angstroms
	features	52
	        208.15 18118.5036    18118.5   4.0 1 1 0.50
	        266.44 17993.9935     17994.   4.0 1 1 1.42
	        319.61  17880.331    17880.3   4.0 1 1 1.20
	        417.05  17671.727    17671.8   4.0 1 1 0.70
	        425.72 17653.1664    17653.2   4.0 1 1 2.00
	        520.45  17450.005    17449.9   4.0 1 1 0.72
	        575.88 17330.9944    17330.9   4.0 1 1 0.32
	        614.24 17248.5489    17248.6   4.0 1 1 0.70
	        632.01 17210.3466    17210.4   4.0 1 1 0.36
	        672.35  17123.595    17123.6   4.0 1 1 1.20
	        693.34 17078.4172    17078.3   4.0 1 1 0.70
	        725.78 17008.5619    17008.8   4.0 1 1 1.80
	        750.62 16955.0693    16955.1   4.0 1 1 0.52
	        774.51 16903.5731    16903.7   4.0 1 1 1.45
	        803.69 16840.6851    16840.5   4.0 1 1 0.30
	        864.92 16708.5935    16708.8   4.0 1 1 0.83
	        872.45 16692.3406    16692.1   4.0 1 1 2.30
	        936.51 16553.9797    16553.9   4.0 1 1 0.30
	        960.45 16502.2508    16502.3   4.0 1 1 0.75
	        988.05 16442.5958    16442.1   4.0 1 1 
	       1013.00 16388.6482    16388.5   4.0 1 1 0.25
	       1030.33 16351.1509    16351.3   4.0 1 1 0.65
	       1046.20 16316.8208    16317.2   4.0 1 1 0.28
	       1083.83 16235.3671    16235.4   4.0 1 1 1.27
	       1102.64 16194.6517    16194.7   4.0 1 1 0.63
	       1133.10 16128.6757    16128.6   4.0 1 1 1.71
	       1155.69  16079.736    16079.8   4.0 1 1 0.65
	       1178.28 16030.7684    16030.8   4.0 1 1 1.53
	       1205.10 15972.6345    15972.6   4.0 1 1 0.50
	       1262.57 15847.9895    15848.1   4.0 1 1 0.90
	       1269.47 15833.0212    15833.2   4.0 1 1 2.30
	       1351.38 15655.2408     15655.   4.0 1 1 1.05
	       1362.33 15631.4508    15631.6   4.0 1 1 0.35
	       1377.90 15597.6434    15597.7   4.0 1 1 0.70
	       1404.13 15540.6717    15540.4   4.0 1 1 0.55
	       1454.05 15432.1715    15432.1   4.0 1 1 1.08
	       1471.11 15395.0923    15395.3   4.0 1 1 0.40
	       1500.01 15332.2708    15332.4   4.0 1 1 1.15
	       1520.53 15287.6375    15287.8   4.0 1 1 0.58
	       1542.03  15240.866     15241.   4.0 1 1 1.41
	       1566.80 15187.0033     15187.   4.0 1 1 0.38
	       1620.40 15070.3703    15068.9   4.0 1 1 0.66
	       1627.39 15055.1494    15055.5   4.0 1 1 1.95
	       1704.49 14887.3128    14887.7   4.0 1 1 0.78
	       1729.47  14832.908     14833.   4.0 1 1 0.62
	       1791.22 14698.4336    14698.4   4.0 1 1 0.35
	       1834.29  14604.594    14604.8   4.0 1 1 0.35
	       1852.93 14563.9869     14564.   4.0 1 1 0.35
	       1873.60  14518.945     14519.   4.0 1 1 0.60
	       1948.04 14356.7351    14356.7   4.0 1 1 
	       2026.38 14186.0114    14186.1   4.0 1 1 0.20
	       2036.91 14163.0628    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.312676009643
		3093.79678706647
		2850.459752412234
		2604.314867542524
		2356.493243701911
		2108.60072573093

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,57]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,57]
	units	Angstroms
	features	52
	        208.14 18118.4647    18118.5   4.0 1 1 0.50
	        266.43 17994.0039     17994.   4.0 1 1 1.42
	        319.58 17880.3973    17880.3   4.0 1 1 1.20
	        417.03 17671.7889    17671.8   4.0 1 1 0.70
	        425.74 17653.1406    17653.2   4.0 1 1 2.00
	        520.51 17449.8948    17449.9   4.0 1 1 0.72
	        575.90 17330.9469    17330.9   4.0 1 1 0.32
	        614.17 17248.6986    17248.6   4.0 1 1 0.70
	        632.06 17210.2225    17210.4   4.0 1 1 0.36
	        672.31 17123.6516    17123.6   4.0 1 1 1.20
	        693.39 17078.2775    17078.3   4.0 1 1 0.70
	        725.69 17008.7217    17008.8   4.0 1 1 1.80
	        750.63 16955.0121    16955.1   4.0 1 1 0.52
	        774.48 16903.6041    16903.7   4.0 1 1 1.45
	        803.70 16840.6215    16840.5   4.0 1 1 0.30
	        864.79 16708.8251    16708.8   4.0 1 1 0.83
	        872.49 16692.2125    16692.1   4.0 1 1 2.30
	        936.57 16553.8333    16553.9   4.0 1 1 0.30
	        960.31  16502.521    16502.3   4.0 1 1 0.75
	        988.11  16442.444    16442.1   4.0 1 1 
	       1012.96 16388.6955    16388.5   4.0 1 1 0.25
	       1030.25 16351.2968    16351.3   4.0 1 1 0.65
	       1046.10 16317.0245    16317.2   4.0 1 1 0.28
	       1083.98  16235.042    16235.4   4.0 1 1 1.27
	       1102.71 16194.4782    16194.7   4.0 1 1 0.63
	       1133.17 16128.5273    16128.6   4.0 1 1 1.71
	       1155.68 16079.7585    16079.8   4.0 1 1 0.65
	       1178.30  16030.739    16030.8   4.0 1 1 1.53
	       1205.03 15972.8105    15972.6   4.0 1 1 0.50
	       1262.68 15847.7805    15848.1   4.0 1 1 0.90
	       1269.41 15833.1932    15833.2   4.0 1 1 2.30
	       1351.33 15655.3895     15655.   4.0 1 1 1.05
	       1362.36  15631.439    15631.6   4.0 1 1 0.35
	       1377.92 15597.6519    15597.7   4.0 1 1 0.70
	       1404.16 15540.6554    15540.4   4.0 1 1 0.55
	       1454.05 15432.2303    15432.1   4.0 1 1 1.08
	       1471.05 15395.2829    15395.3   4.0 1 1 0.40
	       1499.99 15332.3639    15332.4   4.0 1 1 1.15
	       1520.48 15287.7973    15287.8   4.0 1 1 0.58
	       1542.08 15240.8271     15241.   4.0 1 1 1.41
	       1566.74 15187.1786     15187.   4.0 1 1 0.38
	       1621.04 15069.0204    15068.9   4.0 1 1 0.66
	       1627.34 15055.3282    15055.5   4.0 1 1 1.95
	       1704.41 14887.5402    14887.7   4.0 1 1 0.78
	       1729.44 14833.0264     14833.   4.0 1 1 0.62
	       1791.23 14698.4406    14698.4   4.0 1 1 0.35
	       1834.28 14604.6591    14604.8   4.0 1 1 0.35
	       1852.92 14564.0318     14564.   4.0 1 1 0.35
	       1873.59 14518.9824     14519.   4.0 1 1 0.60
	       1947.94 14356.9562    14356.7   4.0 1 1 
	       2026.46 14185.7927    14186.1   4.0 1 1 0.20
	       2036.88 14163.0773    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.688298096054
		3093.85282690248
		2850.434829297851
		2604.3301199016
		2356.502836244374
		2108.486230602326

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,58]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,58]
	units	Angstroms
	features	52
	        208.13 18118.4684    18118.5   4.0 1 1 0.50
	        266.44 17993.9594     17994.   4.0 1 1 1.42
	        319.57  17880.418    17880.3   4.0 1 1 1.20
	        416.94 17672.0023    17671.8   4.0 1 1 0.70
	        425.80 17653.0174    17653.2   4.0 1 1 2.00
	        520.53 17449.8785    17449.9   4.0 1 1 0.72
	        575.90 17330.9787    17330.9   4.0 1 1 0.32
	        614.33 17248.3805    17248.6   4.0 1 1 0.70
	        631.96  17210.468    17210.4   4.0 1 1 0.36
	        672.33 17123.6218    17123.6   4.0 1 1 1.20
	        693.42 17078.2288    17078.3   4.0 1 1 0.70
	        725.73 17008.6649    17008.8   4.0 1 1 1.80
	        750.60 16955.0821    16955.1   4.0 1 1 0.52
	        774.53 16903.5068    16903.7   4.0 1 1 1.45
	        803.67 16840.6814    16840.5   4.0 1 1 0.30
	        864.76 16708.8827    16708.8   4.0 1 1 0.83
	        872.49  16692.202    16692.1   4.0 1 1 2.30
	        936.53 16553.8765    16553.9   4.0 1 1 0.30
	        960.30 16502.5071    16502.3   4.0 1 1 0.75
	        988.07 16442.4756    16442.1   4.0 1 1 
	       1012.83 16388.9402    16388.5   4.0 1 1 0.25
	       1030.27 16351.1933    16351.3   4.0 1 1 0.65
	       1046.11 16316.9344    16317.2   4.0 1 1 0.28
	       1083.88  16235.172    16235.4   4.0 1 1 1.27
	       1102.70 16194.4372    16194.7   4.0 1 1 0.63
	       1133.11  16128.562    16128.6   4.0 1 1 1.71
	       1155.71 16079.6083    16079.8   4.0 1 1 0.65
	       1178.25  16030.763    16030.8   4.0 1 1 1.53
	       1205.10 15972.5627    15972.6   4.0 1 1 0.50
	       1262.56 15847.9523    15848.1   4.0 1 1 0.90
	       1269.38 15833.1575    15833.2   4.0 1 1 2.30
	       1351.31 15655.3524     15655.   4.0 1 1 1.05
	       1362.32 15631.4553    15631.6   4.0 1 1 0.35
	       1377.86 15597.7119    15597.7   4.0 1 1 0.70
	       1404.11 15540.6828    15540.4   4.0 1 1 0.55
	       1453.99 15432.3164    15432.1   4.0 1 1 1.08
	       1471.06 15395.2216    15395.3   4.0 1 1 0.40
	       1499.97 15332.3846    15332.4   4.0 1 1 1.15
	       1520.49 15287.7656    15287.8   4.0 1 1 0.58
	       1542.08 15240.8269     15241.   4.0 1 1 1.41
	       1566.72 15187.2376     15187.   4.0 1 1 0.38
	       1621.14  15068.852    15068.9   4.0 1 1 0.66
	       1627.39 15055.2422    15055.5   4.0 1 1 1.95
	       1704.42 14887.5703    14887.7   4.0 1 1 0.78
	       1729.43 14833.1185     14833.   4.0 1 1 0.62
	       1791.20 14698.5561    14698.4   4.0 1 1 0.35
	       1834.26 14604.7366    14604.8   4.0 1 1 0.35
	       1852.99 14563.9196     14564.   4.0 1 1 0.35
	       1873.57 14519.0591     14519.   4.0 1 1 0.60
	       1948.01 14356.7522    14356.7   4.0 1 1 
	       2026.36 14185.8556    14186.1   4.0 1 1 0.20
	       2036.79 14163.0989    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.808668084119
		3093.823829119861
		2850.4603410077
		2604.281999426267
		2356.591338045612
		2107.995988812199

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,59]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,59]
	units	Angstroms
	features	52
	        208.12 18118.4889    18118.5   4.0 1 1 0.50
	        266.39 17994.0154     17994.   4.0 1 1 1.42
	        319.58 17880.2981    17880.3   4.0 1 1 1.20
	        416.91  17671.978    17671.8   4.0 1 1 0.70
	        425.77 17652.9862    17653.2   4.0 1 1 2.00
	        520.43 17450.0223    17449.9   4.0 1 1 0.72
	        575.93 17330.8498    17330.9   4.0 1 1 0.32
	        614.25 17248.5139    17248.6   4.0 1 1 0.70
	        631.92 17210.5362    17210.4   4.0 1 1 0.36
	        672.34 17123.5859    17123.6   4.0 1 1 1.20
	        693.40 17078.2748    17078.3   4.0 1 1 0.70
	        725.72 17008.6919    17008.8   4.0 1 1 1.80
	        750.56 16955.1751    16955.1   4.0 1 1 0.52
	        774.50  16903.577    16903.7   4.0 1 1 1.45
	        803.86 16840.2956    16840.5   4.0 1 1 0.30
	        864.81 16708.7734    16708.8   4.0 1 1 0.83
	        872.46  16692.267    16692.1   4.0 1 1 2.30
	        936.46 16554.0302    16553.9   4.0 1 1 0.30
	        960.28 16502.5546    16502.3   4.0 1 1 0.75
	        988.14 16442.3207    16442.1   4.0 1 1 
	       1013.03 16388.5037    16388.5   4.0 1 1 0.25
	       1030.26 16351.2152    16351.3   4.0 1 1 0.65
	       1046.02 16317.1178    16317.2   4.0 1 1 0.28
	       1083.87 16235.1873    16235.4   4.0 1 1 1.27
	       1102.63 16194.5688    16194.7   4.0 1 1 0.63
	       1133.02 16128.7388    16128.6   4.0 1 1 1.71
	       1155.73  16079.545    16079.8   4.0 1 1 0.65
	       1178.16  16030.919    16030.8   4.0 1 1 1.53
	       1205.07  15972.592    15972.6   4.0 1 1 0.50
	       1262.48  15848.089    15848.1   4.0 1 1 0.90
	       1269.39 15833.0858    15833.2   4.0 1 1 2.30
	       1351.28 15655.3623     15655.   4.0 1 1 1.05
	       1362.35 15631.3297    15631.6   4.0 1 1 0.35
	       1377.87 15597.6172    15597.7   4.0 1 1 0.70
	       1404.06 15540.7295    15540.4   4.0 1 1 0.55
	       1454.02 15432.1943    15432.1   4.0 1 1 1.08
	       1471.00 15395.2974    15395.3   4.0 1 1 0.40
	       1499.95  15332.378    15332.4   4.0 1 1 1.15
	       1520.42 15287.8734    15287.8   4.0 1 1 0.58
	       1542.02 15240.8985     15241.   4.0 1 1 1.41
	       1566.76  15187.095     15187.   4.0 1 1 0.38
	       1621.16  15068.752    15068.9   4.0 1 1 0.66
	       1627.37 15055.2509    15055.5   4.0 1 1 1.95
	       1704.43 14887.5097    14887.7   4.0 1 1 0.78
	       1729.41 14833.1159     14833.   4.0 1 1 0.62
	       1791.22 14698.4889    14698.4   4.0 1 1 0.35
	       1834.23 14604.7693    14604.8   4.0 1 1 0.35
	       1852.92 14564.0355     14564.   4.0 1 1 0.35
	       1873.55 14519.0709     14519.   4.0 1 1 0.60
	       1947.92  14356.924    14356.7   4.0 1 1 
	       2026.36 14185.7987    14186.1   4.0 1 1 0.20
	       2036.80  14163.012    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.567190997266
		3093.734244049152
		2850.486821443682
		2604.256623591389
		2356.607870227657
		2107.891245680597

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,60]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,60]
	units	Angstroms
	features	52
	        208.03 18118.5548    18118.5   4.0 1 1 0.50
	        266.41 17993.9384     17994.   4.0 1 1 1.42
	        319.60 17880.2807    17880.3   4.0 1 1 1.20
	        416.97 17671.9073    17671.8   4.0 1 1 0.70
	        425.80 17652.9946    17653.2   4.0 1 1 2.00
	        520.41 17450.1119    17449.9   4.0 1 1 0.72
	        575.89 17330.9645    17330.9   4.0 1 1 0.32
	        614.23 17248.5709    17248.6   4.0 1 1 0.70
	        631.97 17210.4126    17210.4   4.0 1 1 0.36
	        672.36 17123.5331    17123.6   4.0 1 1 1.20
	        693.43 17078.1773    17078.3   4.0 1 1 0.70
	        725.62 17008.8617    17008.8   4.0 1 1 1.80
	        750.57 16955.0966    16955.1   4.0 1 1 0.52
	        774.54  16903.445    16903.7   4.0 1 1 1.45
	        803.75 16840.4646    16840.5   4.0 1 1 0.30
	        864.74 16708.8804    16708.8   4.0 1 1 0.83
	        872.52 16692.0892    16692.1   4.0 1 1 2.30
	        936.37 16554.1767    16553.9   4.0 1 1 0.30
	        960.21 16502.6596    16502.3   4.0 1 1 0.75
	        988.10 16442.3572    16442.1   4.0 1 1 
	       1013.00 16388.5069    16388.5   4.0 1 1 0.25
	       1030.27 16351.1632    16351.3   4.0 1 1 0.65
	       1046.06 16316.9876    16317.2   4.0 1 1 0.28
	       1083.84 16235.2138    16235.4   4.0 1 1 1.27
	       1102.63 16194.5417    16194.7   4.0 1 1 0.63
	       1133.01 16128.7374    16128.6   4.0 1 1 1.71
	       1155.71 16079.5564    16079.8   4.0 1 1 0.65
	       1178.24 16030.7486    16030.8   4.0 1 1 1.53
	       1205.05 15972.6193    15972.6   4.0 1 1 0.50
	       1262.52 15848.0047    15848.1   4.0 1 1 0.90
	       1269.42 15833.0416    15833.2   4.0 1 1 2.30
	       1351.34  15655.243     15655.   4.0 1 1 1.05
	       1362.33 15631.3864    15631.6   4.0 1 1 0.35
	       1377.90  15597.577    15597.7   4.0 1 1 0.70
	       1403.91 15541.0806    15540.4   4.0 1 1 0.55
	       1454.03 15432.1895    15432.1   4.0 1 1 1.08
	       1471.06 15395.1833    15395.3   4.0 1 1 0.40
	       1499.94 15332.4063    15332.4   4.0 1 1 1.15
	       1520.47 15287.7711    15287.8   4.0 1 1 0.58
	       1542.06 15240.8171     15241.   4.0 1 1 1.41
	       1566.65 15187.3345     15187.   4.0 1 1 0.38
	       1621.05 15068.9708    15068.9   4.0 1 1 0.66
	       1627.37 15055.2216    15055.5   4.0 1 1 1.95
	       1704.42   14887.51    14887.7   4.0 1 1 0.78
	       1729.47 14832.9606     14833.   4.0 1 1 0.62
	       1791.19 14698.5261    14698.4   4.0 1 1 0.35
	       1834.24 14604.7147    14604.8   4.0 1 1 0.35
	       1852.87 14564.1176     14564.   4.0 1 1 0.35
	       1873.57  14518.994     14519.   4.0 1 1 0.60
	       1947.98 14356.7531    14356.7   4.0 1 1 
	       2026.35 14185.8085    14186.1   4.0 1 1 0.20
	       2036.74 14163.1361    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.295059560263
		3093.844629691542
		2850.445639310196
		2604.280128608386
		2356.569944229401
		2108.019070402455

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,61]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,61]
	units	Angstroms
	features	52
	        208.03 18118.5411    18118.5   4.0 1 1 0.50
	        266.39 17993.9054     17994.   4.0 1 1 1.42
	        319.54 17880.3108    17880.3   4.0 1 1 1.20
	        416.91 17671.9085    17671.8   4.0 1 1 0.70
	        425.66 17653.1585    17653.2   4.0 1 1 2.00
	        520.41 17450.0147    17449.9   4.0 1 1 0.72
	        575.83 17331.0267    17330.9   4.0 1 1 0.32
	        614.29 17248.3834    17248.6   4.0 1 1 0.70
	        631.97 17210.3736    17210.4   4.0 1 1 0.36
	        672.34 17123.5391    17123.6   4.0 1 1 1.20
	        693.34 17078.3298    17078.3   4.0 1 1 0.70
	        725.70 17008.6595    17008.8   4.0 1 1 1.80
	        750.66 16954.9029    16955.1   4.0 1 1 0.52
	        774.45 16903.6282    16903.7   4.0 1 1 1.45
	        803.67 16840.6488    16840.5   4.0 1 1 0.30
	        864.79 16708.7859    16708.8   4.0 1 1 0.83
	        872.51 16692.1231    16692.1   4.0 1 1 2.30
	        936.38 16554.1704    16553.9   4.0 1 1 0.30
	        960.25 16502.5879    16502.3   4.0 1 1 0.75
	        988.11 16442.3695    16442.1   4.0 1 1 
	       1012.92 16388.7201    16388.5   4.0 1 1 0.25
	       1030.29 16351.1439    16351.3   4.0 1 1 0.65
	       1046.02 16317.1089    16317.2   4.0 1 1 0.28
	       1083.86  16235.204    16235.4   4.0 1 1 1.27
	       1102.75  16194.309    16194.7   4.0 1 1 0.63
	       1133.10 16128.5779    16128.6   4.0 1 1 1.71
	       1155.66 16079.6881    16079.8   4.0 1 1 0.65
	       1178.19 16030.8683    16030.8   4.0 1 1 1.53
	       1205.09  15972.559    15972.6   4.0 1 1 0.50
	       1262.47 15848.1278    15848.1   4.0 1 1 0.90
	       1269.37  15833.143    15833.2   4.0 1 1 2.30
	       1351.36 15655.2098     15655.   4.0 1 1 1.05
	       1362.31 15631.4332    15631.6   4.0 1 1 0.35
	       1377.84 15597.6929    15597.7   4.0 1 1 0.70
	       1404.16 15540.5445    15540.4   4.0 1 1 0.55
	       1454.05 15432.1452    15432.1   4.0 1 1 1.08
	       1471.05 15395.1895    15395.3   4.0 1 1 0.40
	       1499.93 15332.4108    15332.4   4.0 1 1 1.15
	       1520.42  15287.866    15287.8   4.0 1 1 0.58
	       1541.97 15241.0019     15241.   4.0 1 1 1.41
	       1566.65 15187.3238     15187.   4.0 1 1 0.38
	       1621.13  15068.788    15068.9   4.0 1 1 0.66
	       1627.33 15055.3019    15055.5   4.0 1 1 1.95
	       1704.41 14887.5145    14887.7   4.0 1 1 0.78
	       1729.43 14833.0221     14833.   4.0 1 1 0.62
	       1791.17 14698.5539    14698.4   4.0 1 1 0.35
	       1834.20 14604.7849    14604.8   4.0 1 1 0.35
	       1852.90 14564.0261     14564.   4.0 1 1 0.35
	       1873.56 14518.9886     14519.   4.0 1 1 0.60
	       1947.99 14356.7161    14356.7   4.0 1 1 
	       2026.31 14185.8727    14186.1   4.0 1 1 0.20
	       2036.75 14163.0961    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.080543230192
		3093.754757231452
		2850.46145191289
		2604.276675082604
		2356.568358422417
		2108.001787731439

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,62]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,62]
	units	Angstroms
	features	52
	        207.97 18118.4882    18118.5   4.0 1 1 0.50
	        266.34 17993.9339     17994.   4.0 1 1 1.42
	        319.50 17880.3626    17880.3   4.0 1 1 1.20
	        416.86 17672.0238    17671.8   4.0 1 1 0.70
	        425.67  17653.152    17653.2   4.0 1 1 2.00
	        520.49 17449.8192    17449.9   4.0 1 1 0.72
	        575.87 17330.9099    17330.9   4.0 1 1 0.32
	        614.21 17248.5004    17248.6   4.0 1 1 0.70
	        631.93 17210.3931    17210.4   4.0 1 1 0.36
	        672.29 17123.5799    17123.6   4.0 1 1 1.20
	        693.40 17078.1338    17078.3   4.0 1 1 0.70
	        725.65 17008.6991    17008.8   4.0 1 1 1.80
	        750.53 16955.1046    16955.1   4.0 1 1 0.52
	        774.45 16903.5485    16903.7   4.0 1 1 1.45
	        803.60 16840.7006    16840.5   4.0 1 1 0.30
	        864.73 16708.8275    16708.8   4.0 1 1 0.83
	        872.38 16692.3099    16692.1   4.0 1 1 2.30
	        936.46  16553.932    16553.9   4.0 1 1 0.30
	        960.22  16502.579    16502.3   4.0 1 1 0.75
	        988.09 16442.3387    16442.1   4.0 1 1 
	       1012.91 16388.6657    16388.5   4.0 1 1 0.25
	       1030.31 16351.0335    16351.3   4.0 1 1 0.65
	       1045.98 16317.1438    16317.2   4.0 1 1 0.28
	       1083.82 16235.2471    16235.4   4.0 1 1 1.27
	       1102.58 16194.6209    16194.7   4.0 1 1 0.63
	       1133.10 16128.5367    16128.6   4.0 1 1 1.71
	       1155.68 16079.6129    16079.8   4.0 1 1 0.65
	       1178.22 16030.7816    16030.8   4.0 1 1 1.53
	       1205.07 15972.5826    15972.6   4.0 1 1 0.50
	       1262.50  15848.038    15848.1   4.0 1 1 0.90
	       1269.38 15833.1305    15833.2   4.0 1 1 2.30
	       1351.34 15655.2382     15655.   4.0 1 1 1.05
	       1362.35  15631.346    15631.6   4.0 1 1 0.35
	       1377.82 15597.7521    15597.7   4.0 1 1 0.70
	       1404.10 15540.6596    15540.4   4.0 1 1 0.55
	       1454.01 15432.2126    15432.1   4.0 1 1 1.08
	       1471.06 15395.1708    15395.3   4.0 1 1 0.40
	       1499.91 15332.4559    15332.4   4.0 1 1 1.15
	       1520.38 15287.9371    15287.8   4.0 1 1 0.58
	       1542.06  15240.782     15241.   4.0 1 1 1.41
	       1566.65 15187.3143     15187.   4.0 1 1 0.38
	       1621.14 15068.7354    15068.9   4.0 1 1 0.66
	       1627.28 15055.3754    15055.5   4.0 1 1 1.95
	       1704.38 14887.5416    14887.7   4.0 1 1 0.78
	       1729.43 14832.9848     14833.   4.0 1 1 0.62
	       1791.12 14698.6062    14698.4   4.0 1 1 0.35
	       1834.18 14604.7799    14604.8   4.0 1 1 0.35
	       1852.87 14564.0323     14564.   4.0 1 1 0.35
	       1873.56 14518.9358     14519.   4.0 1 1 0.60
	       1947.95 14356.7515    14356.7   4.0 1 1 
	       2026.31 14185.8725    14186.1   4.0 1 1 0.20
	       2036.75  14163.086    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.997667715443
		3093.838247462386
		2850.417715469288
		2604.298755062737
		2356.526238386993
		2108.148803875715

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,63]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,63]
	units	Angstroms
	features	52
	        208.04 18118.4543    18118.5   4.0 1 1 0.50
	        266.31 17994.0243     17994.   4.0 1 1 1.42
	        319.50 17880.3337    17880.3   4.0 1 1 1.20
	        416.91 17671.8569    17671.8   4.0 1 1 0.70
	        425.61 17653.2179    17653.2   4.0 1 1 2.00
	        520.43 17449.9254    17449.9   4.0 1 1 0.72
	        575.87 17330.8836    17330.9   4.0 1 1 0.32
	        614.16 17248.6245    17248.6   4.0 1 1 0.70
	        631.80 17210.6982    17210.4   4.0 1 1 0.36
	        672.28 17123.6264    17123.6   4.0 1 1 1.20
	        693.74 17077.4504    17078.3   4.0 1 1 0.70
	        725.62 17008.8041    17008.8   4.0 1 1 1.80
	        750.56  16955.083    16955.1   4.0 1 1 0.52
	        774.41  16903.688    16903.7   4.0 1 1 1.45
	        803.71 16840.5187    16840.5   4.0 1 1 0.30
	        864.78 16708.7758    16708.8   4.0 1 1 0.83
	        872.35 16692.4206    16692.1   4.0 1 1 2.30
	        936.51 16553.8683    16553.9   4.0 1 1 0.30
	        960.35 16502.3324    16502.3   4.0 1 1 0.75
	        988.03 16442.5115    16442.1   4.0 1 1 
	       1012.96 16388.5955    16388.5   4.0 1 1 0.25
	       1030.28 16351.1245    16351.3   4.0 1 1 0.65
	       1045.97 16317.1686    16317.2   4.0 1 1 0.28
	       1083.77  16235.349    16235.4   4.0 1 1 1.27
	       1102.54 16194.7081    16194.7   4.0 1 1 0.63
	       1133.12 16128.4855    16128.6   4.0 1 1 1.71
	       1155.62 16079.7412    16079.8   4.0 1 1 0.65
	       1178.15 16030.9174    16030.8   4.0 1 1 1.53
	       1204.99 15972.7288    15972.6   4.0 1 1 0.50
	       1262.53 15847.9437    15848.1   4.0 1 1 0.90
	       1269.34  15833.162    15833.2   4.0 1 1 2.30
	       1351.37 15655.1241     15655.   4.0 1 1 1.05
	       1362.32 15631.3514    15631.6   4.0 1 1 0.35
	       1377.82 15597.6764    15597.7   4.0 1 1 0.70
	       1404.07 15540.6741    15540.4   4.0 1 1 0.55
	       1454.00 15432.1756    15432.1   4.0 1 1 1.08
	       1471.02 15395.1843    15395.3   4.0 1 1 0.40
	       1499.96 15332.2724    15332.4   4.0 1 1 1.15
	       1520.40 15287.8331    15287.8   4.0 1 1 0.58
	       1541.97 15240.9392     15241.   4.0 1 1 1.41
	       1566.67 15187.2187     15187.   4.0 1 1 0.38
	       1621.05 15068.8928    15068.9   4.0 1 1 0.66
	       1627.30 15055.2902    15055.5   4.0 1 1 1.95
	       1704.38 14887.5044    14887.7   4.0 1 1 0.78
	       1729.47 14832.8771     14833.   4.0 1 1 0.62
	       1791.11 14698.6141    14698.4   4.0 1 1 0.35
	       1834.15 14604.8545    14604.8   4.0 1 1 0.35
	       1852.85 14564.1031     14564.   4.0 1 1 0.35
	       1873.56 14518.9568     14519.   4.0 1 1 0.60
	       1947.89 14356.9323    14356.7   4.0 1 1 
	       2026.28 14185.9788    14186.1   4.0 1 1 0.20
	       2036.90 14162.8237    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.099708389805
		3093.736562424486
		2850.459253721017
		2604.267558923811
		2356.548005394395
		2108.154753941955

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,64]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,64]
	units	Angstroms
	features	52
	        208.00 18118.5573    18118.5   4.0 1 1 0.50
	        266.34  17993.953     17994.   4.0 1 1 1.42
	        319.53 17880.2656    17880.3   4.0 1 1 1.20
	        416.91 17671.8312    17671.8   4.0 1 1 0.70
	        425.65 17653.1038    17653.2   4.0 1 1 2.00
	        520.44 17449.8636    17449.9   4.0 1 1 0.72
	        575.80  17331.001    17330.9   4.0 1 1 0.32
	        614.20 17248.4732    17248.6   4.0 1 1 0.70
	        631.79 17210.6625    17210.4   4.0 1 1 0.36
	        672.29 17123.5538    17123.6   4.0 1 1 1.20
	        693.28 17078.3759    17078.3   4.0 1 1 0.70
	        725.67  17008.653    17008.8   4.0 1 1 1.80
	        750.54 16955.0832    16955.1   4.0 1 1 0.52
	        774.42 16903.6143    16903.7   4.0 1 1 1.45
	        803.62 16840.6695    16840.5   4.0 1 1 0.30
	        864.75 16708.7662    16708.8   4.0 1 1 0.83
	        872.45 16692.1641    16692.1   4.0 1 1 2.30
	        936.48 16553.8581    16553.9   4.0 1 1 0.30
	        960.28 16502.4343    16502.3   4.0 1 1 0.75
	        987.99 16442.5159    16442.1   4.0 1 1 
	       1012.94 16388.5614    16388.5   4.0 1 1 0.25
	       1030.28 16351.0658    16351.3   4.0 1 1 0.65
	       1046.03 16316.9765    16317.2   4.0 1 1 0.28
	       1083.70 16235.4433    16235.4   4.0 1 1 1.27
	       1102.64 16194.4442    16194.7   4.0 1 1 0.63
	       1133.10 16128.4515    16128.6   4.0 1 1 1.71
	       1155.58  16079.747    16079.8   4.0 1 1 0.65
	       1178.22 16030.6983    16030.8   4.0 1 1 1.53
	       1205.07 15972.4854    15972.6   4.0 1 1 0.50
	       1262.44 15848.0672    15848.1   4.0 1 1 0.90
	       1269.32  15833.147    15833.2   4.0 1 1 2.30
	       1351.27 15655.2908     15655.   4.0 1 1 1.05
	       1362.27 15631.4114    15631.6   4.0 1 1 0.35
	       1377.75 15597.7951    15597.7   4.0 1 1 0.70
	       1403.88 15541.0565    15540.4   4.0 1 1 0.55
	       1454.02 15432.1115    15432.1   4.0 1 1 1.08
	       1470.98 15395.2497    15395.3   4.0 1 1 0.40
	       1499.97 15332.2357    15332.4   4.0 1 1 1.15
	       1520.36 15287.9086    15287.8   4.0 1 1 0.58
	       1541.96 15240.9483     15241.   4.0 1 1 1.41
	       1566.68 15187.1834     15187.   4.0 1 1 0.38
	       1621.09  15068.813    15068.9   4.0 1 1 0.66
	       1627.31  15055.287    15055.5   4.0 1 1 1.95
	       1704.37 14887.5549    14887.7   4.0 1 1 0.78
	       1729.51  14832.822     14833.   4.0 1 1 0.62
	       1791.14 14698.5608    14698.4   4.0 1 1 0.35
	       1834.18  14604.782    14604.8   4.0 1 1 0.35
	       1852.88 14564.0385     14564.   4.0 1 1 0.35
	       1873.54 14518.9976     14519.   4.0 1 1 0.60
	       1947.89 14356.8885    14356.7   4.0 1 1 
	       2026.30 14185.8491    14186.1   4.0 1 1 0.20
	       2036.76 14163.0282    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.269880818469
		3093.729598278771
		2850.453099686464
		2604.250366766171
		2356.582240195495
		2107.913941132737

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,65]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,65]
	units	Angstroms
	features	52
	        207.93 18118.6069    18118.5   4.0 1 1 0.50
	        266.42  17993.767     17994.   4.0 1 1 1.42
	        319.49 17880.3587    17880.3   4.0 1 1 1.20
	        416.82 17672.0781    17671.8   4.0 1 1 0.70
	        425.71 17653.0284    17653.2   4.0 1 1 2.00
	        520.41 17449.9605    17449.9   4.0 1 1 0.72
	        575.83 17330.9486    17330.9   4.0 1 1 0.32
	        614.26 17248.3679    17248.6   4.0 1 1 0.70
	        631.96 17210.3112    17210.4   4.0 1 1 0.36
	        672.22 17123.6963    17123.6   4.0 1 1 1.20
	        693.34 17078.2335    17078.3   4.0 1 1 0.70
	        725.66 17008.6565    17008.8   4.0 1 1 1.80
	        750.50 16955.1274    16955.1   4.0 1 1 0.52
	        774.30 16903.8499    16903.7   4.0 1 1 1.45
	        803.64 16840.5784    16840.5   4.0 1 1 0.30
	        864.68 16708.8965    16708.8   4.0 1 1 0.83
	        872.40 16692.2161    16692.1   4.0 1 1 2.30
	        936.44 16553.9141    16553.9   4.0 1 1 0.30
	        960.30 16502.3505    16502.3   4.0 1 1 0.75
	        988.04 16442.3898    16442.1   4.0 1 1 
	       1012.88 16388.6619    16388.5   4.0 1 1 0.25
	       1030.19 16351.2196    16351.3   4.0 1 1 0.65
	       1046.13 16316.7306    16317.2   4.0 1 1 0.28
	       1083.74 16235.3328    16235.4   4.0 1 1 1.27
	       1102.55 16194.5931    16194.7   4.0 1 1 0.63
	       1133.08 16128.4807    16128.6   4.0 1 1 1.71
	       1155.58 16079.7389    16079.8   4.0 1 1 0.65
	       1178.19 16030.7407    16030.8   4.0 1 1 1.53
	       1205.04  15972.549    15972.6   4.0 1 1 0.50
	       1262.46 15848.0209    15848.1   4.0 1 1 0.90
	       1269.30 15833.1716    15833.2   4.0 1 1 2.30
	       1351.33 15655.1536     15655.   4.0 1 1 1.05
	       1362.12 15631.7181    15631.6   4.0 1 1 0.35
	       1377.79 15597.6853    15597.7   4.0 1 1 0.70
	       1403.98 15540.7962    15540.4   4.0 1 1 0.55
	       1454.02 15432.0766    15432.1   4.0 1 1 1.08
	       1470.94 15395.3108    15395.3   4.0 1 1 0.40
	       1499.89 15332.3791    15332.4   4.0 1 1 1.15
	       1520.41 15287.7678    15287.8   4.0 1 1 0.58
	       1541.94 15240.9497     15241.   4.0 1 1 1.41
	       1566.61 15187.2754     15187.   4.0 1 1 0.38
	       1621.06  15068.822    15068.9   4.0 1 1 0.66
	       1627.32 15055.1977    15055.5   4.0 1 1 1.95
	       1704.37 14887.4861    14887.7   4.0 1 1 0.78
	       1729.38  14833.032     14833.   4.0 1 1 0.62
	       1791.13 14698.5239    14698.4   4.0 1 1 0.35
	       1834.17 14604.7515    14604.8   4.0 1 1 0.35
	       1852.86 14564.0326     14564.   4.0 1 1 0.35
	       1873.52 14519.0212     14519.   4.0 1 1 0.60
	       1947.91 14356.8539    14356.7   4.0 1 1 
	       2026.34 14185.8523    14186.1   4.0 1 1 0.20
	       2036.80 14163.0377    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.328852060575
		3093.805330047079
		2850.42832483352
		2604.263328733224
		2356.532918768192
		2108.211530114908

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,66]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,66]
	units	Angstroms
	features	52
	        207.97  18118.486    18118.5   4.0 1 1 0.50
	        266.37 17993.8939     17994.   4.0 1 1 1.42
	        319.47 17880.4471    17880.3   4.0 1 1 1.20
	        416.90 17671.9271    17671.8   4.0 1 1 0.70
	        425.66 17653.1582    17653.2   4.0 1 1 2.00
	        520.38 17450.0136    17449.9   4.0 1 1 0.72
	        575.85 17330.8763    17330.9   4.0 1 1 0.32
	        614.17 17248.4956    17248.6   4.0 1 1 0.70
	        631.93 17210.3119    17210.4   4.0 1 1 0.36
	        672.26 17123.5329    17123.6   4.0 1 1 1.20
	        693.35 17078.1244    17078.3   4.0 1 1 0.70
	        725.63  17008.618    17008.8   4.0 1 1 1.80
	        750.45 16955.1352    16955.1   4.0 1 1 0.52
	        774.29 16903.7637    16903.7   4.0 1 1 1.45
	        803.60 16840.5595    16840.5   4.0 1 1 0.30
	        864.68 16708.7894    16708.8   4.0 1 1 0.83
	        872.37 16692.1868    16692.1   4.0 1 1 2.30
	        936.39 16553.9309    16553.9   4.0 1 1 0.30
	        960.27 16502.3161    16502.3   4.0 1 1 0.75
	        988.00 16442.3864    16442.1   4.0 1 1 
	       1012.81 16388.7441    16388.5   4.0 1 1 0.25
	       1030.06 16351.4189    16351.3   4.0 1 1 0.65
	       1045.92 16317.1217    16317.2   4.0 1 1 0.28
	       1083.74 16235.2735    16235.4   4.0 1 1 1.27
	       1102.55 16194.5583    16194.7   4.0 1 1 0.63
	       1133.05 16128.4973    16128.6   4.0 1 1 1.71
	       1155.53  16079.816    16079.8   4.0 1 1 0.65
	       1178.10 16030.9191    16030.8   4.0 1 1 1.53
	       1205.09 15972.4171    15972.6   4.0 1 1 0.50
	       1262.46 15848.0245    15848.1   4.0 1 1 0.90
	       1269.29 15833.2041    15833.2   4.0 1 1 2.30
	       1351.28 15655.2773     15655.   4.0 1 1 1.05
	       1362.30   15631.35    15631.6   4.0 1 1 0.35
	       1377.83  15597.616    15597.7   4.0 1 1 0.70
	       1404.14 15540.4879    15540.4   4.0 1 1 0.55
	       1454.06 15432.0306    15432.1   4.0 1 1 1.08
	       1470.97 15395.2648    15395.3   4.0 1 1 0.40
	       1499.91 15332.3653    15332.4   4.0 1 1 1.15
	       1520.37  15287.871    15287.8   4.0 1 1 0.58
	       1541.89 15241.0711     15241.   4.0 1 1 1.41
	       1566.59 15187.3549     15187.   4.0 1 1 0.38
	       1621.03 15068.8991    15068.9   4.0 1 1 0.66
	       1627.33 15055.2051    15055.5   4.0 1 1 1.95
	       1704.41 14887.4019    14887.7   4.0 1 1 0.78
	       1729.39 14833.0016     14833.   4.0 1 1 0.62
	       1791.13 14698.5095    14698.4   4.0 1 1 0.35
	       1834.12 14604.8245    14604.8   4.0 1 1 0.35
	       1852.74 14564.2445     14564.   4.0 1 1 0.35
	       1873.52 14518.9561     14519.   4.0 1 1 0.60
	       1947.94 14356.6948    14356.7   4.0 1 1 
	       2026.26 14185.8724    14186.1   4.0 1 1 0.20
	       2036.73 14163.0543    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.497089861705
		3093.90930573236
		2850.374164519528
		2604.286973419235
		2356.516655989508
		2108.104434698264

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,67]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,67]
	units	Angstroms
	features	52
	        207.97 18118.5643    18118.5   4.0 1 1 0.50
	        266.37 17993.8459     17994.   4.0 1 1 1.42
	        319.47 17880.3339    17880.3   4.0 1 1 1.20
	        416.82 17671.9617    17671.8   4.0 1 1 0.70
	        425.59 17653.1725    17653.2   4.0 1 1 2.00
	        520.38 17449.9169    17449.9   4.0 1 1 0.72
	        575.82 17330.8764    17330.9   4.0 1 1 0.32
	        614.11 17248.5798    17248.6   4.0 1 1 0.70
	        631.86 17210.4166    17210.4   4.0 1 1 0.36
	        672.27 17123.4973    17123.6   4.0 1 1 1.20
	        693.29 17078.2653    17078.3   4.0 1 1 0.70
	        725.58 17008.7339    17008.8   4.0 1 1 1.80
	        750.56 16954.9406    16955.1   4.0 1 1 0.52
	        774.33 16903.7106    16903.7   4.0 1 1 1.45
	        803.65 16840.4927    16840.5   4.0 1 1 0.30
	        864.64 16708.9163    16708.8   4.0 1 1 0.83
	        872.34  16692.308    16692.1   4.0 1 1 2.30
	        936.42 16553.9211    16553.9   4.0 1 1 0.30
	        960.29  16502.337    16502.3   4.0 1 1 0.75
	        987.94 16442.5734    16442.1   4.0 1 1 
	       1013.01 16388.3594    16388.5   4.0 1 1 0.25
	       1030.14 16351.3021    16351.3   4.0 1 1 0.65
	       1045.94 16317.1307    16317.2   4.0 1 1 0.28
	       1083.76 16235.2701    16235.4   4.0 1 1 1.27
	       1102.52 16194.6543    16194.7   4.0 1 1 0.63
	       1133.13 16128.3643    16128.6   4.0 1 1 1.71
	       1155.61 16079.6673    16079.8   4.0 1 1 0.65
	       1178.15 16030.8093    16030.8   4.0 1 1 1.53
	       1205.06 15972.4896    15972.6   4.0 1 1 0.50
	       1262.40 15848.1501    15848.1   4.0 1 1 0.90
	       1269.33 15833.1023    15833.2   4.0 1 1 2.30
	       1351.26 15655.3004     15655.   4.0 1 1 1.05
	       1362.19 15631.5501    15631.6   4.0 1 1 0.35
	       1377.80 15597.6592    15597.7   4.0 1 1 0.70
	       1403.94 15540.8786    15540.4   4.0 1 1 0.55
	       1454.04 15432.0276    15432.1   4.0 1 1 1.08
	       1470.96 15395.2404    15395.3   4.0 1 1 0.40
	       1499.85  15332.453    15332.4   4.0 1 1 1.15
	       1520.40 15287.7679    15287.8   4.0 1 1 0.58
	       1541.96 15240.8704     15241.   4.0 1 1 1.41
	       1566.60 15187.2791     15187.   4.0 1 1 0.38
	       1621.09 15068.7213    15068.9   4.0 1 1 0.66
	       1627.32 15055.1616    15055.5   4.0 1 1 1.95
	       1704.35 14887.4763    14887.7   4.0 1 1 0.78
	       1729.39 14832.9485     14833.   4.0 1 1 0.62
	       1791.03 14698.6799    14698.4   4.0 1 1 0.35
	       1834.08 14604.8746    14604.8   4.0 1 1 0.35
	       1852.76 14564.1601     14564.   4.0 1 1 0.35
	       1873.51 14518.9323     14519.   4.0 1 1 0.60
	       1947.87 14356.8079    14356.7   4.0 1 1 
	       2026.31 14185.7577    14186.1   4.0 1 1 0.20
	       2036.70 14163.0896    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.964281218437
		3093.764007861925
		2850.414202266604
		2604.271514396921
		2356.509143500854
		2108.126662922031

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,68]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,68]
	units	Angstroms
	features	52
	        207.91 18118.5547    18118.5   4.0 1 1 0.50
	        266.32 17993.8979     17994.   4.0 1 1 1.42
	        319.49 17880.2918    17880.3   4.0 1 1 1.20
	        416.89 17671.8806    17671.8   4.0 1 1 0.70
	        425.61 17653.1882    17653.2   4.0 1 1 2.00
	        520.35 17450.0521    17449.9   4.0 1 1 0.72
	        575.87 17330.8486    17330.9   4.0 1 1 0.32
	        614.12   17248.64    17248.6   4.0 1 1 0.70
	        631.94 17210.3166    17210.4   4.0 1 1 0.36
	        672.28 17123.5365    17123.6   4.0 1 1 1.20
	        693.31 17078.2755    17078.3   4.0 1 1 0.70
	        725.62 17008.7114    17008.8   4.0 1 1 1.80
	        750.58 16954.9337    16955.1   4.0 1 1 0.52
	        774.39  16903.628    16903.7   4.0 1 1 1.45
	        803.64 16840.5546    16840.5   4.0 1 1 0.30
	        864.68 16708.8619    16708.8   4.0 1 1 0.83
	        872.38 16692.2489    16692.1   4.0 1 1 2.30
	        936.44 16553.8874    16553.9   4.0 1 1 0.30
	        960.24 16502.4577    16502.3   4.0 1 1 0.75
	        988.00 16442.4361    16442.1   4.0 1 1 
	       1012.88 16388.6284    16388.5   4.0 1 1 0.25
	       1030.19 16351.1828    16351.3   4.0 1 1 0.65
	       1045.97 16317.0513    16317.2   4.0 1 1 0.28
	       1083.64 16235.5071    16235.4   4.0 1 1 1.27
	       1102.55  16194.563    16194.7   4.0 1 1 0.63
	       1133.06 16128.4961    16128.6   4.0 1 1 1.71
	       1155.54 16079.7804    16079.8   4.0 1 1 0.65
	       1178.23 16030.6175    16030.8   4.0 1 1 1.53
	       1205.04 15972.4933    15972.6   4.0 1 1 0.50
	       1262.42 15848.0643    15848.1   4.0 1 1 0.90
	       1269.32 15833.0818    15833.2   4.0 1 1 2.30
	       1351.22 15655.3482     15655.   4.0 1 1 1.05
	       1362.22 15631.4494    15631.6   4.0 1 1 0.35
	       1377.79 15597.6312    15597.7   4.0 1 1 0.70
	       1404.00 15540.7116    15540.4   4.0 1 1 0.55
	       1453.93 15432.2311    15432.1   4.0 1 1 1.08
	       1470.97 15395.2031    15395.3   4.0 1 1 0.40
	       1499.82 15332.4717    15332.4   4.0 1 1 1.15
	       1520.44 15287.6436    15287.8   4.0 1 1 0.58
	       1541.84 15241.1062     15241.   4.0 1 1 1.41
	       1566.66 15187.1246     15187.   4.0 1 1 0.38
	       1621.02 15068.8597    15068.9   4.0 1 1 0.66
	       1627.26 15055.2802    15055.5   4.0 1 1 1.95
	       1704.37 14887.4124    14887.7   4.0 1 1 0.78
	       1729.40 14832.8986     14833.   4.0 1 1 0.62
	       1791.02 14698.6853    14698.4   4.0 1 1 0.35
	       1834.10 14604.8101    14604.8   4.0 1 1 0.35
	       1852.72 14564.2228     14564.   4.0 1 1 0.35
	       1873.53 14518.8691     14519.   4.0 1 1 0.60
	       1947.87 14356.7785    14356.7   4.0 1 1 
	       2026.27  14185.785    14186.1   4.0 1 1 0.20
	       2036.66 14163.1092    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.220858985855
		3093.789388953802
		2850.42834320762
		2604.253272465935
		2356.527738497993
		2108.013917705968

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,69]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,69]
	units	Angstroms
	features	50
	        207.94 18118.4939    18118.5   4.0 1 1 0.50
	        266.27 17993.9522     17994.   4.0 1 1 1.42
	        319.39 17880.4005    17880.3   4.0 1 1 1.20
	        416.84 17671.8475    17671.8   4.0 1 1 0.70
	        425.58 17653.1115    17653.2   4.0 1 1 2.00
	        520.34   17449.92    17449.9   4.0 1 1 0.72
	        575.83 17330.7714    17330.9   4.0 1 1 0.32
	        614.14 17248.4512    17248.6   4.0 1 1 0.70
	        631.78 17210.5355    17210.4   4.0 1 1 0.36
	        672.15 17123.6929    17123.6   4.0 1 1 1.20
	        693.21 17078.3754    17078.3   4.0 1 1 0.70
	        725.55 17008.7348    17008.8   4.0 1 1 1.80
	        750.45 16955.1126    16955.1   4.0 1 1 0.52
	        774.33 16903.6464    16903.7   4.0 1 1 1.45
	        864.70 16708.7189    16708.8   4.0 1 1 0.30
	        872.30 16692.3214    16692.1   4.0 1 1 0.83
	        936.44 16553.8045    16553.9   4.0 1 1 2.30
	        960.16 16502.5569    16502.3   4.0 1 1 0.30
	        988.04 16442.2772    16442.1   4.0 1 1 0.75
	       1030.08 16351.3633    16351.3   4.0 1 1 
	       1045.92 16317.0977    16317.2   4.0 1 1 0.25
	       1083.65 16235.4323    16235.4   4.0 1 1 0.65
	       1102.73 16194.1229    16194.7   4.0 1 1 0.28
	       1133.04 16128.4798    16128.6   4.0 1 1 1.27
	       1155.50   16079.83    16079.8   4.0 1 1 0.63
	       1178.17  16030.698    16030.8   4.0 1 1 1.71
	       1204.93 15972.6902    15972.6   4.0 1 1 0.65
	       1262.43 15847.9991    15848.1   4.0 1 1 1.53
	       1269.30 15833.1054    15833.2   4.0 1 1 0.50
	       1351.15 15655.4593     15655.   4.0 1 1 0.90
	       1362.15 15631.5612    15631.6   4.0 1 1 2.30
	       1377.76 15597.6701    15597.7   4.0 1 1 1.05
	       1403.99 15540.7071    15540.4   4.0 1 1 0.35
	       1453.90 15432.2505    15432.1   4.0 1 1 0.70
	       1470.94 15395.2192    15395.3   4.0 1 1 0.55
	       1499.85 15332.3699    15332.4   4.0 1 1 1.08
	       1520.44 15287.6099    15287.8   4.0 1 1 0.40
	       1541.87 15241.0015     15241.   4.0 1 1 1.15
	       1566.62 15187.1668     15187.   4.0 1 1 0.58
	       1620.97 15068.9104    15068.9   4.0 1 1 1.41
	       1627.21 15055.3431    15055.5   4.0 1 1 0.38
	       1704.37 14887.3828    14887.7   4.0 1 1 0.66
	       1729.39 14832.8798     14833.   4.0 1 1 1.95
	       1791.07 14698.5497    14698.4   4.0 1 1 0.78
	       1834.06 14604.8873    14604.8   4.0 1 1 0.62
	       1852.76 14564.1185     14564.   4.0 1 1 0.35
	       1873.49 14518.9472     14519.   4.0 1 1 0.35
	       1947.84 14356.8782    14356.7   4.0 1 1 0.35
	       2026.32 14185.7507    14186.1   4.0 1 1 0.60
	       2036.71 14163.0934    14162.9   4.0 1 1 
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.832614042284
		3093.744668791226
		2850.406082786951
		2604.256717991153
		2356.502193774731
		2108.210846980702

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,70]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,70]
	units	Angstroms
	features	52
	        207.92  18118.527    18118.5   4.0 1 1 0.50
	        266.29 17993.9386     17994.   4.0 1 1 1.42
	        319.46  17880.322    17880.3   4.0 1 1 1.20
	        416.81 17671.9771    17671.8   4.0 1 1 0.70
	        425.66  17653.023    17653.2   4.0 1 1 2.00
	        520.38 17449.8927    17449.9   4.0 1 1 0.72
	        575.72  17331.035    17330.9   4.0 1 1 0.32
	        614.07 17248.6083    17248.6   4.0 1 1 0.70
	        631.75 17210.5957    17210.4   4.0 1 1 0.36
	        672.22 17123.5343    17123.6   4.0 1 1 1.20
	        693.27 17078.2288    17078.3   4.0 1 1 0.70
	        725.55 17008.7123    17008.8   4.0 1 1 1.80
	        750.53 16954.8885    16955.1   4.0 1 1 0.52
	        774.35 16903.5571    16903.7   4.0 1 1 1.45
	        803.72 16840.2264    16840.5   4.0 1 1 0.30
	        864.57 16708.9393    16708.8   4.0 1 1 0.83
	        872.37 16692.0991    16692.1   4.0 1 1 2.30
	        936.25 16554.1361    16553.9   4.0 1 1 0.30
	        960.25 16502.2744    16502.3   4.0 1 1 0.75
	        987.94 16442.4154    16442.1   4.0 1 1 
	       1012.72  16388.811    16388.5   4.0 1 1 0.25
	       1030.07 16351.2788    16351.3   4.0 1 1 0.65
	       1045.89 16317.0679    16317.2   4.0 1 1 0.28
	       1083.68 16235.2684    16235.4   4.0 1 1 1.27
	       1102.19  16195.186    16194.7   4.0 1 1 0.63
	       1133.02 16128.4271    16128.6   4.0 1 1 1.71
	       1155.51 16079.7106    16079.8   4.0 1 1 0.65
	       1178.08 16030.7858    16030.8   4.0 1 1 1.53
	       1205.07 15972.2985    15972.6   4.0 1 1 0.50
	       1262.46 15847.8328    15848.1   4.0 1 1 0.90
	       1269.33  15832.932    15833.2   4.0 1 1 2.30
	       1351.23 15655.2032     15655.   4.0 1 1 1.05
	       1362.20 15631.3797    15631.6   4.0 1 1 0.35
	       1377.75 15597.6047    15597.7   4.0 1 1 0.70
	       1403.73  15541.174    15540.4   4.0 1 1 0.55
	       1453.89 15432.2089    15432.1   4.0 1 1 1.08
	       1470.85 15395.3393    15395.3   4.0 1 1 0.40
	       1499.81 15332.3923    15332.4   4.0 1 1 1.15
	       1520.39 15287.6389    15287.8   4.0 1 1 0.58
	       1541.84 15241.0158     15241.   4.0 1 1 1.41
	       1566.61 15187.1266     15187.   4.0 1 1 0.38
	       1620.95 15068.9166    15068.9   4.0 1 1 0.66
	       1627.26 15055.1713    15055.5   4.0 1 1 1.95
	       1704.34 14887.3956    14887.7   4.0 1 1 0.78
	       1729.35 14832.9363     14833.   4.0 1 1 0.62
	       1791.04 14698.5833    14698.4   4.0 1 1 0.35
	       1834.04   14604.88    14604.8   4.0 1 1 0.35
	       1852.74 14564.1262     14564.   4.0 1 1 0.35
	       1873.49 14518.9096     14519.   4.0 1 1 0.60
	       1947.76 14356.9911    14356.7   4.0 1 1 
	       2026.29 14185.7478    14186.1   4.0 1 1 0.20
	       2036.70 14163.0287    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.162127319003
		3093.817825199638
		2850.389644758175
		2604.23516956574
		2356.516521807513
		2108.082962354443

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,71]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,71]
	units	Angstroms
	features	52
	        207.93 18118.4254    18118.5   4.0 1 1 0.50
	        266.24 17994.0206     17994.   4.0 1 1 1.42
	        319.44 17880.3582    17880.3   4.0 1 1 1.20
	        416.81 17671.9589    17671.8   4.0 1 1 0.70
	        425.55 17653.2333    17653.2   4.0 1 1 2.00
	        520.34 17449.9199    17449.9   4.0 1 1 0.72
	        575.70 17331.0185    17330.9   4.0 1 1 0.32
	        614.18 17248.2958    17248.6   4.0 1 1 0.70
	        631.77 17210.4696    17210.4   4.0 1 1 0.36
	        672.22  17123.443    17123.6   4.0 1 1 1.20
	        693.28 17078.1171    17078.3   4.0 1 1 0.70
	        725.59 17008.5367    17008.8   4.0 1 1 1.80
	        750.46 16954.9642    16955.1   4.0 1 1 0.52
	        774.32 16903.5437    16903.7   4.0 1 1 1.45
	        803.57 16840.5055    16840.5   4.0 1 1 0.30
	        864.50 16709.0689    16708.8   4.0 1 1 0.83
	        872.26 16692.3204    16692.1   4.0 1 1 2.30
	        936.29 16554.0918    16553.9   4.0 1 1 0.30
	        959.99 16502.8939    16502.3   4.0 1 1 0.75
	        988.01 16442.3442    16442.1   4.0 1 1 
	       1012.86 16388.6071    16388.5   4.0 1 1 0.25
	       1030.17 16351.1914    16351.3   4.0 1 1 0.65
	       1045.83 16317.3152    16317.2   4.0 1 1 0.28
	       1083.76 16235.2558    16235.4   4.0 1 1 1.27
	       1102.49 16194.7198    16194.7   4.0 1 1 0.63
	       1133.01 16128.6251    16128.6   4.0 1 1 1.71
	       1155.52 16079.8719    16079.8   4.0 1 1 0.65
	       1178.07 16031.0204    16030.8   4.0 1 1 1.53
	       1205.00 15972.6661    15972.6   4.0 1 1 0.50
	       1263.79 15845.2056    15848.1   4.0 1 1 0.90
	       1269.28 15833.2957    15833.2   4.0 1 1 2.30
	       1351.25 15655.3798     15655.   4.0 1 1 1.05
	       1362.19 15631.6297    15631.6   4.0 1 1 0.35
	       1377.69 15597.9678    15597.7   4.0 1 1 0.70
	       1403.85 15541.1244    15540.4   4.0 1 1 0.55
	       1453.96 15432.2292    15432.1   4.0 1 1 1.08
	       1470.93 15395.3238    15395.3   4.0 1 1 0.40
	       1499.78 15332.5883    15332.4   4.0 1 1 1.15
	       1520.35  15287.849    15287.8   4.0 1 1 0.58
	       1541.81 15241.1523     15241.   4.0 1 1 1.41
	       1566.56 15187.2962     15187.   4.0 1 1 0.38
	       1620.91 15069.0057    15068.9   4.0 1 1 0.66
	       1627.21  15055.301    15055.5   4.0 1 1 1.95
	       1704.33 14887.3512    14887.7   4.0 1 1 0.78
	       1729.31 14832.9311     14833.   4.0 1 1 0.62
	       1790.99 14698.5578    14698.4   4.0 1 1 0.35
	       1834.01 14604.8007    14604.8   4.0 1 1 0.35
	       1852.81 14563.8495     14564.   4.0 1 1 0.35
	       1873.49  14518.769     14519.   4.0 1 1 0.60
	       1947.80 14356.8078    14356.7   4.0 1 1 
	       2026.26 14185.8068    14186.1   4.0 1 1 0.20
	       2036.60 14163.2752    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.338253773732
		3093.919777739164
		2850.311159428286
		2604.354760202047
		2356.348162187297
		2108.687602928771

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,72]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,72]
	units	Angstroms
	features	52
	        207.96 18118.4477    18118.5   4.0 1 1 0.50
	        266.24 17993.9825     17994.   4.0 1 1 1.42
	        319.37 17880.3991    17880.3   4.0 1 1 1.20
	        416.72 17672.0164    17671.8   4.0 1 1 0.70
	        425.55 17653.1029    17653.2   4.0 1 1 2.00
	        520.32 17449.8687    17449.9   4.0 1 1 0.72
	        575.81 17330.7281    17330.9   4.0 1 1 0.32
	        614.03 17248.6057    17248.6   4.0 1 1 0.70
	        631.75 17210.5223    17210.4   4.0 1 1 0.36
	        672.19 17123.5322    17123.6   4.0 1 1 1.20
	        693.24 17078.2365    17078.3   4.0 1 1 0.70
	        725.52 17008.7259    17008.8   4.0 1 1 1.80
	        750.45 16955.0273    16955.1   4.0 1 1 0.52
	        774.38 16903.4691    16903.7   4.0 1 1 1.45
	        803.63 16840.4096    16840.5   4.0 1 1 0.30
	        864.56 16708.9536    16708.8   4.0 1 1 0.83
	        872.28 16692.2921    16692.1   4.0 1 1 2.30
	        936.21 16554.2323    16553.9   4.0 1 1 0.30
	        960.20 16502.4081    16502.3   4.0 1 1 0.75
	        988.00  16442.295    16442.1   4.0 1 1 
	       1012.83 16388.6182    16388.5   4.0 1 1 0.25
	       1030.05 16351.3621    16351.3   4.0 1 1 0.65
	       1045.90 16317.0723    16317.2   4.0 1 1 0.28
	       1083.70 16235.2517    16235.4   4.0 1 1 1.27
	       1102.50 16194.5516    16194.7   4.0 1 1 0.63
	       1133.00 16128.4919    16128.6   4.0 1 1 1.71
	       1155.53  16079.687    16079.8   4.0 1 1 0.65
	       1178.03   16030.92    16030.8   4.0 1 1 1.53
	       1204.94  15972.588    15972.6   4.0 1 1 0.50
	       1262.55 15847.6625    15848.1   4.0 1 1 0.90
	       1269.28 15833.0726    15833.2   4.0 1 1 2.30
	       1351.18  15655.316     15655.   4.0 1 1 1.05
	       1362.21 15631.3584    15631.6   4.0 1 1 0.35
	       1377.70 15597.7178    15597.7   4.0 1 1 0.70
	       1403.89 15540.8364    15540.4   4.0 1 1 0.55
	       1453.90 15432.1741    15432.1   4.0 1 1 1.08
	       1470.88 15395.2628    15395.3   4.0 1 1 0.40
	       1499.77 15332.4507    15332.4   4.0 1 1 1.15
	       1520.32 15287.7767    15287.8   4.0 1 1 0.58
	       1541.83 15240.9867     15241.   4.0 1 1 1.41
	       1566.57  15187.182     15187.   4.0 1 1 0.38
	       1620.90 15068.9622    15068.9   4.0 1 1 0.66
	       1627.20 15055.2616    15055.5   4.0 1 1 1.95
	       1704.33 14887.3515    14887.7   4.0 1 1 0.78
	       1729.31 14832.9403     14833.   4.0 1 1 0.62
	       1790.95 14698.6805    14698.4   4.0 1 1 0.35
	       1834.01 14604.8432    14604.8   4.0 1 1 0.35
	       1852.74 14564.0308     14564.   4.0 1 1 0.35
	       1873.47 14518.8308     14519.   4.0 1 1 0.60
	       1947.73 14356.9358    14356.7   4.0 1 1 
	       2026.18 14185.8179    14186.1   4.0 1 1 0.20
	       2036.62 14163.0507    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.200202439815
		3093.715148591091
		2850.398547900972
		2604.241421776398
		2356.486698460658
		2108.032757137248

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,73]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,73]
	units	Angstroms
	features	52
	        207.85 18118.4785    18118.5   4.0 1 1 0.50
	        266.18 17994.0417     17994.   4.0 1 1 1.42
	        319.42 17880.3054    17880.3   4.0 1 1 1.20
	        416.85 17671.8215    17671.8   4.0 1 1 0.70
	        425.58 17653.1239    17653.2   4.0 1 1 2.00
	        520.33 17449.9524    17449.9   4.0 1 1 0.72
	        575.91  17330.613    17330.9   4.0 1 1 0.32
	        614.03 17248.6823    17248.6   4.0 1 1 0.70
	        631.74  17210.596    17210.4   4.0 1 1 0.36
	        672.18 17123.5981    17123.6   4.0 1 1 1.20
	        693.17 17078.4343    17078.3   4.0 1 1 0.70
	        725.48  17008.858    17008.8   4.0 1 1 1.80
	        750.47 16955.0114    16955.1   4.0 1 1 0.52
	        774.37 16903.5239    16903.7   4.0 1 1 1.45
	        803.63 16840.4385    16840.5   4.0 1 1 0.30
	        864.60 16708.8848    16708.8   4.0 1 1 0.83
	        872.38 16692.1013    16692.1   4.0 1 1 2.30
	        936.35  16553.961    16553.9   4.0 1 1 0.30
	        960.16  16502.494    16502.3   4.0 1 1 0.75
	        988.08  16442.137    16442.1   4.0 1 1 
	       1012.84 16388.6108    16388.5   4.0 1 1 0.25
	       1030.02 16351.4476    16351.3   4.0 1 1 0.65
	       1046.00 16316.8726    16317.2   4.0 1 1 0.28
	       1083.62  16235.444    16235.4   4.0 1 1 1.27
	       1102.48 16194.6123    16194.7   4.0 1 1 0.63
	       1132.95 16128.6333    16128.6   4.0 1 1 1.71
	       1155.61 16079.5352    16079.8   4.0 1 1 0.65
	       1178.14 16030.7128    16030.8   4.0 1 1 1.53
	       1205.02 15972.4626    15972.6   4.0 1 1 0.50
	       1262.29 15848.2688    15848.1   4.0 1 1 0.90
	       1269.32 15833.0115    15833.2   4.0 1 1 2.30
	       1351.16 15655.3895     15655.   4.0 1 1 1.05
	       1362.18 15631.4522    15631.6   4.0 1 1 0.35
	       1377.73 15597.6752    15597.7   4.0 1 1 0.70
	       1404.06 15540.4904    15540.4   4.0 1 1 0.55
	       1453.98 15432.0154    15432.1   4.0 1 1 1.08
	       1470.81 15395.4426    15395.3   4.0 1 1 0.40
	       1499.79 15332.4263    15332.4   4.0 1 1 1.15
	       1520.37 15287.6836    15287.8   4.0 1 1 0.58
	       1541.81 15241.0465     15241.   4.0 1 1 1.41
	       1566.53 15187.2743     15187.   4.0 1 1 0.38
	       1620.95 15068.8721    15068.9   4.0 1 1 0.66
	       1627.10   15055.47    15055.5   4.0 1 1 1.95
	       1704.30 14887.4005    14887.7   4.0 1 1 0.78
	       1729.32 14832.9119     14833.   4.0 1 1 0.62
	       1790.94 14698.6785    14698.4   4.0 1 1 0.35
	       1834.04 14604.7576    14604.8   4.0 1 1 0.35
	       1852.69 14564.1199     14564.   4.0 1 1 0.35
	       1873.48 14518.7998     14519.   4.0 1 1 0.60
	       1947.82 14356.7125    14356.7   4.0 1 1 
	       2026.17 14185.8415    14186.1   4.0 1 1 0.20
	       2036.56 14163.1714    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.722308864681
		3093.806536833691
		2850.384054233929
		2604.258998410286
		2356.462869212321
		2108.112484739594

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,74]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,74]
	units	Angstroms
	features	52
	        207.90 18118.4185    18118.5   4.0 1 1 0.50
	        266.23 17993.9923     17994.   4.0 1 1 1.42
	        319.41 17880.4187    17880.3   4.0 1 1 1.20
	        416.78 17672.0658    17671.8   4.0 1 1 0.70
	        425.59 17653.1852    17653.2   4.0 1 1 2.00
	        520.47 17449.7034    17449.9   4.0 1 1 0.72
	        575.90 17330.6443    17330.9   4.0 1 1 0.32
	        614.10 17248.5399    17248.6   4.0 1 1 0.70
	        631.84 17210.3902    17210.4   4.0 1 1 0.36
	        672.23 17123.4785    17123.6   4.0 1 1 1.20
	        693.15  17078.438    17078.3   4.0 1 1 0.70
	        725.45 17008.8696    17008.8   4.0 1 1 1.80
	        750.41  16955.092    16955.1   4.0 1 1 0.52
	        774.26 16903.6911    16903.7   4.0 1 1 1.45
	        803.54 16840.5616    16840.5   4.0 1 1 0.30
	        864.63 16708.7435    16708.8   4.0 1 1 0.83
	        872.27  16692.267    16692.1   4.0 1 1 2.30
	        936.37 16553.8121    16553.9   4.0 1 1 0.30
	        960.09 16502.5639    16502.3   4.0 1 1 0.75
	        987.92 16442.4015    16442.1   4.0 1 1 
	       1012.75 16388.7152    16388.5   4.0 1 1 0.25
	       1030.04 16351.3022    16351.3   4.0 1 1 0.65
	       1045.94 16316.9015    16317.2   4.0 1 1 0.28
	       1083.63 16235.3261    16235.4   4.0 1 1 1.27
	       1102.46 16194.5645    16194.7   4.0 1 1 0.63
	       1132.92 16128.6049    16128.6   4.0 1 1 1.71
	       1155.50 16079.6796    16079.8   4.0 1 1 0.65
	       1178.17 16030.5706    16030.8   4.0 1 1 1.53
	       1204.85 15972.7369    15972.6   4.0 1 1 0.50
	       1262.42 15847.8925    15848.1   4.0 1 1 0.90
	       1269.32 15832.9276    15833.2   4.0 1 1 2.30
	       1351.16 15655.3123     15655.   4.0 1 1 1.05
	       1362.18 15631.3887    15631.6   4.0 1 1 0.35
	       1377.72   15597.62    15597.7   4.0 1 1 0.70
	       1403.89 15540.7907    15540.4   4.0 1 1 0.55
	       1453.88 15432.1625    15432.1   4.0 1 1 1.08
	       1470.78 15395.4287    15395.3   4.0 1 1 0.40
	       1499.74 15332.4734    15332.4   4.0 1 1 1.15
	       1520.28 15287.8086    15287.8   4.0 1 1 0.58
	       1541.80  15241.008     15241.   4.0 1 1 1.41
	       1566.58 15187.1113     15187.   4.0 1 1 0.38
	       1620.90 15068.9308    15068.9   4.0 1 1 0.66
	       1627.14 15055.3463    15055.5   4.0 1 1 1.95
	       1704.28 14887.4202    14887.7   4.0 1 1 0.78
	       1729.31 14832.9134     14833.   4.0 1 1 0.62
	       1790.95  14698.637    14698.4   4.0 1 1 0.35
	       1834.05 14604.7324    14604.8   4.0 1 1 0.35
	       1852.70 14564.0814     14564.   4.0 1 1 0.35
	       1873.46  14518.851     14519.   4.0 1 1 0.60
	       1947.78 14356.8386    14356.7   4.0 1 1 
	       2026.21 14185.8341    14186.1   4.0 1 1 0.20
	       2036.63 14163.1119    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.17893056886
		3093.885511462998
		2850.360126553948
		2604.247416424251
		2356.456833169619
		2108.248808852337

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,75]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,75]
	units	Angstroms
	features	52
	        207.86 18118.4999    18118.5   4.0 1 1 0.50
	        266.13 17994.0953     17994.   4.0 1 1 1.42
	        319.44 17880.1562    17880.3   4.0 1 1 1.20
	        416.77 17671.8183    17671.8   4.0 1 1 0.70
	        425.50 17653.1283    17653.2   4.0 1 1 2.00
	        520.21 17450.0132    17449.9   4.0 1 1 0.72
	        575.54 17331.2164    17330.9   4.0 1 1 0.32
	        613.95 17248.6813    17248.6   4.0 1 1 0.70
	        631.78 17210.3451    17210.4   4.0 1 1 0.36
	        672.21 17123.3791    17123.6   4.0 1 1 1.20
	        693.18 17078.2303    17078.3   4.0 1 1 0.70
	        725.51 17008.6223    17008.8   4.0 1 1 1.80
	        750.36 16955.1057    16955.1   4.0 1 1 0.52
	        774.26 16903.6031    16903.7   4.0 1 1 1.45
	        803.65 16840.2508    16840.5   4.0 1 1 0.30
	        864.67 16708.6105    16708.8   4.0 1 1 0.83
	        872.22 16692.3082    16692.1   4.0 1 1 2.30
	        936.20 16554.1318    16553.9   4.0 1 1 0.30
	        960.07 16502.5663    16502.3   4.0 1 1 0.75
	        987.93 16442.3271    16442.1   4.0 1 1 
	       1012.71  16388.749    16388.5   4.0 1 1 0.25
	       1030.05 16351.2559    16351.3   4.0 1 1 0.65
	       1045.89 16316.9796    16317.2   4.0 1 1 0.28
	       1083.54 16235.5038    16235.4   4.0 1 1 1.27
	       1102.45 16194.5574    16194.7   4.0 1 1 0.63
	       1132.95 16128.4949    16128.6   4.0 1 1 1.71
	       1155.46 16079.7364    16079.8   4.0 1 1 0.65
	       1178.05 16030.7774    16030.8   4.0 1 1 1.53
	       1204.88 15972.6312    15972.6   4.0 1 1 0.50
	       1262.36  15847.978    15848.1   4.0 1 1 0.90
	       1269.20 15833.1481    15833.2   4.0 1 1 2.30
	       1351.20 15655.1588     15655.   4.0 1 1 1.05
	       1362.21  15631.269    15631.6   4.0 1 1 0.35
	       1377.66 15597.7127    15597.7   4.0 1 1 0.70
	       1403.94 15540.6313    15540.4   4.0 1 1 0.55
	       1453.88 15432.1089    15432.1   4.0 1 1 1.08
	       1470.77 15395.3935    15395.3   4.0 1 1 0.40
	       1499.76 15332.3819    15332.4   4.0 1 1 1.15
	       1520.26 15287.7992    15287.8   4.0 1 1 0.58
	       1541.76 15241.0336     15241.   4.0 1 1 1.41
	       1566.50 15187.2155     15187.   4.0 1 1 0.38
	       1620.86 15068.9446    15068.9   4.0 1 1 0.66
	       1627.15 15055.2663    15055.5   4.0 1 1 1.95
	       1704.29 14887.3178    14887.7   4.0 1 1 0.78
	       1729.32 14832.8289     14833.   4.0 1 1 0.62
	       1790.91 14698.6655    14698.4   4.0 1 1 0.35
	       1833.94 14604.9083    14604.8   4.0 1 1 0.35
	       1852.62  14564.206     14564.   4.0 1 1 0.35
	       1873.42 14518.8727     14519.   4.0 1 1 0.60
	       1947.76 14356.8454    14356.7   4.0 1 1 
	       2026.27 14185.6756    14186.1   4.0 1 1 0.20
	       2036.59 14163.1633    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.760364587252
		3093.73357446277
		2850.366052468207
		2604.235504558372
		2356.446009574035
		2108.271959383102

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,76]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,76]
	units	Angstroms
	features	52
	        207.86 18118.4763    18118.5   4.0 1 1 0.50
	        266.15 17994.0358     17994.   4.0 1 1 1.42
	        319.36 17880.3005    17880.3   4.0 1 1 1.20
	        416.74 17671.8842    17671.8   4.0 1 1 0.70
	        425.52 17653.0713    17653.2   4.0 1 1 2.00
	        520.18 17450.0761    17449.9   4.0 1 1 0.72
	        575.79 17330.6762    17330.9   4.0 1 1 0.32
	        613.94 17248.6885    17248.6   4.0 1 1 0.70
	        631.70 17210.5113    17210.4   4.0 1 1 0.36
	        672.12 17123.5462    17123.6   4.0 1 1 1.20
	        693.20 17078.1768    17078.3   4.0 1 1 0.70
	        725.43 17008.7984    17008.8   4.0 1 1 1.80
	        750.42 16954.9537    16955.1   4.0 1 1 0.52
	        774.19  16903.738    16903.7   4.0 1 1 1.45
	        803.59 16840.3617    16840.5   4.0 1 1 0.30
	        864.59 16708.7712    16708.8   4.0 1 1 0.83
	        872.18  16692.374    16692.1   4.0 1 1 2.30
	        936.23 16554.0718    16553.9   4.0 1 1 0.30
	        960.16 16502.3502    16502.3   4.0 1 1 0.75
	        987.79 16442.6269    16442.1   4.0 1 1 
	       1012.77 16388.6178    16388.5   4.0 1 1 0.25
	       1030.18  16350.953    16351.3   4.0 1 1 0.65
	       1045.90 16316.9415    16317.2   4.0 1 1 0.28
	       1083.62 16235.3142    16235.4   4.0 1 1 1.27
	       1102.47 16194.5101    16194.7   4.0 1 1 0.63
	       1132.89 16128.6254    16128.6   4.0 1 1 1.71
	       1155.46 16079.7341    16079.8   4.0 1 1 0.65
	       1178.02 16030.8479    16030.8   4.0 1 1 1.53
	       1204.95  15972.473    15972.6   4.0 1 1 0.50
	       1262.31 15848.0934    15848.1   4.0 1 1 0.90
	       1269.20 15833.1333    15833.2   4.0 1 1 2.30
	       1351.15 15655.2777     15655.   4.0 1 1 1.05
	       1362.18  15631.316    15631.6   4.0 1 1 0.35
	       1377.62 15597.7878    15597.7   4.0 1 1 0.70
	       1403.96 15540.5718    15540.4   4.0 1 1 0.55
	       1453.81 15432.2547    15432.1   4.0 1 1 1.08
	       1470.81 15395.3166    15395.3   4.0 1 1 0.40
	       1499.70 15332.5032    15332.4   4.0 1 1 1.15
	       1520.26 15287.7838    15287.8   4.0 1 1 0.58
	       1541.77 15241.0173     15241.   4.0 1 1 1.41
	       1566.55 15187.1149     15187.   4.0 1 1 0.38
	       1620.86 15068.9293    15068.9   4.0 1 1 0.66
	       1627.15 15055.2351    15055.5   4.0 1 1 1.95
	       1704.30 14887.2914    14887.7   4.0 1 1 0.78
	       1729.35 14832.7371     14833.   4.0 1 1 0.62
	       1790.85 14698.7764    14698.4   4.0 1 1 0.35
	       1833.88 14605.0375    14604.8   4.0 1 1 0.35
	       1852.70 14564.0251     14564.   4.0 1 1 0.35
	       1873.43 14518.8515     14519.   4.0 1 1 0.60
	       1947.73 14356.9049    14356.7   4.0 1 1 
	       2026.22 14185.8026    14186.1   4.0 1 1 0.20
	       2036.66 14163.0323    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.538034293732
		3093.748924548628
		2850.358999718347
		2604.239189598382
		2356.436467239928
		2108.319206275842

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,77]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,77]
	units	Angstroms
	features	52
	        207.92 18118.4918    18118.5   4.0 1 1 0.50
	        266.20 17994.0253     17994.   4.0 1 1 1.42
	        319.37 17880.3371    17880.3   4.0 1 1 1.20
	        416.79 17671.7969    17671.8   4.0 1 1 0.70
	        425.56  17653.018    17653.2   4.0 1 1 2.00
	        520.23 17450.0063    17449.9   4.0 1 1 0.72
	        575.71 17330.8803    17330.9   4.0 1 1 0.32
	        613.99 17248.6141    17248.6   4.0 1 1 0.70
	        631.79 17210.3505    17210.4   4.0 1 1 0.36
	        672.14 17123.5615    17123.6   4.0 1 1 1.20
	        693.14 17078.3676    17078.3   4.0 1 1 0.70
	        725.48 17008.7444    17008.8   4.0 1 1 1.80
	        750.38 16955.1005    16955.1   4.0 1 1 0.52
	        774.19 16903.7918    16903.7   4.0 1 1 1.45
	        803.50 16840.6007    16840.5   4.0 1 1 0.30
	        864.60 16708.7841    16708.8   4.0 1 1 0.83
	        872.25  16692.271    16692.1   4.0 1 1 2.30
	        936.23 16554.0854    16553.9   4.0 1 1 0.30
	        960.19 16502.3137    16502.3   4.0 1 1 0.75
	        987.98  16442.244    16442.1   4.0 1 1 
	       1012.78 16388.6107    16388.5   4.0 1 1 0.25
	       1030.11 16351.1062    16351.3   4.0 1 1 0.65
	       1045.92 16316.8977    16317.2   4.0 1 1 0.28
	       1083.64 16235.2693    16235.4   4.0 1 1 1.27
	       1102.49 16194.4364    16194.7   4.0 1 1 0.63
	       1132.92 16128.5392    16128.6   4.0 1 1 1.71
	       1155.49 16079.6383    16079.8   4.0 1 1 0.65
	       1178.02 16030.8227    16030.8   4.0 1 1 1.53
	       1204.88 15972.5927    15972.6   4.0 1 1 0.50
	       1262.29 15848.0713    15848.1   4.0 1 1 0.90
	       1269.23 15833.0121    15833.2   4.0 1 1 2.30
	       1351.15  15655.215     15655.   4.0 1 1 1.05
	       1362.02  15631.601    15631.6   4.0 1 1 0.35
	       1377.56 15597.8634    15597.7   4.0 1 1 0.70
	       1403.76 15540.9483    15540.4   4.0 1 1 0.55
	       1453.80 15432.2172    15432.1   4.0 1 1 1.08
	       1470.83  15395.215    15395.3   4.0 1 1 0.40
	       1499.70 15332.4488    15332.4   4.0 1 1 1.15
	       1520.27 15287.7242    15287.8   4.0 1 1 0.58
	       1541.75 15241.0176     15241.   4.0 1 1 1.41
	       1566.52 15187.1296     15187.   4.0 1 1 0.38
	       1620.90 15068.8092    15068.9   4.0 1 1 0.66
	       1627.15 15055.2131    15055.5   4.0 1 1 1.95
	       1704.27 14887.3394    14887.7   4.0 1 1 0.78
	       1729.30 14832.8481     14833.   4.0 1 1 0.62
	       1790.82 14698.8313    14698.4   4.0 1 1 0.35
	       1833.97 14604.8342    14604.8   4.0 1 1 0.35
	       1852.68 14564.0607     14564.   4.0 1 1 0.35
	       1873.44 14518.8152     14519.   4.0 1 1 0.60
	       1947.72  14356.902    14356.7   4.0 1 1 
	       2026.12 14185.9338    14186.1   4.0 1 1 0.20
	       2036.66 14162.9514    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.387726206226
		3093.690080633662
		2850.395573655128
		2604.206459592392
		2356.470356670621
		2108.126057723431

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,78]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,78]
	units	Angstroms
	features	52
	        207.82 18118.5046    18118.5   4.0 1 1 0.50
	        266.20    17993.9     17994.   4.0 1 1 1.42
	        319.31 17880.4239    17880.3   4.0 1 1 1.20
	        416.75 17671.8902    17671.8   4.0 1 1 0.70
	        425.50 17653.1405    17653.2   4.0 1 1 2.00
	        520.26 17449.9359    17449.9   4.0 1 1 0.72
	        575.70 17330.8895    17330.9   4.0 1 1 0.32
	        614.05 17248.4707    17248.6   4.0 1 1 0.70
	        631.75 17210.4175    17210.4   4.0 1 1 0.36
	        672.18 17123.4447    17123.6   4.0 1 1 1.20
	        693.17 17078.2733    17078.3   4.0 1 1 0.70
	        725.47 17008.7109    17008.8   4.0 1 1 1.80
	        750.37 16955.0738    16955.1   4.0 1 1 0.52
	        774.18 16903.7523    16903.7   4.0 1 1 1.45
	        803.48 16840.5831    16840.5   4.0 1 1 0.30
	        864.48  16708.978    16708.8   4.0 1 1 0.83
	        872.21 16692.2993    16692.1   4.0 1 1 2.30
	        936.34 16553.8112    16553.9   4.0 1 1 0.30
	        960.06 16502.5422    16502.3   4.0 1 1 0.75
	        987.94 16442.2787    16442.1   4.0 1 1 
	       1012.66 16388.8218    16388.5   4.0 1 1 0.25
	       1030.11 16351.0693    16351.3   4.0 1 1 0.65
	       1045.90 16316.9131    16317.2   4.0 1 1 0.28
	       1083.66 16235.1688    16235.4   4.0 1 1 1.27
	       1102.40 16194.5982    16194.7   4.0 1 1 0.63
	       1132.93  16128.487    16128.6   4.0 1 1 1.71
	       1155.44 16079.7108    16079.8   4.0 1 1 0.65
	       1178.01 16030.7991    16030.8   4.0 1 1 1.53
	       1204.88 15972.5688    15972.6   4.0 1 1 0.50
	       1262.32 15847.9903    15848.1   4.0 1 1 0.90
	       1269.19 15833.0966    15833.2   4.0 1 1 2.30
	       1351.10 15655.3166     15655.   4.0 1 1 1.05
	       1362.11 15631.4002    15631.6   4.0 1 1 0.35
	       1377.60 15597.7787    15597.7   4.0 1 1 0.70
	       1403.79 15540.8885    15540.4   4.0 1 1 0.55
	       1453.78 15432.2681    15432.1   4.0 1 1 1.08
	       1470.86 15395.1381    15395.3   4.0 1 1 0.40
	       1499.68 15332.4822    15332.4   4.0 1 1 1.15
	       1520.30 15287.6515    15287.8   4.0 1 1 0.58
	       1541.77 15240.9446     15241.   4.0 1 1 1.41
	       1566.45 15187.2616     15187.   4.0 1 1 0.38
	       1620.91  15068.778    15068.9   4.0 1 1 0.66
	       1627.08 15055.3362    15055.5   4.0 1 1 1.95
	       1704.26 14887.3205    14887.7   4.0 1 1 0.78
	       1729.29 14832.8314     14833.   4.0 1 1 0.62
	       1790.80 14698.8439    14698.4   4.0 1 1 0.35
	       1833.91 14604.9016    14604.8   4.0 1 1 0.35
	       1852.65 14564.0723     14564.   4.0 1 1 0.35
	       1873.42 14518.8032     14519.   4.0 1 1 0.60
	       1947.72 14356.8361    14356.7   4.0 1 1 
	       2026.09 14185.9663    14186.1   4.0 1 1 0.20
	       2036.65 14162.9361    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.220561976269
		3093.760283119965
		2850.364937685751
		2604.218568019383
		2356.444853247668
		2108.178716189801

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,79]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,79]
	units	Angstroms
	features	52
	        207.78 18118.5268    18118.5   4.0 1 1 0.50
	        266.11 17994.0222     17994.   4.0 1 1 1.42
	        319.38  17880.184    17880.3   4.0 1 1 1.20
	        416.75 17671.8374    17671.8   4.0 1 1 0.70
	        425.46 17653.1857    17653.2   4.0 1 1 2.00
	        520.20 17450.0356    17449.9   4.0 1 1 0.72
	        575.64 17331.0137    17330.9   4.0 1 1 0.32
	        614.07 17248.4313    17248.6   4.0 1 1 0.70
	        631.88 17210.1286    17210.4   4.0 1 1 0.36
	        672.03 17123.7672    17123.6   4.0 1 1 1.20
	        693.14  17078.339    17078.3   4.0 1 1 0.70
	        725.44 17008.7875    17008.8   4.0 1 1 1.80
	        750.44 16954.9394    16955.1   4.0 1 1 0.52
	        774.23 16903.6776    16903.7   4.0 1 1 1.45
	        803.45 16840.6693    16840.5   4.0 1 1 0.30
	        864.49 16708.9924    16708.8   4.0 1 1 0.83
	        872.25 16692.2373    16692.1   4.0 1 1 2.30
	        936.36 16553.7634    16553.9   4.0 1 1 0.30
	        960.17  16502.304    16502.3   4.0 1 1 0.75
	        987.92 16442.3204    16442.1   4.0 1 1 
	       1012.79 16388.5413    16388.5   4.0 1 1 0.25
	       1029.95 16351.4169    16351.3   4.0 1 1 0.65
	       1045.92 16316.8633    16317.2   4.0 1 1 0.28
	       1083.61 16235.2827    16235.4   4.0 1 1 1.27
	       1102.46 16194.4702    16194.7   4.0 1 1 0.63
	       1132.90 16128.5302    16128.6   4.0 1 1 1.71
	       1155.37 16079.8448    16079.8   4.0 1 1 0.65
	       1177.98 16030.8424    16030.8   4.0 1 1 1.53
	       1204.84 15972.6273    15972.6   4.0 1 1 0.50
	       1262.32 15847.9622    15848.1   4.0 1 1 0.90
	       1269.19 15833.0421    15833.2   4.0 1 1 2.30
	       1351.09 15655.2797     15655.   4.0 1 1 1.05
	       1362.06 15631.4564    15631.6   4.0 1 1 0.35
	       1377.61 15597.6952    15597.7   4.0 1 1 0.70
	       1403.79 15540.8178    15540.4   4.0 1 1 0.55
	       1453.84  15432.082    15432.1   4.0 1 1 1.08
	       1470.73 15395.3678    15395.3   4.0 1 1 0.40
	       1499.61 15332.5694    15332.4   4.0 1 1 1.15
	       1520.28 15287.6234    15287.8   4.0 1 1 0.58
	       1541.70 15241.0474     15241.   4.0 1 1 1.41
	       1566.49 15187.1317     15187.   4.0 1 1 0.38
	       1620.84 15068.8797    15068.9   4.0 1 1 0.66
	       1627.09 15055.2818    15055.5   4.0 1 1 1.95
	       1704.21 14887.3927    14887.7   4.0 1 1 0.78
	       1729.31 14832.7327     14833.   4.0 1 1 0.62
	       1790.80 14698.8024    14698.4   4.0 1 1 0.35
	       1833.89 14604.9188    14604.8   4.0 1 1 0.35
	       1852.63 14564.0848     14564.   4.0 1 1 0.35
	       1873.37   14518.87     14519.   4.0 1 1 0.60
	       1947.74 14356.7527    14356.7   4.0 1 1 
	       2026.12 14185.8451    14186.1   4.0 1 1 0.20
	       2036.55 14163.0821    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.477921282701
		3093.702948680769
		2850.386780191427
		2604.198561282009
		2356.451066214479
		2108.110966191795

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,80]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,80]
	units	Angstroms
	features	52
	        207.79 18118.4129    18118.5   4.0 1 1 0.50
	        266.05 17994.0996     17994.   4.0 1 1 1.42
	        319.29 17880.3533    17880.3   4.0 1 1 1.20
	        416.67 17671.9697    17671.8   4.0 1 1 0.70
	        425.54 17652.9787    17653.2   4.0 1 1 2.00
	        520.21  17449.961    17449.9   4.0 1 1 0.72
	        575.71 17330.7814    17330.9   4.0 1 1 0.32
	        613.99 17248.5211    17248.6   4.0 1 1 0.70
	        631.59 17210.6636    17210.4   4.0 1 1 0.36
	        672.03 17123.6683    17123.6   4.0 1 1 1.20
	        693.15 17078.2007    17078.3   4.0 1 1 0.70
	        725.49 17008.5786    17008.8   4.0 1 1 1.80
	        750.43 16954.8527    16955.1   4.0 1 1 0.52
	        774.18 16903.6611    16903.7   4.0 1 1 1.45
	        803.44 16840.5841    16840.5   4.0 1 1 0.30
	        864.46 16708.9292    16708.8   4.0 1 1 0.83
	        872.24 16692.1287    16692.1   4.0 1 1 2.30
	        936.20 16553.9993    16553.9   4.0 1 1 0.30
	        960.07 16502.4193    16502.3   4.0 1 1 0.75
	        987.80 16442.4772    16442.1   4.0 1 1 
	       1012.60 16388.8378    16388.5   4.0 1 1 0.25
	       1030.01 16351.1933    16351.3   4.0 1 1 0.65
	       1045.84 16316.9461    16317.2   4.0 1 1 0.28
	       1083.63   16235.14    16235.4   4.0 1 1 1.27
	       1102.43 16194.4392    16194.7   4.0 1 1 0.63
	       1132.87 16128.5273    16128.6   4.0 1 1 1.71
	       1155.39 16079.7384    16079.8   4.0 1 1 0.65
	       1177.94 16030.8719    16030.8   4.0 1 1 1.53
	       1204.72 15972.8135    15972.6   4.0 1 1 0.50
	       1262.26 15848.0437    15848.1   4.0 1 1 0.90
	       1269.17 15833.0576    15833.2   4.0 1 1 2.30
	       1351.11 15655.2017     15655.   4.0 1 1 1.05
	       1362.11 15631.3157    15631.6   4.0 1 1 0.35
	       1377.60 15597.6794    15597.7   4.0 1 1 0.70
	       1403.82 15540.7254    15540.4   4.0 1 1 0.55
	       1453.80 15432.1228    15432.1   4.0 1 1 1.08
	       1470.70 15395.3945    15395.3   4.0 1 1 0.40
	       1499.60 15332.5689    15332.4   4.0 1 1 1.15
	       1520.30 15287.5618    15287.8   4.0 1 1 0.58
	       1541.71 15240.9853     15241.   4.0 1 1 1.41
	       1566.44  15187.192     15187.   4.0 1 1 0.38
	       1620.81 15068.8957    15068.9   4.0 1 1 0.66
	       1627.10 15055.2201    15055.5   4.0 1 1 1.95
	       1704.16 14887.4572    14887.7   4.0 1 1 0.78
	       1729.28 14832.7734     14833.   4.0 1 1 0.62
	       1790.85 14698.6664    14698.4   4.0 1 1 0.35
	       1833.79 14605.1092    14604.8   4.0 1 1 0.35
	       1852.63 14564.0596     14564.   4.0 1 1 0.35
	       1873.40 14518.7976     14519.   4.0 1 1 0.60
	       1947.68 14356.8997    14356.7   4.0 1 1 
	       2026.20 14185.7165    14186.1   4.0 1 1 0.20
	       2036.57  14163.108    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.771766315255
		3093.771340567951
		2850.340233703843
		2604.209539695832
		2356.420903054582
		2108.299156578187

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,81]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,81]
	units	Angstroms
	features	52
	        207.80 18118.5175    18118.5   4.0 1 1 0.50
	        266.13 17993.9589     17994.   4.0 1 1 1.42
	        319.31 17880.2796    17880.3   4.0 1 1 1.20
	        416.64 17671.9542    17671.8   4.0 1 1 0.70
	        425.43 17653.1233    17653.2   4.0 1 1 2.00
	        520.14 17450.0424    17449.9   4.0 1 1 0.72
	        575.68 17330.8124    17330.9   4.0 1 1 0.32
	        613.99 17248.4794    17248.6   4.0 1 1 0.70
	        631.69 17210.4266    17210.4   4.0 1 1 0.36
	        671.99 17123.7599    17123.6   4.0 1 1 1.20
	        693.23 17078.0531    17078.3   4.0 1 1 0.70
	        725.42  17008.748    17008.8   4.0 1 1 1.80
	        750.39   16954.95    16955.1   4.0 1 1 0.52
	        774.27 16903.4922    16903.7   4.0 1 1 1.45
	        803.42 16840.6511    16840.5   4.0 1 1 0.30
	        864.46 16708.9871    16708.8   4.0 1 1 0.83
	        872.22 16692.2347    16692.1   4.0 1 1 2.30
	        936.20 16554.0712    16553.9   4.0 1 1 0.30
	        960.04 16502.5349    16502.3   4.0 1 1 0.75
	        987.88 16442.3533    16442.1   4.0 1 1 
	       1012.71 16388.6743    16388.5   4.0 1 1 0.25
	       1030.03 16351.2004    16351.3   4.0 1 1 0.65
	       1045.89 16316.8953    16317.2   4.0 1 1 0.28
	       1083.61 16235.2533    16235.4   4.0 1 1 1.27
	       1102.45 16194.4651    16194.7   4.0 1 1 0.63
	       1132.93 16128.4429    16128.6   4.0 1 1 1.71
	       1155.39 16079.7824    16079.8   4.0 1 1 0.65
	       1177.97  16030.862    16030.8   4.0 1 1 1.53
	       1204.85 15972.5775    15972.6   4.0 1 1 0.50
	       1262.26 15848.0668    15848.1   4.0 1 1 0.90
	       1269.20 15833.0104    15833.2   4.0 1 1 2.30
	       1351.11 15655.2207     15655.   4.0 1 1 1.05
	       1362.07 15631.4298    15631.6   4.0 1 1 0.35
	       1377.63 15597.6332    15597.7   4.0 1 1 0.70
	       1403.81 15540.7691    15540.4   4.0 1 1 0.55
	       1453.80 15432.1258    15432.1   4.0 1 1 1.08
	       1470.73 15395.3392    15395.3   4.0 1 1 0.40
	       1499.73 15332.2857    15332.4   4.0 1 1 1.15
	       1520.15 15287.8739    15287.8   4.0 1 1 0.58
	       1541.68  15241.064     15241.   4.0 1 1 1.41
	       1566.44 15187.1971     15187.   4.0 1 1 0.38
	       1620.80 15068.9048    15068.9   4.0 1 1 0.66
	       1627.02 15055.3647    15055.5   4.0 1 1 1.95
	       1704.16 14887.4263    14887.7   4.0 1 1 0.78
	       1729.21 14832.8681     14833.   4.0 1 1 0.62
	       1790.81 14698.6977    14698.4   4.0 1 1 0.35
	       1833.86 14604.8863    14604.8   4.0 1 1 0.35
	       1852.63 14563.9823     14564.   4.0 1 1 0.35
	       1873.39 14518.7489     14519.   4.0 1 1 0.60
	       1947.63 14356.9132    14356.7   4.0 1 1 
	       2026.16 14185.6725    14186.1   4.0 1 1 0.20
	       2036.45 14163.2367    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.029672963362
		3093.671636554098
		2850.366142314214
		2604.20967808098
		2356.413631139516
		2108.181207836048

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,82]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,82]
	units	Angstroms
	features	52
	        207.79 18118.4889    18118.5   4.0 1 1 0.50
	        266.08 17994.0378     17994.   4.0 1 1 1.42
	        319.32 17880.2471    17880.3   4.0 1 1 1.20
	        416.67 17671.8792    17671.8   4.0 1 1 0.70
	        425.42 17653.1373    17653.2   4.0 1 1 2.00
	        520.12 17450.0431    17449.9   4.0 1 1 0.72
	        575.60 17330.9119    17330.9   4.0 1 1 0.32
	        614.01 17248.3868    17248.6   4.0 1 1 0.70
	        631.64 17210.4645    17210.4   4.0 1 1 0.36
	        671.97 17123.7264    17123.6   4.0 1 1 1.20
	        693.10 17078.2473    17078.3   4.0 1 1 0.70
	        725.43 17008.6341    17008.8   4.0 1 1 1.80
	        750.33 16955.0097    16955.1   4.0 1 1 0.52
	        774.16 16903.6438    16903.7   4.0 1 1 1.45
	        803.44 16840.5357    16840.5   4.0 1 1 0.30
	        864.48 16708.8375    16708.8   4.0 1 1 0.83
	        872.22 16692.1435    16692.1   4.0 1 1 2.30
	        936.32 16553.7138    16553.9   4.0 1 1 0.30
	        960.06 16502.4217    16502.3   4.0 1 1 0.75
	        987.76 16442.5387    16442.1   4.0 1 1 
	       1012.64 16388.7458    16388.5   4.0 1 1 0.25
	       1029.93 16351.3292    16351.3   4.0 1 1 0.65
	       1045.76 16317.0887    16317.2   4.0 1 1 0.28
	       1083.55 16235.3056    16235.4   4.0 1 1 1.27
	       1102.35 16194.6032    16194.7   4.0 1 1 0.63
	       1132.88 16128.4757    16128.6   4.0 1 1 1.71
	       1155.41 16079.6676    16079.8   4.0 1 1 0.65
	       1177.95 16030.8435    16030.8   4.0 1 1 1.53
	       1204.85 15972.5177    15972.6   4.0 1 1 0.50
	       1262.24 15848.0668    15848.1   4.0 1 1 0.90
	       1269.18  15833.024    15833.2   4.0 1 1 2.30
	       1351.13 15655.1587     15655.   4.0 1 1 1.05
	       1362.04  15631.462    15631.6   4.0 1 1 0.35
	       1377.62  15597.624    15597.7   4.0 1 1 0.70
	       1403.75  15540.864    15540.4   4.0 1 1 0.55
	       1453.79 15432.1352    15432.1   4.0 1 1 1.08
	       1470.68 15395.4344    15395.3   4.0 1 1 0.40
	       1499.65 15332.4423    15332.4   4.0 1 1 1.15
	       1520.27  15287.616    15287.8   4.0 1 1 0.58
	       1541.69  15241.034     15241.   4.0 1 1 1.41
	       1566.53 15186.9885     15187.   4.0 1 1 0.38
	       1620.80 15068.9047    15068.9   4.0 1 1 0.66
	       1627.00 15055.4104    15055.5   4.0 1 1 1.95
	       1704.23  14887.272    14887.7   4.0 1 1 0.78
	       1729.20 14832.8963     14833.   4.0 1 1 0.62
	       1790.77 14698.7884    14698.4   4.0 1 1 0.35
	       1833.83 14604.9637    14604.8   4.0 1 1 0.35
	       1852.60 14564.0511     14564.   4.0 1 1 0.35
	       1873.38 14518.7676     14519.   4.0 1 1 0.60
	       1947.61 14356.9297    14356.7   4.0 1 1 
	       2026.10 14185.7897    14186.1   4.0 1 1 0.20
	       2036.52 14163.0503    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.68429102718
		3093.708777572508
		2850.338237679252
		2604.207133042889
		2356.420307341249
		2108.126813993902

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,83]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,83]
	units	Angstroms
	features	52
	        207.76 18118.5522    18118.5   4.0 1 1 0.50
	        266.08 17994.0004     17994.   4.0 1 1 1.42
	        319.30 17880.2284    17880.3   4.0 1 1 1.20
	        416.67 17671.8239    17671.8   4.0 1 1 0.70
	        425.44 17653.0252    17653.2   4.0 1 1 2.00
	        520.15 17449.9511    17449.9   4.0 1 1 0.72
	        575.54  17331.025    17330.9   4.0 1 1 0.32
	        613.94 17248.5263    17248.6   4.0 1 1 0.70
	        631.65  17210.444    17210.4   4.0 1 1 0.36
	        672.04 17123.5891    17123.6   4.0 1 1 1.20
	        692.98   17078.52    17078.3   4.0 1 1 0.70
	        725.44 17008.6423    17008.8   4.0 1 1 1.80
	        750.32 16955.0525    16955.1   4.0 1 1 0.52
	        774.11 16903.7807    16903.7   4.0 1 1 1.45
	        803.45 16840.5358    16840.5   4.0 1 1 0.30
	        864.49  16708.858    16708.8   4.0 1 1 0.83
	        872.20 16692.2136    16692.1   4.0 1 1 2.30
	        936.35 16553.6591    16553.9   4.0 1 1 0.30
	        960.08 16502.3831    16502.3   4.0 1 1 0.75
	        987.81 16442.4339    16442.1   4.0 1 1 
	       1012.68 16388.6526    16388.5   4.0 1 1 0.25
	       1029.99 16351.2042    16351.3   4.0 1 1 0.65
	       1045.77 16317.0693    16317.2   4.0 1 1 0.28
	       1083.59 16235.2111    16235.4   4.0 1 1 1.27
	       1102.36 16194.5642    16194.7   4.0 1 1 0.63
	       1132.88 16128.4557    16128.6   4.0 1 1 1.71
	       1155.47 16079.5192    16079.8   4.0 1 1 0.65
	       1177.95 16030.7997    16030.8   4.0 1 1 1.53
	       1204.81 15972.5814    15972.6   4.0 1 1 0.50
	       1262.24 15848.0224    15848.1   4.0 1 1 0.90
	       1269.14  15833.053    15833.2   4.0 1 1 2.30
	       1351.01 15655.3493     15655.   4.0 1 1 1.05
	       1361.99 15631.5044    15631.6   4.0 1 1 0.35
	       1377.58   15597.64    15597.7   4.0 1 1 0.70
	       1403.68 15540.9472    15540.4   4.0 1 1 0.55
	       1453.75 15432.1366    15432.1   4.0 1 1 1.08
	       1470.66 15395.3809    15395.3   4.0 1 1 0.40
	       1499.60 15332.4594    15332.4   4.0 1 1 1.15
	       1520.18 15287.7233    15287.8   4.0 1 1 0.58
	       1541.62 15241.0982     15241.   4.0 1 1 1.41
	       1566.47  15187.042     15187.   4.0 1 1 0.38
	       1620.74 15068.9391    15068.9   4.0 1 1 0.66
	       1626.99 15055.3397    15055.5   4.0 1 1 1.95
	       1704.16 14887.3545    14887.7   4.0 1 1 0.78
	       1729.18 14832.8703     14833.   4.0 1 1 0.62
	       1790.81 14698.6258    14698.4   4.0 1 1 0.35
	       1833.84 14604.8766    14604.8   4.0 1 1 0.35
	       1852.57 14564.0744     14564.   4.0 1 1 0.35
	       1873.35 14518.7926     14519.   4.0 1 1 0.60
	       1947.67 14356.7928    14356.7   4.0 1 1 
	       2026.08 14185.8557    14186.1   4.0 1 1 0.20
	       2036.50 14163.1199    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.295840423222
		3093.637706907397
		2850.364674915299
		2604.185757313899
		2356.408490305287
		2108.229125357861

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,84]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,84]
	units	Angstroms
	features	52
	        207.74 18118.4956    18118.5   4.0 1 1 0.50
	        266.04 17994.0347     17994.   4.0 1 1 1.42
	        319.26 17880.3205    17880.3   4.0 1 1 1.20
	        416.71 17671.7677    17671.8   4.0 1 1 0.70
	        425.46 17653.0177    17653.2   4.0 1 1 2.00
	        520.11 17450.0877    17449.9   4.0 1 1 0.72
	        575.68 17330.7549    17330.9   4.0 1 1 0.32
	        613.88 17248.6754    17248.6   4.0 1 1 0.70
	        631.57 17210.6446    17210.4   4.0 1 1 0.36
	        672.04 17123.5869    17123.6   4.0 1 1 1.20
	        693.09 17078.2888    17078.3   4.0 1 1 0.70
	        725.43 17008.6588    17008.8   4.0 1 1 1.80
	        750.34 16954.9856    16955.1   4.0 1 1 0.52
	        774.13 16903.7172    16903.7   4.0 1 1 1.45
	        803.52 16840.3542    16840.5   4.0 1 1 0.30
	        864.52 16708.7529    16708.8   4.0 1 1 0.83
	        872.12 16692.3409    16692.1   4.0 1 1 2.30
	        936.27 16553.7951    16553.9   4.0 1 1 0.30
	        959.97 16502.5812    16502.3   4.0 1 1 0.75
	        987.79 16442.4422    16442.1   4.0 1 1 
	       1012.67 16388.6351    16388.5   4.0 1 1 0.25
	       1029.95 16351.2475    16351.3   4.0 1 1 0.65
	       1045.81 16316.9439    16317.2   4.0 1 1 0.28
	       1083.52 16235.3141    16235.4   4.0 1 1 1.27
	       1102.32 16194.6095    16194.7   4.0 1 1 0.63
	       1132.88 16128.4159    16128.6   4.0 1 1 1.71
	       1155.45 16079.5209    16079.8   4.0 1 1 0.65
	       1177.92 16030.8231    16030.8   4.0 1 1 1.53
	       1204.74 15972.6831    15972.6   4.0 1 1 0.50
	       1262.19 15848.0776    15848.1   4.0 1 1 0.90
	       1269.17 15832.9274    15833.2   4.0 1 1 2.30
	       1350.96 15655.3943     15655.   4.0 1 1 1.05
	       1361.99 15631.4453    15631.6   4.0 1 1 0.35
	       1377.53 15597.6937    15597.7   4.0 1 1 0.70
	       1403.70 15540.8538    15540.4   4.0 1 1 0.55
	       1453.74   15432.11    15432.1   4.0 1 1 1.08
	       1470.64 15395.3923    15395.3   4.0 1 1 0.40
	       1499.59 15332.4459    15332.4   4.0 1 1 1.15
	       1520.16 15287.7294    15287.8   4.0 1 1 0.58
	       1541.64 15240.9992     15241.   4.0 1 1 1.41
	       1566.45 15187.0462     15187.   4.0 1 1 0.38
	       1620.76 15068.8687    15068.9   4.0 1 1 0.66
	       1627.04 15055.2022    15055.5   4.0 1 1 1.95
	       1704.06 14887.5616    14887.7   4.0 1 1 0.78
	       1729.20 14832.8143     14833.   4.0 1 1 0.62
	       1790.76 14698.7259    14698.4   4.0 1 1 0.35
	       1833.80 14604.9689    14604.8   4.0 1 1 0.35
	       1852.58 14564.0471     14564.   4.0 1 1 0.35
	       1873.38 14518.7314     14519.   4.0 1 1 0.60
	       1947.64 14356.8842    14356.7   4.0 1 1 
	       2026.17 14185.6933    14186.1   4.0 1 1 0.20
	       2036.49 14163.1916    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.552567113087
		3093.681693450255
		2850.358030975165
		2604.17482251808
		2356.410519230828
		2108.2820872601

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,85]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,85]
	units	Angstroms
	features	52
	        207.71 18118.5617    18118.5   4.0 1 1 0.50
	        266.07 17993.9525     17994.   4.0 1 1 1.42
	        319.26 17880.2739    17880.3   4.0 1 1 1.20
	        416.67  17671.809    17671.8   4.0 1 1 0.70
	        425.44 17653.0162    17653.2   4.0 1 1 2.00
	        520.05 17450.1477    17449.9   4.0 1 1 0.72
	        575.61 17330.8512    17330.9   4.0 1 1 0.32
	        613.87  17248.647    17248.6   4.0 1 1 0.70
	        631.58 17210.5739    17210.4   4.0 1 1 0.36
	        672.00 17123.6271    17123.6   4.0 1 1 1.20
	        693.11 17078.1902    17078.3   4.0 1 1 0.70
	        725.34 17008.7936    17008.8   4.0 1 1 1.80
	        750.41 16954.8087    16955.1   4.0 1 1 0.52
	        774.17 16903.6092    16903.7   4.0 1 1 1.45
	        803.46 16840.4601    16840.5   4.0 1 1 0.30
	        864.47  16708.835    16708.8   4.0 1 1 0.83
	        872.16 16692.2504    16692.1   4.0 1 1 2.30
	        936.14 16554.0809    16553.9   4.0 1 1 0.30
	        960.10 16502.3068    16502.3   4.0 1 1 0.75
	        987.73 16442.5597    16442.1   4.0 1 1 
	       1012.68 16388.6187    16388.5   4.0 1 1 0.25
	       1029.92 16351.3171    16351.3   4.0 1 1 0.65
	       1045.85 16316.8529    16317.2   4.0 1 1 0.28
	       1083.55 16235.2661    16235.4   4.0 1 1 1.27
	       1102.37 16194.5098    16194.7   4.0 1 1 0.63
	       1132.85 16128.5003    16128.6   4.0 1 1 1.71
	       1155.39 16079.6777    16079.8   4.0 1 1 0.65
	       1177.95 16030.7873    16030.8   4.0 1 1 1.53
	       1204.75 15972.6894    15972.6   4.0 1 1 0.50
	       1262.28 15847.9296    15848.1   4.0 1 1 0.90
	       1269.15 15833.0136    15833.2   4.0 1 1 2.30
	       1350.98  15655.395     15655.   4.0 1 1 1.05
	       1361.97 15631.5259    15631.6   4.0 1 1 0.35
	       1377.55 15597.6953    15597.7   4.0 1 1 0.70
	       1403.83 15540.6041    15540.4   4.0 1 1 0.55
	       1453.70 15432.2298    15432.1   4.0 1 1 1.08
	       1470.67 15395.3315    15395.3   4.0 1 1 0.40
	       1499.58  15332.489    15332.4   4.0 1 1 1.15
	       1520.20 15287.6532    15287.8   4.0 1 1 0.58
	       1541.61 15241.0746     15241.   4.0 1 1 1.41
	       1566.40 15187.1544     15187.   4.0 1 1 0.38
	       1620.72 15068.9558    15068.9   4.0 1 1 0.66
	       1627.07 15055.1307    15055.5   4.0 1 1 1.95
	       1704.08 14887.4731    14887.7   4.0 1 1 0.78
	       1729.18 14832.8122     14833.   4.0 1 1 0.62
	       1790.73 14698.7599    14698.4   4.0 1 1 0.35
	       1833.76 14605.0027    14604.8   4.0 1 1 0.35
	       1852.60 14563.9585     14564.   4.0 1 1 0.35
	       1873.36 14518.7201     14519.   4.0 1 1 0.60
	       1947.60 14356.9331    14356.7   4.0 1 1 
	       2026.11 14185.7962    14186.1   4.0 1 1 0.20
	       2036.53 14163.0874    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.645306368024
		3093.681825674948
		2850.339327537989
		2604.197275255351
		2356.374429893292
		2108.387665689132

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,86]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,86]
	units	Angstroms
	features	52
	        207.71 18118.4668    18118.5   4.0 1 1 0.50
	        266.05 17994.0001     17994.   4.0 1 1 1.42
	        319.23 17880.3772    17880.3   4.0 1 1 1.20
	        416.67 17671.8704    17671.8   4.0 1 1 0.70
	        425.42 17653.1209    17653.2   4.0 1 1 2.00
	        520.19 17449.8811    17449.9   4.0 1 1 0.72
	        575.62 17330.8378    17330.9   4.0 1 1 0.32
	        613.86 17248.6441    17248.6   4.0 1 1 0.70
	        631.61   17210.49    17210.4   4.0 1 1 0.36
	        672.04  17123.495    17123.6   4.0 1 1 1.20
	        693.03 17078.3084    17078.3   4.0 1 1 0.70
	        725.36 17008.6894    17008.8   4.0 1 1 1.80
	        750.20 16955.1901    16955.1   4.0 1 1 0.52
	        774.19 16903.4759    16903.7   4.0 1 1 1.45
	        803.41 16840.4906    16840.5   4.0 1 1 0.30
	        864.35 16709.0173    16708.8   4.0 1 1 0.83
	        872.21 16692.0432    16692.1   4.0 1 1 2.30
	        936.16 16553.9512    16553.9   4.0 1 1 0.30
	        960.00 16502.4209    16502.3   4.0 1 1 0.75
	        987.75 16442.4445    16442.1   4.0 1 1 
	       1012.64 16388.6225    16388.5   4.0 1 1 0.25
	       1029.89 16351.3161    16351.3   4.0 1 1 0.65
	       1045.72 16317.0707    16317.2   4.0 1 1 0.28
	       1083.53 16235.2316    16235.4   4.0 1 1 1.27
	       1102.35  16194.498    16194.7   4.0 1 1 0.63
	       1132.72 16128.7312    16128.6   4.0 1 1 1.71
	       1155.41 16079.5694    16079.8   4.0 1 1 0.65
	       1177.89  16030.869    16030.8   4.0 1 1 1.53
	       1204.79 15972.5646    15972.6   4.0 1 1 0.50
	       1262.31 15847.8246    15848.1   4.0 1 1 0.90
	       1269.12 15833.0423    15833.2   4.0 1 1 2.30
	       1350.98 15655.3905     15655.   4.0 1 1 1.05
	       1362.06 15631.3273    15631.6   4.0 1 1 0.35
	       1377.57 15597.6366    15597.7   4.0 1 1 0.70
	       1403.76 15540.7439    15540.4   4.0 1 1 0.55
	       1453.70 15432.2368    15432.1   4.0 1 1 1.08
	       1470.62 15395.4568    15395.3   4.0 1 1 0.40
	       1499.62 15332.4187    15332.4   4.0 1 1 1.15
	       1520.20 15287.6643    15287.8   4.0 1 1 0.58
	       1541.60 15241.1134     15241.   4.0 1 1 1.41
	       1566.46 15187.0295     15187.   4.0 1 1 0.38
	       1620.72 15068.9594    15068.9   4.0 1 1 0.66
	       1627.01 15055.2745    15055.5   4.0 1 1 1.95
	       1704.10 14887.4489    14887.7   4.0 1 1 0.78
	       1729.17 14832.8547     14833.   4.0 1 1 0.62
	       1790.81 14698.5813    14698.4   4.0 1 1 0.35
	       1833.73 14605.0678    14604.8   4.0 1 1 0.35
	       1852.57 14564.0263     14564.   4.0 1 1 0.35
	       1873.35 14518.7348     14519.   4.0 1 1 0.60
	       1947.61 14356.8824    14356.7   4.0 1 1 
	       2026.10 14185.7773    14186.1   4.0 1 1 0.20
	       2036.49 14163.1198    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.527944362869
		3093.787895309658
		2850.299758785623
		2604.204243734715
		2356.376690065974
		2108.309050021956

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,87]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,87]
	units	Angstroms
	features	52
	        207.69  18118.508    18118.5   4.0 1 1 0.50
	        265.99 17994.0572     17994.   4.0 1 1 1.42
	        319.29 17880.1748    17880.3   4.0 1 1 1.20
	        416.60  17671.915    17671.8   4.0 1 1 0.70
	        425.39  17653.093    17653.2   4.0 1 1 2.00
	        520.06  17450.114    17449.9   4.0 1 1 0.72
	        575.67 17330.7006    17330.9   4.0 1 1 0.32
	        613.88 17248.5868    17248.6   4.0 1 1 0.70
	        631.63 17210.4382    17210.4   4.0 1 1 0.36
	        672.03 17123.5423    17123.6   4.0 1 1 1.20
	        693.02 17078.3602    17078.3   4.0 1 1 0.70
	        725.39 17008.6682    17008.8   4.0 1 1 1.80
	        750.25 16955.1162    16955.1   4.0 1 1 0.52
	        774.12 16903.6593    16903.7   4.0 1 1 1.45
	        803.43 16840.4677    16840.5   4.0 1 1 0.30
	        864.36 16709.0191    16708.8   4.0 1 1 0.83
	        872.16 16692.1761    16692.1   4.0 1 1 2.30
	        936.22 16553.8273    16553.9   4.0 1 1 0.30
	        959.96 16502.5222    16502.3   4.0 1 1 0.75
	        987.71 16442.5324    16442.1   4.0 1 1 
	       1012.62 16388.6475    16388.5   4.0 1 1 0.25
	       1029.96 16351.1462    16351.3   4.0 1 1 0.65
	       1045.73 16317.0182    16317.2   4.0 1 1 0.28
	       1083.59 16235.0801    16235.4   4.0 1 1 1.27
	       1102.30 16194.5502    16194.7   4.0 1 1 0.63
	       1132.77   16128.57    16128.6   4.0 1 1 1.71
	       1155.39  16079.549    16079.8   4.0 1 1 0.65
	       1177.88 16030.8064    16030.8   4.0 1 1 1.53
	       1204.71 15972.6441    15972.6   4.0 1 1 0.50
	       1262.23  15847.904    15848.1   4.0 1 1 0.90
	       1269.12 15832.9569    15833.2   4.0 1 1 2.30
	       1350.96 15655.3273     15655.   4.0 1 1 1.05
	       1361.86 15631.6504    15631.6   4.0 1 1 0.35
	       1377.52 15597.6469    15597.7   4.0 1 1 0.70
	       1403.63 15540.9304    15540.4   4.0 1 1 0.55
	       1453.71 15432.1119    15432.1   4.0 1 1 1.08
	       1470.65 15395.2892    15395.3   4.0 1 1 0.40
	       1499.55 15332.4617    15332.4   4.0 1 1 1.15
	       1520.11 15287.7639    15287.8   4.0 1 1 0.58
	       1541.64 15240.9429     15241.   4.0 1 1 1.41
	       1566.46 15186.9477     15187.   4.0 1 1 0.38
	       1620.66 15069.0191    15068.9   4.0 1 1 0.66
	       1626.92 15055.4054    15055.5   4.0 1 1 1.95
	       1704.07 14887.4726    14887.7   4.0 1 1 0.78
	       1729.14 14832.8669     14833.   4.0 1 1 0.62
	       1790.75  14698.691    14698.4   4.0 1 1 0.35
	       1833.76 14604.9842    14604.8   4.0 1 1 0.35
	       1852.58 14563.9554     14564.   4.0 1 1 0.35
	       1873.34  14518.727     14519.   4.0 1 1 0.60
	       1947.66 14356.7201    14356.7   4.0 1 1 
	       2025.94 14186.0445    14186.1   4.0 1 1 0.20
	       2036.51 14162.9902    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.569710082075
		3093.661934820452
		2850.347838737458
		2604.155558252391
		2356.414716274199
		2108.113044658818

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,88]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,88]
	units	Angstroms
	features	52
	        207.71 18118.5188    18118.5   4.0 1 1 0.50
	        266.05 17993.9814     17994.   4.0 1 1 1.42
	        319.26 17880.2629    17880.3   4.0 1 1 1.20
	        416.55 17672.0302    17671.8   4.0 1 1 0.70
	        425.42 17653.0168    17653.2   4.0 1 1 2.00
	        520.14 17449.8952    17449.9   4.0 1 1 0.72
	        575.58 17330.8519    17330.9   4.0 1 1 0.32
	        613.90 17248.4995    17248.6   4.0 1 1 0.70
	        631.58 17210.4874    17210.4   4.0 1 1 0.36
	        671.90 17123.7564    17123.6   4.0 1 1 1.20
	        692.94 17078.4694    17078.3   4.0 1 1 0.70
	        725.37  17008.639    17008.8   4.0 1 1 1.80
	        750.34 16954.8499    16955.1   4.0 1 1 0.52
	        774.08 16903.6858    16903.7   4.0 1 1 1.45
	        803.37 16840.5308    16840.5   4.0 1 1 0.30
	        864.41 16708.8513    16708.8   4.0 1 1 0.83
	        872.13 16692.1742    16692.1   4.0 1 1 2.30
	        936.29 16553.6075    16553.9   4.0 1 1 0.30
	        959.94 16502.5009    16502.3   4.0 1 1 0.75
	        987.69 16442.5112    16442.1   4.0 1 1 
	       1012.56  16388.737    16388.5   4.0 1 1 0.25
	       1029.90 16351.2212    16351.3   4.0 1 1 0.65
	       1045.73 16316.9691    16317.2   4.0 1 1 0.28
	       1083.42 16235.3908    16235.4   4.0 1 1 1.27
	       1102.27 16194.5881    16194.7   4.0 1 1 0.63
	       1132.80  16128.457    16128.6   4.0 1 1 1.71
	       1155.29 16079.7446    16079.8   4.0 1 1 0.65
	       1177.93 16030.6707    16030.8   4.0 1 1 1.53
	       1204.67 15972.7233    15972.6   4.0 1 1 0.50
	       1262.19 15847.9687    15848.1   4.0 1 1 0.90
	       1269.05 15833.0794    15833.2   4.0 1 1 2.30
	       1350.97 15655.2868     15655.   4.0 1 1 1.05
	       1361.97 15631.4012    15631.6   4.0 1 1 0.35
	       1377.47   15597.74    15597.7   4.0 1 1 0.70
	       1403.73 15540.7114    15540.4   4.0 1 1 0.55
	       1453.71 15432.0938    15432.1   4.0 1 1 1.08
	       1470.60 15395.3857    15395.3   4.0 1 1 0.40
	       1499.53 15332.4939    15332.4   4.0 1 1 1.15
	       1520.15  15287.664    15287.8   4.0 1 1 0.58
	       1541.63 15240.9643     15241.   4.0 1 1 1.41
	       1566.40 15187.0821     15187.   4.0 1 1 0.38
	       1620.69 15068.9561    15068.9   4.0 1 1 0.66
	       1626.96 15055.3078    15055.5   4.0 1 1 1.95
	       1704.07 14887.4612    14887.7   4.0 1 1 0.78
	       1729.17 14832.8164     14833.   4.0 1 1 0.62
	       1790.69 14698.8207    14698.4   4.0 1 1 0.35
	       1833.74  14605.022    14604.8   4.0 1 1 0.35
	       1852.57 14563.9805     14564.   4.0 1 1 0.35
	       1873.37  14518.658     14519.   4.0 1 1 0.60
	       1947.60 14356.8546    14356.7   4.0 1 1 
	       2026.02  14185.877    14186.1   4.0 1 1 0.20
	       2036.49 14163.0522    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.551741892462
		3093.692293626463
		2850.323977810276
		2604.160973417064
		2356.407855357514
		2108.151326198716

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,89]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,89]
	units	Angstroms
	features	52
	        207.64 18118.4662    18118.5   4.0 1 1 0.50
	        265.95 17994.0457     17994.   4.0 1 1 1.42
	        319.18 17880.3324    17880.3   4.0 1 1 1.20
	        416.65 17671.7548    17671.8   4.0 1 1 0.70
	        425.34 17653.1425    17653.2   4.0 1 1 2.00
	        520.05 17450.0617    17449.9   4.0 1 1 0.72
	        575.59 17330.7875    17330.9   4.0 1 1 0.32
	        613.83 17248.5913    17248.6   4.0 1 1 0.70
	        631.49 17210.6153    17210.4   4.0 1 1 0.36
	        671.98 17123.5185    17123.6   4.0 1 1 1.20
	        693.01 17078.2562    17078.3   4.0 1 1 0.70
	        725.33  17008.647    17008.8   4.0 1 1 1.80
	        750.25 16954.9777    16955.1   4.0 1 1 0.52
	        774.09 16903.5825    16903.7   4.0 1 1 1.45
	        803.37 16840.4617    16840.5   4.0 1 1 0.30
	        864.38 16708.8364    16708.8   4.0 1 1 0.83
	        872.06 16692.2694    16692.1   4.0 1 1 2.30
	        936.09 16553.9861    16553.9   4.0 1 1 0.30
	        959.83 16502.6854    16502.3   4.0 1 1 0.75
	        987.71 16442.4119    16442.1   4.0 1 1 
	       1012.60 16388.5763    16388.5   4.0 1 1 0.25
	       1029.89 16351.1885    16351.3   4.0 1 1 0.65
	       1045.70 16316.9715    16317.2   4.0 1 1 0.28
	       1083.47  16235.246    16235.4   4.0 1 1 1.27
	       1102.27 16194.5422    16194.7   4.0 1 1 0.63
	       1132.70 16128.6287    16128.6   4.0 1 1 1.71
	       1155.36 16079.5452    16079.8   4.0 1 1 0.65
	       1177.89  16030.733    16030.8   4.0 1 1 1.53
	       1204.68 15972.6536    15972.6   4.0 1 1 0.50
	       1262.12 15848.1017    15848.1   4.0 1 1 0.90
	       1269.00 15833.1614    15833.2   4.0 1 1 2.30
	       1350.93 15655.3552     15655.   4.0 1 1 1.05
	       1361.96 15631.4114    15631.6   4.0 1 1 0.35
	       1377.49 15597.6669    15597.7   4.0 1 1 0.70
	       1403.84 15540.4439    15540.4   4.0 1 1 0.55
	       1453.64 15432.2424    15432.1   4.0 1 1 1.08
	       1470.65 15395.2717    15395.3   4.0 1 1 0.40
	       1499.51  15332.524    15332.4   4.0 1 1 1.15
	       1520.17 15287.6047    15287.8   4.0 1 1 0.58
	       1541.58 15241.0359     15241.   4.0 1 1 1.41
	       1566.39 15187.0839     15187.   4.0 1 1 0.38
	       1620.70 15068.8985    15068.9   4.0 1 1 0.66
	       1626.89 15055.4412    15055.5   4.0 1 1 1.95
	       1704.01 14887.5465    14887.7   4.0 1 1 0.78
	       1729.12  14832.881     14833.   4.0 1 1 0.62
	       1790.71 14698.7181    14698.4   4.0 1 1 0.35
	       1833.74 14604.9655    14604.8   4.0 1 1 0.35
	       1852.56 14563.9564     14564.   4.0 1 1 0.35
	       1873.32 14518.6962     14519.   4.0 1 1 0.60
	       1947.59 14356.8084    14356.7   4.0 1 1 
	       2025.99 14185.8539    14186.1   4.0 1 1 0.20
	       2036.42 14163.1157    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.724107108906
		3093.729023591641
		2850.296357483179
		2604.166290032624
		2356.391712514218
		2108.117082995343

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,90]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,90]
	units	Angstroms
	features	52
	        207.69 18118.4155    18118.5   4.0 1 1 0.50
	        265.94 17994.0991     17994.   4.0 1 1 1.42
	        319.16 17880.3763    17880.3   4.0 1 1 1.20
	        416.62 17671.8084    17671.8   4.0 1 1 0.70
	        425.36 17653.0841    17653.2   4.0 1 1 2.00
	        520.11 17449.9056    17449.9   4.0 1 1 0.72
	        575.54 17330.8865    17330.9   4.0 1 1 0.32
	        613.84 17248.5702    17248.6   4.0 1 1 0.70
	        631.50 17210.6012    17210.4   4.0 1 1 0.36
	        671.94 17123.6024    17123.6   4.0 1 1 1.20
	        693.01 17078.2726    17078.3   4.0 1 1 0.70
	        725.36 17008.6041    17008.8   4.0 1 1 1.80
	        750.28 16954.9284    16955.1   4.0 1 1 0.52
	        774.10 16903.5817    16903.7   4.0 1 1 1.45
	        803.32 16840.6007    16840.5   4.0 1 1 0.30
	        864.36 16708.9055    16708.8   4.0 1 1 0.83
	        872.11 16692.1846    16692.1   4.0 1 1 2.30
	        936.12 16553.9393    16553.9   4.0 1 1 0.30
	        960.01 16502.3148    16502.3   4.0 1 1 0.75
	        987.67  16442.517    16442.1   4.0 1 1 
	       1012.60 16388.6041    16388.5   4.0 1 1 0.25
	       1029.81 16351.3875    16351.3   4.0 1 1 0.65
	       1045.72 16316.9522    16317.2   4.0 1 1 0.28
	       1083.42 16235.3609    16235.4   4.0 1 1 1.27
	       1102.29 16194.5127    16194.7   4.0 1 1 0.63
	       1132.76 16128.5097    16128.6   4.0 1 1 1.71
	       1155.33 16079.6195    16079.8   4.0 1 1 0.65
	       1177.85 16030.8242    16030.8   4.0 1 1 1.53
	       1204.69 15972.6338    15972.6   4.0 1 1 0.50
	       1262.17 15847.9907    15848.1   4.0 1 1 0.90
	       1269.04 15833.0707    15833.2   4.0 1 1 2.30
	       1350.92 15655.3697     15655.   4.0 1 1 1.05
	       1361.93 15631.4548    15631.6   4.0 1 1 0.35
	       1377.49 15597.6591    15597.7   4.0 1 1 0.70
	       1403.72 15540.6845    15540.4   4.0 1 1 0.55
	       1453.63 15432.2377    15432.1   4.0 1 1 1.08
	       1470.60 15395.3433    15395.3   4.0 1 1 0.40
	       1499.56 15332.3901    15332.4   4.0 1 1 1.15
	       1520.16 15287.5923    15287.8   4.0 1 1 0.58
	       1541.57 15241.0367     15241.   4.0 1 1 1.41
	       1566.39 15187.0348     15187.   4.0 1 1 0.38
	       1620.71 15068.8401    15068.9   4.0 1 1 0.66
	       1626.85  15055.473    15055.5   4.0 1 1 1.95
	       1704.08 14887.3551    14887.7   4.0 1 1 0.78
	       1729.11 14832.8558     14833.   4.0 1 1 0.62
	       1790.70 14698.7019    14698.4   4.0 1 1 0.35
	       1833.72 14604.9937    14604.8   4.0 1 1 0.35
	       1852.53 14563.9926     14564.   4.0 1 1 0.35
	       1873.22 14518.9032     14519.   4.0 1 1 0.60
	       1947.57 14356.8658    14356.7   4.0 1 1 
	       2026.06  14185.774    14186.1   4.0 1 1 0.20
	       2036.47 14163.0776    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.091537963026
		3093.701523474407
		2850.306172853782
		2604.16572046945
		2356.370119829595
		2108.290646086446

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,91]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,91]
	units	Angstroms
	features	52
	        207.66  18118.484    18118.5   4.0 1 1 0.50
	        265.99  17993.981     17994.   4.0 1 1 1.42
	        319.13 17880.3969    17880.3   4.0 1 1 1.20
	        416.56 17671.8854    17671.8   4.0 1 1 0.70
	        425.39 17652.9704    17653.2   4.0 1 1 2.00
	        519.98 17450.1046    17449.9   4.0 1 1 0.72
	        575.55 17330.7755    17330.9   4.0 1 1 0.32
	        613.82 17248.5356    17248.6   4.0 1 1 0.70
	        631.47  17210.583    17210.4   4.0 1 1 0.36
	        671.91 17123.5879    17123.6   4.0 1 1 1.20
	        693.00  17078.195    17078.3   4.0 1 1 0.70
	        725.27 17008.7082    17008.8   4.0 1 1 1.80
	        750.22 16954.9639    16955.1   4.0 1 1 0.52
	        774.05 16903.6141    16903.7   4.0 1 1 1.45
	        803.28 16840.5978    16840.5   4.0 1 1 0.30
	        864.36 16708.8156    16708.8   4.0 1 1 0.83
	        872.06 16692.2073    16692.1   4.0 1 1 2.30
	        936.12 16553.8688    16553.9   4.0 1 1 0.30
	        959.82 16502.6431    16502.3   4.0 1 1 0.75
	        987.65 16442.4915    16442.1   4.0 1 1 
	       1012.59  16388.552    16388.5   4.0 1 1 0.25
	       1029.81 16351.3039    16351.3   4.0 1 1 0.65
	       1045.65 16317.0436    16317.2   4.0 1 1 0.28
	       1083.49 16235.1459    16235.4   4.0 1 1 1.27
	       1102.23 16194.5833    16194.7   4.0 1 1 0.63
	       1132.75 16128.4745    16128.6   4.0 1 1 1.71
	       1155.36  16079.492    16079.8   4.0 1 1 0.65
	       1177.84 16030.7887    16030.8   4.0 1 1 1.53
	       1204.64 15972.6937    15972.6   4.0 1 1 0.50
	       1262.11 15848.0584    15848.1   4.0 1 1 0.90
	       1269.01 15833.0904    15833.2   4.0 1 1 2.30
	       1350.90 15655.3642     15655.   4.0 1 1 1.05
	       1361.93 15631.4115    15631.6   4.0 1 1 0.35
	       1377.48 15597.6441    15597.7   4.0 1 1 0.70
	       1403.67 15540.7485    15540.4   4.0 1 1 0.55
	       1453.62 15432.2292    15432.1   4.0 1 1 1.08
	       1470.58 15395.3489    15395.3   4.0 1 1 0.40
	       1499.51 15332.4571    15332.4   4.0 1 1 1.15
	       1520.14 15287.5918    15287.8   4.0 1 1 0.58
	       1541.58 15240.9739     15241.   4.0 1 1 1.41
	       1566.42 15186.9302     15187.   4.0 1 1 0.38
	       1620.65 15068.9508    15068.9   4.0 1 1 0.66
	       1626.82 15055.5176    15055.5   4.0 1 1 1.95
	       1704.04  14887.423    14887.7   4.0 1 1 0.78
	       1729.05 14832.9458     14833.   4.0 1 1 0.62
	       1790.70 14698.6764    14698.4   4.0 1 1 0.35
	       1833.72 14604.9486    14604.8   4.0 1 1 0.35
	       1852.58 14563.8517     14564.   4.0 1 1 0.35
	       1873.21 14518.8993     14519.   4.0 1 1 0.60
	       1947.57 14356.8099    14356.7   4.0 1 1 
	       2025.98 14185.8754    14186.1   4.0 1 1 0.20
	       2036.44 14163.0664    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.294858117221
		3093.698802865016
		2850.286023954686
		2604.162619596405
		2356.363853620551
		2108.249793250484

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,92]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,92]
	units	Angstroms
	features	51
	        207.63 18118.4611    18118.5   4.0 1 1 0.50
	        265.91  17994.046     17994.   4.0 1 1 1.42
	        319.12 17880.3377    17880.3   4.0 1 1 1.20
	        416.53 17671.9019    17671.8   4.0 1 1 0.70
	        425.34 17653.0188    17653.2   4.0 1 1 2.00
	        520.05 17449.9458    17449.9   4.0 1 1 0.72
	        575.51 17330.8778    17330.9   4.0 1 1 0.32
	        631.48 17210.5937    17210.4   4.0 1 1 0.70
	        671.97 17123.5097    17123.6   4.0 1 1 0.36
	        692.99 17078.2675    17078.3   4.0 1 1 1.20
	        725.32 17008.6698    17008.8   4.0 1 1 0.70
	        750.23 16955.0078    16955.1   4.0 1 1 1.80
	        774.04 16903.6857    16903.7   4.0 1 1 0.52
	        803.37 16840.4567    16840.5   4.0 1 1 1.45
	        864.48 16708.6283    16708.8   4.0 1 1 0.30
	        872.03 16692.3313    16692.1   4.0 1 1 0.83
	        936.19 16553.7621    16553.9   4.0 1 1 2.30
	        959.91 16502.4961    16502.3   4.0 1 1 0.30
	        987.64 16442.5525    16442.1   4.0 1 1 0.75
	       1012.55 16388.6928    16388.5   4.0 1 1 
	       1029.76 16351.4633    16351.3   4.0 1 1 0.25
	       1045.66 16317.0605    16317.2   4.0 1 1 0.65
	       1083.51 16235.1258    16235.4   4.0 1 1 0.28
	       1102.20 16194.6669    16194.7   4.0 1 1 1.27
	       1132.74 16128.5096    16128.6   4.0 1 1 0.63
	       1155.32 16079.5906    16079.8   4.0 1 1 1.71
	       1177.83 16030.8178    16030.8   4.0 1 1 0.65
	       1204.73 15972.5021    15972.6   4.0 1 1 1.53
	       1262.16 15847.9475    15848.1   4.0 1 1 0.50
	       1269.02 15833.0569    15833.2   4.0 1 1 0.90
	       1350.92 15655.3029     15655.   4.0 1 1 2.30
	       1361.91 15631.4458    15631.6   4.0 1 1 1.05
	       1377.38 15597.8409    15597.7   4.0 1 1 0.35
	       1403.73 15540.6142    15540.4   4.0 1 1 0.70
	       1453.64 15432.1466    15432.1   4.0 1 1 0.55
	       1470.60 15395.2992    15395.3   4.0 1 1 1.08
	       1499.52 15332.4201    15332.4   4.0 1 1 0.40
	       1520.11 15287.6503    15287.8   4.0 1 1 1.15
	       1541.59 15240.9349     15241.   4.0 1 1 0.58
	       1566.31 15187.1673     15187.   4.0 1 1 1.41
	       1620.64 15068.9453    15068.9   4.0 1 1 0.38
	       1626.81 15055.5266    15055.5   4.0 1 1 0.66
	       1704.02 14887.4388    14887.7   4.0 1 1 1.95
	       1729.09  14832.838     14833.   4.0 1 1 0.78
	       1790.65 14698.7474    14698.4   4.0 1 1 0.62
	       1833.71  14604.931    14604.8   4.0 1 1 0.35
	       1852.57 14563.8299     14564.   4.0 1 1 0.35
	       1873.22 14518.8217     14519.   4.0 1 1 0.35
	       1947.50 14356.8782    14356.7   4.0 1 1 0.60
	       2025.91 14185.8847    14186.1   4.0 1 1 
	       2036.38 14163.0519    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.585627461545
		3093.625228215497
		2850.320895098917
		2604.143089188963
		2356.386021206698
		2108.01130185857

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,93]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,93]
	units	Angstroms
	features	51
	        207.61  18118.519    18118.5   4.0 1 1 0.50
	        265.94 17993.9868     17994.   4.0 1 1 1.42
	        319.14 17880.2716    17880.3   4.0 1 1 1.20
	        416.46 17671.9573    17671.8   4.0 1 1 0.70
	        425.31 17653.0027    17653.2   4.0 1 1 2.00
	        519.93 17450.0801    17449.9   4.0 1 1 0.72
	        575.46 17330.8574    17330.9   4.0 1 1 0.32
	        613.80 17248.4648    17248.6   4.0 1 1 0.70
	        631.50 17210.4206    17210.4   4.0 1 1 0.36
	        671.81 17123.6999    17123.6   4.0 1 1 1.20
	        692.88 17078.3572    17078.3   4.0 1 1 0.70
	        725.26 17008.6394    17008.8   4.0 1 1 1.80
	        750.16 16955.0067    16955.1   4.0 1 1 0.52
	        773.97 16903.7008    16903.7   4.0 1 1 1.45
	        803.37 16840.3403    16840.5   4.0 1 1 0.30
	        864.34 16708.8084    16708.8   4.0 1 1 0.83
	        872.02 16692.2323    16692.1   4.0 1 1 2.30
	        936.00 16554.0867    16553.9   4.0 1 1 0.30
	        959.86  16502.521    16502.3   4.0 1 1 0.75
	        987.68 16442.3899    16442.1   4.0 1 1 
	       1012.51 16388.7087    16388.5   4.0 1 1 0.25
	       1029.79 16351.3241    16351.3   4.0 1 1 0.65
	       1045.64 16317.0385    16317.2   4.0 1 1 0.28
	       1083.53 16235.0386    16235.4   4.0 1 1 1.27
	       1102.25 16194.5131    16194.7   4.0 1 1 0.63
	       1132.69 16128.5978    16128.6   4.0 1 1 1.71
	       1155.29 16079.6361    16079.8   4.0 1 1 0.65
	       1177.84 16030.7865    16030.8   4.0 1 1 1.53
	       1204.74 15972.4702    15972.6   4.0 1 1 0.50
	       1262.16 15847.9507    15848.1   4.0 1 1 0.90
	       1269.03  15833.048    15833.2   4.0 1 1 2.30
	       1350.98 15655.1742     15655.   4.0 1 1 1.05
	       1361.78 15631.7134    15631.6   4.0 1 1 0.35
	       1377.48 15597.6255    15597.7   4.0 1 1 0.70
	       1403.59 15540.9053    15540.4   4.0 1 1 0.55
	       1453.66 15432.0974    15432.1   4.0 1 1 1.08
	       1470.57 15395.3455    15395.3   4.0 1 1 0.40
	       1499.48 15332.4776    15332.4   4.0 1 1 1.15
	       1520.07 15287.6992    15287.8   4.0 1 1 0.58
	       1541.56 15240.9531     15241.   4.0 1 1 1.41
	       1566.40 15186.9314     15187.   4.0 1 1 0.38
	       1620.64 15068.8928    15068.9   4.0 1 1 0.66
	       1626.76 15055.5759    15055.5   4.0 1 1 1.95
	       1703.99 14887.4346    14887.7   4.0 1 1 0.78
	       1729.04 14832.8781     14833.   4.0 1 1 0.62
	       1790.58  14698.839    14698.4   4.0 1 1 0.35
	       1833.70 14604.9091    14604.8   4.0 1 1 0.35
	       1852.54  14563.843     14564.   4.0 1 1 0.35
	       1873.25 14518.7206     14519.   4.0 1 1 0.60
	       1947.54 14356.8275    14356.7   4.0 1 1 
	       2025.87 14186.1017    14186.1   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.680651965962
		3093.65250555141
		2850.270652760671
		2604.174270531311
		2356.315315971259
		2108.442715751083

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,94]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,94]
	units	Angstroms
	features	52
	        207.57 18118.4702    18118.5   4.0 1 1 0.50
	        265.87  17994.089     17994.   4.0 1 1 1.42
	        319.13 17880.2914    17880.3   4.0 1 1 1.20
	        416.55 17671.8262    17671.8   4.0 1 1 0.70
	        425.35 17652.9771    17653.2   4.0 1 1 2.00
	        520.01 17449.9856    17449.9   4.0 1 1 0.72
	        575.44 17330.9468    17330.9   4.0 1 1 0.32
	        613.71 17248.6801    17248.6   4.0 1 1 0.70
	        631.45 17210.5355    17210.4   4.0 1 1 0.36
	        671.86 17123.6061    17123.6   4.0 1 1 1.20
	        692.94 17078.2304    17078.3   4.0 1 1 0.70
	        725.28 17008.5996    17008.8   4.0 1 1 1.80
	        750.15 16955.0278    16955.1   4.0 1 1 0.52
	        773.95 16903.7382    16903.7   4.0 1 1 1.45
	        803.28 16840.4982    16840.5   4.0 1 1 0.30
	        864.34 16708.7736    16708.8   4.0 1 1 0.83
	        872.03 16692.1648    16692.1   4.0 1 1 2.30
	        936.19 16553.6286    16553.9   4.0 1 1 0.30
	        959.81 16502.5896    16502.3   4.0 1 1 0.75
	        987.58 16442.5599    16442.1   4.0 1 1 
	       1012.54 16388.5928    16388.5   4.0 1 1 0.25
	       1029.78 16351.3077    16351.3   4.0 1 1 0.65
	       1045.59 16317.1114    16317.2   4.0 1 1 0.28
	       1083.37 16235.3508    16235.4   4.0 1 1 1.27
	       1102.26 16194.4578    16194.7   4.0 1 1 0.63
	       1132.66 16128.6099    16128.6   4.0 1 1 1.71
	       1155.38 16079.4041    16079.8   4.0 1 1 0.65
	       1177.83 16030.7683    16030.8   4.0 1 1 1.53
	       1204.70 15972.5321    15972.6   4.0 1 1 0.50
	       1262.08  15848.106    15848.1   4.0 1 1 0.90
	       1268.91 15833.2775    15833.2   4.0 1 1 2.30
	       1350.92 15655.3084     15655.   4.0 1 1 1.05
	       1361.93 15631.3872    15631.6   4.0 1 1 0.35
	       1377.44 15597.7244    15597.7   4.0 1 1 0.70
	       1403.67 15540.7299    15540.4   4.0 1 1 0.55
	       1453.57 15432.3056    15432.1   4.0 1 1 1.08
	       1470.54  15395.423    15395.3   4.0 1 1 0.40
	       1499.79 15331.8502    15332.4   4.0 1 1 1.15
	       1520.11 15287.6491    15287.8   4.0 1 1 0.58
	       1541.54 15241.0378     15241.   4.0 1 1 1.41
	       1566.36  15187.064     15187.   4.0 1 1 0.38
	       1620.62 15068.9996    15068.9   4.0 1 1 0.66
	       1626.82 15055.5009    15055.5   4.0 1 1 1.95
	       1703.95 14887.5734    14887.7   4.0 1 1 0.78
	       1729.00 14833.0166     14833.   4.0 1 1 0.62
	       1790.64 14698.7522    14698.4   4.0 1 1 0.35
	       1833.69 14604.9258    14604.8   4.0 1 1 0.35
	       1852.54 14563.8545     14564.   4.0 1 1 0.35
	       1873.26 14518.6969     14519.   4.0 1 1 0.60
	       1947.55 14356.7196    14356.7   4.0 1 1 
	       2025.88 14185.9062    14186.1   4.0 1 1 0.20
	       2036.32 14163.1378    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.617802947903
		3093.726330563757
		2850.254184174541
		2604.167808649865
		2356.355766719899
		2108.077232690354

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,95]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,95]
	units	Angstroms
	features	51
	        207.54 18118.4785    18118.5   4.0 1 1 0.50
	        265.85 17994.0779     17994.   4.0 1 1 1.42
	        319.11 17880.2878    17880.3   4.0 1 1 1.20
	        416.51  17671.855    17671.8   4.0 1 1 0.70
	        425.35 17652.9324    17653.2   4.0 1 1 2.00
	        519.94 17450.0892    17449.9   4.0 1 1 0.72
	        575.46 17330.8535    17330.9   4.0 1 1 0.32
	        613.73 17248.6022    17248.6   4.0 1 1 0.70
	        631.44 17210.5417    17210.4   4.0 1 1 0.36
	        671.81 17123.6839    17123.6   4.0 1 1 1.20
	        692.94 17078.2095    17078.3   4.0 1 1 0.70
	        725.27 17008.6027    17008.8   4.0 1 1 1.80
	        750.07 16955.1812    16955.1   4.0 1 1 0.52
	        774.02 16903.5712    16903.7   4.0 1 1 1.45
	        803.25 16840.5391    16840.5   4.0 1 1 0.30
	        864.24 16708.9818    16708.8   4.0 1 1 0.83
	        872.11 16692.0021    16692.1   4.0 1 1 2.30
	        936.06  16553.903    16553.9   4.0 1 1 0.30
	        959.83 16502.5386    16502.3   4.0 1 1 0.75
	        987.68 16442.3362    16442.1   4.0 1 1 
	       1012.53 16388.6091    16388.5   4.0 1 1 0.25
	       1029.80 16351.2638    16351.3   4.0 1 1 0.65
	       1045.73 16316.8038    16317.2   4.0 1 1 0.28
	       1083.44 16235.1836    16235.4   4.0 1 1 1.27
	       1102.22 16194.5416    16194.7   4.0 1 1 0.63
	       1132.65 16128.6464    16128.6   4.0 1 1 1.71
	       1155.22 16079.7606    16079.8   4.0 1 1 0.65
	       1177.84 16030.7413    16030.8   4.0 1 1 1.53
	       1204.64 15972.6463    15972.6   4.0 1 1 0.50
	       1262.05 15848.1552    15848.1   4.0 1 1 0.90
	       1268.94 15833.1988    15833.2   4.0 1 1 2.30
	       1350.92 15655.2744     15655.   4.0 1 1 1.05
	       1361.88 15631.4858    15631.6   4.0 1 1 0.35
	       1377.45  15597.664    15597.7   4.0 1 1 0.70
	       1403.72 15540.5951    15540.4   4.0 1 1 0.55
	       1453.63 15432.1328    15432.1   4.0 1 1 1.08
	       1470.50 15395.4635    15395.3   4.0 1 1 0.40
	       1499.53 15332.3402    15332.4   4.0 1 1 1.15
	       1520.07 15287.6832    15287.8   4.0 1 1 0.58
	       1541.56 15240.9268     15241.   4.0 1 1 1.41
	       1620.62 15068.8959    15068.9   4.0 1 1 0.38
	       1626.82 15055.4179    15055.5   4.0 1 1 0.66
	       1703.96 14887.4704    14887.7   4.0 1 1 1.95
	       1729.02 14832.8915     14833.   4.0 1 1 0.78
	       1790.57 14698.8121    14698.4   4.0 1 1 0.62
	       1833.61 14605.0511    14604.8   4.0 1 1 0.35
	       1852.47 14563.9599     14564.   4.0 1 1 0.35
	       1873.26 14518.6547     14519.   4.0 1 1 0.35
	       1947.51 14356.8359    14356.7   4.0 1 1 0.60
	       2025.98 14185.8009    14186.1   4.0 1 1 
	       2036.39  14163.126    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.603240454736
		3093.71388337623
		2850.248650093694
		2604.176750927721
		2356.300646333564
		2108.436596312956

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,96]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,96]
	units	Angstroms
	features	52
	        207.57 18118.4449    18118.5   4.0 1 1 0.50
	        265.85 17994.0954     17994.   4.0 1 1 1.42
	        319.11 17880.3007    17880.3   4.0 1 1 1.20
	        416.49 17671.8808    17671.8   4.0 1 1 0.70
	        425.31 17652.9968    17653.2   4.0 1 1 2.00
	        519.91 17450.1115    17449.9   4.0 1 1 0.72
	        575.40 17330.9452    17330.9   4.0 1 1 0.32
	        613.79 17248.4356    17248.6   4.0 1 1 0.70
	        631.50 17210.3459    17210.4   4.0 1 1 0.36
	        671.78 17123.6819    17123.6   4.0 1 1 1.20
	        692.86 17078.3259    17078.3   4.0 1 1 0.70
	        725.21  17008.663    17008.8   4.0 1 1 1.80
	        750.15  16954.939    16955.1   4.0 1 1 0.52
	        773.87 16903.8175    16903.7   4.0 1 1 1.45
	        803.31 16840.3504    16840.5   4.0 1 1 0.30
	        864.30 16708.7884    16708.8   4.0 1 1 0.83
	        871.97 16692.2355    16692.1   4.0 1 1 2.30
	        935.96 16554.0469    16553.9   4.0 1 1 0.30
	        959.83 16502.4671    16502.3   4.0 1 1 0.75
	        987.67  16442.294    16442.1   4.0 1 1 
	       1012.50 16388.6181    16388.5   4.0 1 1 0.25
	       1029.73 16351.3334    16351.3   4.0 1 1 0.65
	       1045.62 16316.9587    16317.2   4.0 1 1 0.28
	       1083.38 16235.2478    16235.4   4.0 1 1 1.27
	       1102.17 16194.5771    16194.7   4.0 1 1 0.63
	       1132.68 16128.5072    16128.6   4.0 1 1 1.71
	       1155.21 16079.6977    16079.8   4.0 1 1 0.65
	       1177.76 16030.8392    16030.8   4.0 1 1 1.53
	       1204.61 15972.6582    15972.6   4.0 1 1 0.50
	       1262.09 15848.0101    15848.1   4.0 1 1 0.90
	       1268.88 15833.2813    15833.2   4.0 1 1 2.30
	       1350.94  15655.176     15655.   4.0 1 1 1.05
	       1361.90 15631.3817    15631.6   4.0 1 1 0.35
	       1377.38  15597.757    15597.7   4.0 1 1 0.70
	       1403.69 15540.6052    15540.4   4.0 1 1 0.55
	       1453.58 15432.2024    15432.1   4.0 1 1 1.08
	       1470.55 15395.3031    15395.3   4.0 1 1 0.40
	       1499.49 15332.3876    15332.4   4.0 1 1 1.15
	       1520.02 15287.7451    15287.8   4.0 1 1 0.58
	       1541.55 15240.9279     15241.   4.0 1 1 1.41
	       1566.35 15186.9706     15187.   4.0 1 1 0.38
	       1620.63 15068.8489    15068.9   4.0 1 1 0.66
	       1626.78 15055.4746    15055.5   4.0 1 1 1.95
	       1703.95 14887.4593    14887.7   4.0 1 1 0.78
	       1728.99 14832.9281     14833.   4.0 1 1 0.62
	       1790.53 14698.8828    14698.4   4.0 1 1 0.35
	       1833.67 14604.8929    14604.8   4.0 1 1 0.35
	       1852.49  14563.886     14564.   4.0 1 1 0.35
	       1873.17 14518.8076     14519.   4.0 1 1 0.60
	       1947.49 14356.8486    14356.7   4.0 1 1 
	       2025.87 14185.9852    14186.1   4.0 1 1 0.20
	       2036.45 14162.9344    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.705679597787
		3093.722404096998
		2850.234668749804
		2604.166156556015
		2356.30482460557
		2108.365181821812

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,97]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,97]
	units	Angstroms
	features	52
	        207.57 18118.4535    18118.5   4.0 1 1 0.50
	        265.88 17994.0012     17994.   4.0 1 1 1.42
	        319.04 17880.4097    17880.3   4.0 1 1 1.20
	        416.51 17671.8001    17671.8   4.0 1 1 0.70
	        425.21 17653.1523    17653.2   4.0 1 1 2.00
	        519.93 17450.0175    17449.9   4.0 1 1 0.72
	        575.40 17330.8947    17330.9   4.0 1 1 0.32
	        613.77 17248.4272    17248.6   4.0 1 1 0.70
	        631.48 17210.3298    17210.4   4.0 1 1 0.36
	        671.78 17123.6443    17123.6   4.0 1 1 1.20
	        692.78 17078.4351    17078.3   4.0 1 1 0.70
	        725.28 17008.4573    17008.8   4.0 1 1 1.80
	        750.11 16954.9635    16955.1   4.0 1 1 0.52
	        773.82 16903.8674    16903.7   4.0 1 1 1.45
	        803.16  16840.617    16840.5   4.0 1 1 0.30
	        864.31 16708.7074    16708.8   4.0 1 1 0.83
	        871.94 16692.2335    16692.1   4.0 1 1 2.30
	        935.99 16553.9311    16553.9   4.0 1 1 0.30
	        959.85 16502.3706    16502.3   4.0 1 1 0.75
	        987.57  16442.471    16442.1   4.0 1 1 
	       1012.45  16388.669    16388.5   4.0 1 1 0.25
	       1029.66 16351.4351    16351.3   4.0 1 1 0.65
	       1045.55 16317.0759    16317.2   4.0 1 1 0.28
	       1083.43 16235.0967    16235.4   4.0 1 1 1.27
	       1102.16 16194.5501    16194.7   4.0 1 1 0.63
	       1132.65 16128.5216    16128.6   4.0 1 1 1.71
	       1155.23 16079.6219    16079.8   4.0 1 1 0.65
	       1177.79 16030.7325    16030.8   4.0 1 1 1.53
	       1204.57 15972.6885    15972.6   4.0 1 1 0.50
	       1262.09 15847.9574    15848.1   4.0 1 1 0.90
	       1268.92 15833.1451    15833.2   4.0 1 1 2.30
	       1350.83  15655.352     15655.   4.0 1 1 1.05
	       1361.80 15631.5365    15631.6   4.0 1 1 0.35
	       1377.39  15597.688    15597.7   4.0 1 1 0.70
	       1403.71 15540.5085    15540.4   4.0 1 1 0.55
	       1453.58 15432.1214    15432.1   4.0 1 1 1.08
	       1470.47 15395.4175    15395.3   4.0 1 1 0.40
	       1499.42 15332.4676    15332.4   4.0 1 1 1.15
	       1520.06 15287.5955    15287.8   4.0 1 1 0.58
	       1541.48 15240.9936     15241.   4.0 1 1 1.41
	       1566.33 15186.9337     15187.   4.0 1 1 0.38
	       1620.56 15068.9271    15068.9   4.0 1 1 0.66
	       1626.76 15055.4302    15055.5   4.0 1 1 1.95
	       1703.86 14887.5773    14887.7   4.0 1 1 0.78
	       1728.92 14833.0143     14833.   4.0 1 1 0.62
	       1790.55  14698.786    14698.4   4.0 1 1 0.35
	       1833.62 14604.9454    14604.8   4.0 1 1 0.35
	       1852.51 14563.8102     14564.   4.0 1 1 0.35
	       1873.18 14518.7702     14519.   4.0 1 1 0.60
	       1947.54 14356.7392    14356.7   4.0 1 1 
	       2025.96 14185.8654    14186.1   4.0 1 1 0.20
	       2036.39 14163.1422    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.890374623488
		3093.711131690453
		2850.225884706699
		2604.159228323023
		2356.278713853249
		2108.568826258555

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,98]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,98]
	units	Angstroms
	features	52
	        207.59 18118.3627    18118.5   4.0 1 1 0.50
	        265.81  17994.121     17994.   4.0 1 1 1.42
	        319.00 17880.4774    17880.3   4.0 1 1 1.20
	        416.52 17671.8015    17671.8   4.0 1 1 0.70
	        425.28  17653.022    17653.2   4.0 1 1 2.00
	        519.93 17450.0553    17449.9   4.0 1 1 0.72
	        575.50 17330.7103    17330.9   4.0 1 1 0.32
	        613.74 17248.5385    17248.6   4.0 1 1 0.70
	        631.45 17210.4502    17210.4   4.0 1 1 0.36
	        671.75 17123.7478    17123.6   4.0 1 1 1.20
	        692.88 17078.2678    17078.3   4.0 1 1 0.70
	        725.25 17008.5628    17008.8   4.0 1 1 1.80
	        750.07 16955.0927    16955.1   4.0 1 1 0.52
	        773.96 16903.6154    16903.7   4.0 1 1 1.45
	        803.24 16840.4827    16840.5   4.0 1 1 0.30
	        864.25 16708.8614    16708.8   4.0 1 1 0.83
	        871.99 16692.1387    16692.1   4.0 1 1 2.30
	        935.91  16554.098    16553.9   4.0 1 1 0.30
	        959.77 16502.5461    16502.3   4.0 1 1 0.75
	        987.60 16442.3813    16442.1   4.0 1 1 
	       1012.51 16388.5107    16388.5   4.0 1 1 0.25
	       1029.70 16351.3349    16351.3   4.0 1 1 0.65
	       1045.55 16317.0401    16317.2   4.0 1 1 0.28
	       1083.40 16235.1183    16235.4   4.0 1 1 1.27
	       1102.13 16194.5751    16194.7   4.0 1 1 0.63
	       1132.58 16128.6239    16128.6   4.0 1 1 1.71
	       1155.17 16079.6914    16079.8   4.0 1 1 0.65
	       1177.75 16030.7606    16030.8   4.0 1 1 1.53
	       1204.62 15972.5265    15972.6   4.0 1 1 0.50
	       1261.92 15848.2633    15848.1   4.0 1 1 0.90
	       1268.93 15833.0487    15833.2   4.0 1 1 2.30
	       1350.78 15655.4042     15655.   4.0 1 1 1.05
	       1361.83 15631.4011    15631.6   4.0 1 1 0.35
	       1377.42 15597.5471    15597.7   4.0 1 1 0.70
	       1403.63 15540.6221    15540.4   4.0 1 1 0.55
	       1453.55 15432.1416    15432.1   4.0 1 1 1.08
	       1470.51 15395.2652    15395.3   4.0 1 1 0.40
	       1499.44 15332.3726    15332.4   4.0 1 1 1.15
	       1519.98 15287.7145    15287.8   4.0 1 1 0.58
	       1541.44 15241.0416     15241.   4.0 1 1 1.41
	       1566.29 15186.9792     15187.   4.0 1 1 0.38
	       1620.55 15068.9098    15068.9   4.0 1 1 0.66
	       1626.76 15055.4004    15055.5   4.0 1 1 1.95
	       1703.85 14887.5757    14887.7   4.0 1 1 0.78
	       1728.91 14833.0134     14833.   4.0 1 1 0.62
	       1790.55 14698.7622    14698.4   4.0 1 1 0.35
	       1833.60 14604.9771    14604.8   4.0 1 1 0.35
	       1852.46 14563.8778     14564.   4.0 1 1 0.35
	       1873.17 14518.7714     14519.   4.0 1 1 0.60
	       1947.54 14356.6956    14356.7   4.0 1 1 
	       2025.97 14185.7383    14186.1   4.0 1 1 0.20
	       2036.29  14163.262    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.724553721799
		3093.697786456201
		2850.247578247751
		2604.128067104654
		2356.312001495782
		2108.353376752566

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,99]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,99]
	units	Angstroms
	features	52
	        207.53 18118.4287    18118.5   4.0 1 1 0.50
	        265.80 17994.0849     17994.   4.0 1 1 1.42
	        319.03 17880.3566    17880.3   4.0 1 1 1.20
	        416.48 17671.8113    17671.8   4.0 1 1 0.70
	        425.22 17653.0897    17653.2   4.0 1 1 2.00
	        519.90  17450.047    17449.9   4.0 1 1 0.72
	        575.46 17330.7522    17330.9   4.0 1 1 0.32
	        613.69 17248.5758    17248.6   4.0 1 1 0.70
	        631.45 17210.3895    17210.4   4.0 1 1 0.36
	        671.73 17123.7374    17123.6   4.0 1 1 1.20
	        692.85 17078.2851    17078.3   4.0 1 1 0.70
	        725.19 17008.6443    17008.8   4.0 1 1 1.80
	        750.11 16954.9733    16955.1   4.0 1 1 0.52
	        773.89 16903.7254    16903.7   4.0 1 1 1.45
	        803.17 16840.6022    16840.5   4.0 1 1 0.30
	        864.29 16708.7371    16708.8   4.0 1 1 0.83
	        871.99 16692.1083    16692.1   4.0 1 1 2.30
	        935.98 16553.9316    16553.9   4.0 1 1 0.30
	        959.78 16502.5026    16502.3   4.0 1 1 0.75
	        987.59 16442.3805    16442.1   4.0 1 1 
	       1012.40 16388.7262    16388.5   4.0 1 1 0.25
	       1029.71 16351.2935    16351.3   4.0 1 1 0.65
	       1045.58 16316.9519    16317.2   4.0 1 1 0.28
	       1083.27 16235.3824    16235.4   4.0 1 1 1.27
	       1102.16 16194.4833    16194.7   4.0 1 1 0.63
	       1132.61  16128.539    16128.6   4.0 1 1 1.71
	       1155.21 16079.5952    16079.8   4.0 1 1 0.65
	       1177.71 16030.8245    16030.8   4.0 1 1 1.53
	       1204.57 15972.6215    15972.6   4.0 1 1 0.50
	       1261.94 15848.2012    15848.1   4.0 1 1 0.90
	       1268.93 15833.0318    15833.2   4.0 1 1 2.30
	       1350.85 15655.2223     15655.   4.0 1 1 1.05
	       1361.83 15631.3834    15631.6   4.0 1 1 0.35
	       1377.42 15597.5186    15597.7   4.0 1 1 0.70
	       1403.49  15540.886    15540.4   4.0 1 1 0.55
	       1453.58 15432.0424    15432.1   4.0 1 1 1.08
	       1470.49 15395.2831    15395.3   4.0 1 1 0.40
	       1499.42 15332.4016    15332.4   4.0 1 1 1.15
	       1519.92 15287.8126    15287.8   4.0 1 1 0.58
	       1541.45 15240.9785     15241.   4.0 1 1 1.41
	       1566.29 15186.9405     15187.   4.0 1 1 0.38
	       1620.53 15068.9121    15068.9   4.0 1 1 0.66
	       1626.72 15055.4532    15055.5   4.0 1 1 1.95
	       1703.81 14887.6127    14887.7   4.0 1 1 0.78
	       1728.81 14833.1682     14833.   4.0 1 1 0.62
	       1790.63 14698.5094    14698.4   4.0 1 1 0.35
	       1833.54 14605.0254    14604.8   4.0 1 1 0.35
	       1852.40 14563.9144     14564.   4.0 1 1 0.35
	       1873.15 14518.7053     14519.   4.0 1 1 0.60
	       1947.50 14356.6433    14356.7   4.0 1 1 
	       2025.82 14185.9117    14186.1   4.0 1 1 0.20
	       2036.25 14163.1613    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.849570764652
		3093.673103953808
		2850.241653692051
		2604.129180361964
		2356.295796075914
		2108.238634118352

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,100]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,100]
	units	Angstroms
	features	52
	        207.51 18118.5583    18118.5   4.0 1 1 0.50
	        265.76 17994.1073     17994.   4.0 1 1 1.42
	        319.00 17880.2667    17880.3   4.0 1 1 1.20
	        416.47 17671.5846    17671.8   4.0 1 1 0.70
	        425.26 17652.7471    17653.2   4.0 1 1 2.00
	        519.90 17449.7927    17449.9   4.0 1 1 0.72
	        575.42 17330.5755    17330.9   4.0 1 1 0.32
	        613.71  17248.303    17248.6   4.0 1 1 0.70
	        630.19 17212.8681    17210.4   4.0 1 1 0.36
	        671.77 17123.4497    17123.6   4.0 1 1 1.20
	        692.84 17078.1094    17078.3   4.0 1 1 0.70
	        725.10 17008.6542    17008.8   4.0 1 1 1.80
	        750.05 16954.9277    16955.1   4.0 1 1 0.52
	        773.95 16903.4411    16903.7   4.0 1 1 1.45
	        803.15 16840.4998    16840.5   4.0 1 1 0.30
	        864.26 16708.6883    16708.8   4.0 1 1 0.83
	        871.92 16692.1659    16692.1   4.0 1 1 2.30
	        936.06 16553.6901    16553.9   4.0 1 1 0.30
	        959.85 16502.2949    16502.3   4.0 1 1 0.75
	        987.63 16442.2612    16442.1   4.0 1 1 
	       1012.37 16388.7645    16388.5   4.0 1 1 0.25
	       1029.72 16351.2451    16351.3   4.0 1 1 0.65
	       1045.58 16316.9332    16317.2   4.0 1 1 0.28
	       1083.30 16235.3232    16235.4   4.0 1 1 1.27
	       1102.25 16194.3056    16194.7   4.0 1 1 0.63
	       1132.57 16128.6413    16128.6   4.0 1 1 1.71
	       1155.21 16079.6135    16079.8   4.0 1 1 0.65
	       1177.80 16030.6561    16030.8   4.0 1 1 1.53
	       1204.57  15972.656    15972.6   4.0 1 1 0.50
	       1261.94 15848.2361    15848.1   4.0 1 1 0.90
	       1268.92 15833.1087    15833.2   4.0 1 1 2.30
	       1350.85 15655.2749     15655.   4.0 1 1 1.05
	       1361.79 15631.5109    15631.6   4.0 1 1 0.35
	       1377.40 15597.6095    15597.7   4.0 1 1 0.70
	       1403.47 15540.9799    15540.4   4.0 1 1 0.55
	       1453.56 15432.1194    15432.1   4.0 1 1 1.08
	       1470.44 15395.4249    15395.3   4.0 1 1 0.40
	       1499.42  15332.418    15332.4   4.0 1 1 1.15
	       1519.92 15287.8152    15287.8   4.0 1 1 0.58
	       1541.46  15240.968     15241.   4.0 1 1 1.41
	       1566.30 15186.9258     15187.   4.0 1 1 0.38
	       1620.52 15068.9204    15068.9   4.0 1 1 0.66
	       1626.70 15055.4596    15055.5   4.0 1 1 1.95
	       1703.85 14887.4834    14887.7   4.0 1 1 0.78
	       1728.88 14832.9831     14833.   4.0 1 1 0.62
	       1790.54 14698.6564    14698.4   4.0 1 1 0.35
	       1833.54 14604.9737    14604.8   4.0 1 1 0.35
	       1852.44 14563.8097     14564.   4.0 1 1 0.35
	       1873.15 14518.6745     14519.   4.0 1 1 0.60
	       1947.48 14356.7057    14356.7   4.0 1 1 
	       2025.78 14186.0752    14186.1   4.0 1 1 0.20
	       2036.35 14163.0429    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.200692154654
		3093.592271682386
		2850.201681325475
		2604.166264584443
		2356.23327271048
		2108.563444368888

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,101]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,101]
	units	Angstroms
	features	52
	        207.52 18118.4456    18118.5   4.0 1 1 0.50
	        265.78 17994.0619     17994.   4.0 1 1 1.42
	        318.96 17880.4074    17880.3   4.0 1 1 1.20
	        416.46 17671.7448    17671.8   4.0 1 1 0.70
	        425.22 17652.9894    17653.2   4.0 1 1 2.00
	        519.84 17450.1095    17449.9   4.0 1 1 0.72
	        575.38  17330.858    17330.9   4.0 1 1 0.32
	        613.72  17248.482    17248.6   4.0 1 1 0.70
	        631.40 17210.4572    17210.4   4.0 1 1 0.36
	        671.79 17123.5823    17123.6   4.0 1 1 1.20
	        692.80 17078.3655    17078.3   4.0 1 1 0.70
	        725.13 17008.7539    17008.8   4.0 1 1 1.80
	        750.03 16955.1283    16955.1   4.0 1 1 0.52
	        773.90 16903.6931    16903.7   4.0 1 1 1.45
	        803.30 16840.3056    16840.5   4.0 1 1 0.30
	        864.24 16708.8269    16708.8   4.0 1 1 0.83
	        871.82 16692.4649    16692.1   4.0 1 1 2.30
	        936.02 16553.8216    16553.9   4.0 1 1 0.30
	        959.78 16502.4731    16502.3   4.0 1 1 0.75
	        987.65 16442.2088    16442.1   4.0 1 1 
	       1012.44  16388.611    16388.5   4.0 1 1 0.25
	       1029.68 16351.3047    16351.3   4.0 1 1 0.65
	       1045.56 16316.9574    16317.2   4.0 1 1 0.28
	       1083.17 16235.5474    16235.4   4.0 1 1 1.27
	       1102.15 16194.4423    16194.7   4.0 1 1 0.63
	       1132.59  16128.532    16128.6   4.0 1 1 1.71
	       1155.19 16079.5693    16079.8   4.0 1 1 0.65
	       1177.75 16030.6695    16030.8   4.0 1 1 1.53
	       1204.54 15972.5906    15972.6   4.0 1 1 0.50
	       1261.97 15848.0402    15848.1   4.0 1 1 0.90
	       1268.81 15833.2115    15833.2   4.0 1 1 2.30
	       1350.83 15655.1956     15655.   4.0 1 1 1.05
	       1361.77 15631.4405    15631.6   4.0 1 1 0.35
	       1377.38 15597.5479    15597.7   4.0 1 1 0.70
	       1403.46 15540.9065    15540.4   4.0 1 1 0.55
	       1453.52 15432.1289    15432.1   4.0 1 1 1.08
	       1470.45  15395.332    15395.3   4.0 1 1 0.40
	       1499.45 15332.3026    15332.4   4.0 1 1 1.15
	       1519.88 15287.8649    15287.8   4.0 1 1 0.58
	       1541.43 15241.0129     15241.   4.0 1 1 1.41
	       1566.25  15187.036     15187.   4.0 1 1 0.38
	       1620.55 15068.8852    15068.9   4.0 1 1 0.66
	       1626.70 15055.5075    15055.5   4.0 1 1 1.95
	       1703.85 14887.5596    14887.7   4.0 1 1 0.78
	       1728.90 14832.9992     14833.   4.0 1 1 0.62
	       1790.57 14698.6535    14698.4   4.0 1 1 0.35
	       1833.58 14604.9259    14604.8   4.0 1 1 0.35
	       1852.43 14563.8468     14564.   4.0 1 1 0.35
	       1873.14 14518.6952     14519.   4.0 1 1 0.60
	       1947.41 14356.7537    14356.7   4.0 1 1 
	       2025.80 14185.7522    14186.1   4.0 1 1 0.20
	       2036.09 14163.2975    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.686687425184
		3093.576197383831
		2850.271365850549
		2604.084805171486
		2356.369707286146
		2107.737517231324

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,102]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,102]
	units	Angstroms
	features	51
	        207.50 18118.4238    18118.5   4.0 1 1 0.50
	        265.74 17994.0866     17994.   4.0 1 1 1.42
	        318.92 17880.4376    17880.3   4.0 1 1 1.20
	        416.43 17671.7626    17671.8   4.0 1 1 0.70
	        425.23  17652.907    17653.2   4.0 1 1 2.00
	        519.84 17450.0386    17449.9   4.0 1 1 0.72
	        575.16 17331.2523    17330.9   4.0 1 1 0.32
	        613.69 17248.4543    17248.6   4.0 1 1 0.70
	        631.44 17210.2977    17210.4   4.0 1 1 0.36
	        671.70 17123.7017    17123.6   4.0 1 1 1.20
	        725.19 17008.5594    17008.8   4.0 1 1 0.70
	        750.02 16955.0676    16955.1   4.0 1 1 1.80
	        773.93 16903.5653    16903.7   4.0 1 1 0.52
	        803.21 16840.4467    16840.5   4.0 1 1 1.45
	        864.23 16708.8102    16708.8   4.0 1 1 0.30
	        871.89 16692.2727    16692.1   4.0 1 1 0.83
	        936.04 16553.7585    16553.9   4.0 1 1 2.30
	        959.81 16502.3882    16502.3   4.0 1 1 0.30
	        987.55 16442.4464    16442.1   4.0 1 1 0.75
	       1012.42 16388.6697    16388.5   4.0 1 1 
	       1029.58 16351.5429    16351.3   4.0 1 1 0.25
	       1045.56 16316.9809    16317.2   4.0 1 1 0.65
	       1083.30 16235.2942    16235.4   4.0 1 1 0.28
	       1102.08 16194.6367    16194.7   4.0 1 1 1.27
	       1132.55 16128.6508    16128.6   4.0 1 1 0.63
	       1155.24 16079.5093    16079.8   4.0 1 1 1.71
	       1177.68 16030.8733    16030.8   4.0 1 1 0.65
	       1204.58 15972.5689    15972.6   4.0 1 1 1.53
	       1261.99 15848.0817    15848.1   4.0 1 1 0.50
	       1268.89 15833.0981    15833.2   4.0 1 1 0.90
	       1350.94 15655.0214     15655.   4.0 1 1 2.30
	       1361.82  15631.374    15631.6   4.0 1 1 1.05
	       1377.40 15597.5553    15597.7   4.0 1 1 0.35
	       1403.50 15540.8407    15540.4   4.0 1 1 0.70
	       1453.48  15432.219    15432.1   4.0 1 1 0.55
	       1470.44 15395.3597    15395.3   4.0 1 1 1.08
	       1499.44 15332.3075    15332.4   4.0 1 1 0.40
	       1519.91 15287.7776    15287.8   4.0 1 1 1.15
	       1541.45   15240.94     15241.   4.0 1 1 0.58
	       1566.22 15187.0462     15187.   4.0 1 1 1.41
	       1620.54 15068.8388    15068.9   4.0 1 1 0.38
	       1626.66 15055.5111    15055.5   4.0 1 1 0.66
	       1703.78 14887.6077    14887.7   4.0 1 1 1.95
	       1728.83 14833.0499     14833.   4.0 1 1 0.78
	       1790.52 14698.6827    14698.4   4.0 1 1 0.62
	       1833.55 14604.9197    14604.8   4.0 1 1 0.35
	       1852.39 14563.8767     14564.   4.0 1 1 0.35
	       1873.09 14518.7541     14519.   4.0 1 1 0.35
	       1947.46 14356.6781    14356.7   4.0 1 1 0.60
	       2025.78  14185.965    14186.1   4.0 1 1 
	       2036.27 14163.0911    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.408305475076
		3093.605045112091
		2850.232079032177
		2604.133938152577
		2356.261759275358
		2108.338704434211

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,103]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,103]
	units	Angstroms
	features	52
	        207.46 18118.4611    18118.5   4.0 1 1 0.50
	        265.76   17994.03     17994.   4.0 1 1 1.42
	        318.93 17880.4143    17880.3   4.0 1 1 1.20
	        416.44 17671.7535    17671.8   4.0 1 1 0.70
	        425.19 17652.9942    17653.2   4.0 1 1 2.00
	        519.82 17450.1063    17449.9   4.0 1 1 0.72
	        575.33 17330.9258    17330.9   4.0 1 1 0.32
	        613.69 17248.4913    17248.6   4.0 1 1 0.70
	        631.40 17210.4192    17210.4   4.0 1 1 0.36
	        671.66 17123.8054    17123.6   4.0 1 1 1.20
	        692.79 17078.3438    17078.3   4.0 1 1 0.70
	        725.13 17008.7139    17008.8   4.0 1 1 1.80
	        750.09 16954.9311    16955.1   4.0 1 1 0.52
	        773.91 16903.5957    16903.7   4.0 1 1 1.45
	        803.20 16840.4528    16840.5   4.0 1 1 0.30
	        864.33 16708.5843    16708.8   4.0 1 1 0.83
	        871.90 16692.2446    16692.1   4.0 1 1 2.30
	        936.08  16553.626    16553.9   4.0 1 1 0.30
	        959.67 16502.6609    16502.3   4.0 1 1 0.75
	        987.49 16442.5102    16442.1   4.0 1 1 
	       1012.33 16388.7993    16388.5   4.0 1 1 0.25
	       1029.71 16351.2095    16351.3   4.0 1 1 0.65
	       1045.51 16317.0159    16317.2   4.0 1 1 0.28
	       1083.33 16235.1695    16235.4   4.0 1 1 1.27
	       1102.08 16194.5705    16194.7   4.0 1 1 0.63
	       1132.47 16128.7568    16128.6   4.0 1 1 1.71
	       1155.21  16079.485    16079.8   4.0 1 1 0.65
	       1177.61 16030.9483    16030.8   4.0 1 1 1.53
	       1204.46 15972.7399    15972.6   4.0 1 1 0.50
	       1261.99 15847.9685    15848.1   4.0 1 1 0.90
	       1268.82 15833.1474    15833.2   4.0 1 1 2.30
	       1350.76 15655.3102     15655.   4.0 1 1 1.05
	       1361.74 15631.4664    15631.6   4.0 1 1 0.35
	       1377.35 15597.5685    15597.7   4.0 1 1 0.70
	       1403.51 15540.7378    15540.4   4.0 1 1 0.55
	       1453.53 15432.0516    15432.1   4.0 1 1 1.08
	       1470.46 15395.2719    15395.3   4.0 1 1 0.40
	       1499.37  15332.418    15332.4   4.0 1 1 1.15
	       1519.95 15287.6553    15287.8   4.0 1 1 0.58
	       1541.44  15240.932     15241.   4.0 1 1 1.41
	       1566.23 15186.9967     15187.   4.0 1 1 0.38
	       1620.58 15068.7443    15068.9   4.0 1 1 0.66
	       1626.65 15055.5447    15055.5   4.0 1 1 1.95
	       1703.78 14887.6198    14887.7   4.0 1 1 0.78
	       1728.87 14832.9855     14833.   4.0 1 1 0.62
	       1790.52  14698.687    14698.4   4.0 1 1 0.35
	       1833.54 14604.9525    14604.8   4.0 1 1 0.35
	       1852.38 14563.8987     14564.   4.0 1 1 0.35
	       1873.03 14518.8798     14519.   4.0 1 1 0.60
	       1947.38  14356.791    14356.7   4.0 1 1 
	       2025.80 14185.7743    14186.1   4.0 1 1 0.20
	       2036.18 14163.1389    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.280798868438
		3093.591979921455
		2850.251606808068
		2604.091207174039
		2356.327354944381
		2107.955430635173

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,104]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,104]
	units	Angstroms
	features	52
	        207.43 18118.4854    18118.5   4.0 1 1 0.50
	        265.71  17994.066     17994.   4.0 1 1 1.42
	        318.95 17880.3025    17880.3   4.0 1 1 1.20
	        416.42 17671.7168    17671.8   4.0 1 1 0.70
	        425.14 17653.0334    17653.2   4.0 1 1 2.00
	        519.76 17450.1609    17449.9   4.0 1 1 0.72
	        575.32  17330.876    17330.9   4.0 1 1 0.32
	        613.64  17248.538    17248.6   4.0 1 1 0.70
	        631.36 17210.4466    17210.4   4.0 1 1 0.36
	        671.70  17123.684    17123.6   4.0 1 1 1.20
	        692.78 17078.3069    17078.3   4.0 1 1 0.70
	        725.04 17008.8566    17008.8   4.0 1 1 1.80
	        750.03 16955.0402    16955.1   4.0 1 1 0.52
	        773.91  16903.582    16903.7   4.0 1 1 1.45
	        803.22 16840.3955    16840.5   4.0 1 1 0.30
	        864.24 16708.7688    16708.8   4.0 1 1 0.83
	        871.95 16692.1268    16692.1   4.0 1 1 2.30
	        935.92 16553.9874    16553.9   4.0 1 1 0.30
	        959.77 16502.4502    16502.3   4.0 1 1 0.75
	        987.59 16442.3058    16442.1   4.0 1 1 
	       1012.46 16388.5352    16388.5   4.0 1 1 0.25
	       1029.73  16351.183    16351.3   4.0 1 1 0.65
	       1045.53 16317.0065    16317.2   4.0 1 1 0.28
	       1083.26 16235.3494    16235.4   4.0 1 1 1.27
	       1102.06 16194.6432    16194.7   4.0 1 1 0.63
	       1132.54 16128.6347    16128.6   4.0 1 1 1.71
	       1155.15 16079.6531    16079.8   4.0 1 1 0.65
	       1177.65 16030.8799    16030.8   4.0 1 1 1.53
	       1204.51 15972.6532    15972.6   4.0 1 1 0.50
	       1262.03 15847.9121    15848.1   4.0 1 1 0.90
	       1268.82 15833.1904    15833.2   4.0 1 1 2.30
	       1350.82 15655.2063     15655.   4.0 1 1 1.05
	       1361.75 15631.4547    15631.6   4.0 1 1 0.35
	       1377.35 15597.5881    15597.7   4.0 1 1 0.70
	       1403.43 15540.9322    15540.4   4.0 1 1 0.55
	       1453.48  15432.166    15432.1   4.0 1 1 1.08
	       1470.47 15395.2238    15395.3   4.0 1 1 0.40
	       1499.36 15332.4026    15332.4   4.0 1 1 1.15
	       1519.91 15287.7221    15287.8   4.0 1 1 0.58
	       1541.42 15240.9392     15241.   4.0 1 1 1.41
	       1566.24 15186.9341     15187.   4.0 1 1 0.38
	       1620.51 15068.8433    15068.9   4.0 1 1 0.66
	       1626.69 15055.3804    15055.5   4.0 1 1 1.95
	       1703.75 14887.6175    14887.7   4.0 1 1 0.78
	       1728.80  14833.054     14833.   4.0 1 1 0.62
	       1790.52 14698.6294    14698.4   4.0 1 1 0.35
	       1833.48 14605.0344    14604.8   4.0 1 1 0.35
	       1852.36 14563.8925     14564.   4.0 1 1 0.35
	       1873.03 14518.8404     14519.   4.0 1 1 0.60
	       1947.44  14356.692    14356.7   4.0 1 1 
	       2025.87 14185.7257    14186.1   4.0 1 1 0.20
	       2036.18 14163.2507    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.485519180171
		3093.56911995783
		2850.239734702142
		2604.113181754568
		2356.263375937275
		2108.322652647403

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,105]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,105]
	units	Angstroms
	features	52
	        207.44 18118.5332    18118.5   4.0 1 1 0.50
	        265.73 17993.9994     17994.   4.0 1 1 1.42
	        318.87 17880.3719    17880.3   4.0 1 1 1.20
	        416.40 17671.6477    17671.8   4.0 1 1 0.70
	        425.13 17652.9367    17653.2   4.0 1 1 2.00
	        519.81 17450.0048    17449.9   4.0 1 1 0.72
	        575.33  17330.851    17330.9   4.0 1 1 0.32
	        613.63 17248.5809    17248.6   4.0 1 1 0.70
	        631.34 17210.5271    17210.4   4.0 1 1 0.36
	        671.63 17123.8921    17123.6   4.0 1 1 1.20
	        692.82  17078.286    17078.3   4.0 1 1 0.70
	        725.06  17008.888    17008.8   4.0 1 1 1.80
	        749.96 16955.2516    16955.1   4.0 1 1 0.52
	        773.93 16903.6033    16903.7   4.0 1 1 1.45
	        803.19 16840.5105    16840.5   4.0 1 1 0.30
	        864.34 16708.5827    16708.8   4.0 1 1 0.83
	        871.83 16692.3972    16692.1   4.0 1 1 2.30
	        936.05 16553.6812    16553.9   4.0 1 1 0.30
	        959.73 16502.4813    16502.3   4.0 1 1 0.75
	        987.54  16442.345    16442.1   4.0 1 1 
	       1012.31 16388.7516    16388.5   4.0 1 1 0.25
	       1029.66 16351.2145    16351.3   4.0 1 1 0.65
	       1045.50 16316.9382    16317.2   4.0 1 1 0.28
	       1083.27 16235.1567    16235.4   4.0 1 1 1.27
	       1102.02  16194.536    16194.7   4.0 1 1 0.63
	       1132.53 16128.4353    16128.6   4.0 1 1 1.71
	       1155.06  16079.597    16079.8   4.0 1 1 0.65
	       1177.63 16030.6741    16030.8   4.0 1 1 1.53
	       1204.52 15972.3609    15972.6   4.0 1 1 0.50
	       1261.90 15847.8975    15848.1   4.0 1 1 0.90
	       1268.84 15832.8311    15833.2   4.0 1 1 2.30
	       1350.83 15654.8495     15655.   4.0 1 1 1.05
	       1361.68 15631.2951    15631.6   4.0 1 1 0.35
	       1377.22  15597.554    15597.7   4.0 1 1 0.70
	       1402.07 15543.5792    15540.4   4.0 1 1 0.55
	       1453.49 15431.8635    15432.1   4.0 1 1 1.08
	       1470.45 15395.0072    15395.3   4.0 1 1 0.40
	       1499.29 15332.3224    15332.4   4.0 1 1 1.15
	       1519.81 15287.7084    15287.8   4.0 1 1 0.58
	       1541.41  15240.755     15241.   4.0 1 1 1.41
	       1566.20 15186.8435     15187.   4.0 1 1 0.38
	       1620.49 15068.7678    15068.9   4.0 1 1 0.66
	       1626.63 15055.4022    15055.5   4.0 1 1 1.95
	       1703.79 14887.4849    14887.7   4.0 1 1 0.78
	       1728.79 14833.0555     14833.   4.0 1 1 0.62
	       1790.52 14698.6335    14698.4   4.0 1 1 0.35
	       1833.55 14604.9149    14604.8   4.0 1 1 0.35
	       1852.35 14563.9555     14564.   4.0 1 1 0.35
	       1873.08 14518.7685     14519.   4.0 1 1 0.60
	       1947.40 14356.7682    14356.7   4.0 1 1 
	       2025.77 14185.8642    14186.1   4.0 1 1 0.20
	       2036.19 14163.1427    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3335.378471772594
		3093.346628888018
		2850.347191293496
		2603.970204384919
		2356.412232716204
		2107.750590266854

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,106]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,106]
	units	Angstroms
	features	52
	        207.42 18118.4787    18118.5   4.0 1 1 0.50
	        265.70 17994.0683     17994.   4.0 1 1 1.42
	        318.92 17880.3286    17880.3   4.0 1 1 1.20
	        416.40 17671.7258    17671.8   4.0 1 1 0.70
	        425.13 17653.0277    17653.2   4.0 1 1 2.00
	        519.83  17449.959    17449.9   4.0 1 1 0.72
	        575.27 17330.9407    17330.9   4.0 1 1 0.32
	        613.56 17248.6453    17248.6   4.0 1 1 0.70
	        631.39 17210.3165    17210.4   4.0 1 1 0.36
	        671.64 17123.7572    17123.6   4.0 1 1 1.20
	        692.67 17078.4949    17078.3   4.0 1 1 0.70
	        725.05 17008.7652    17008.8   4.0 1 1 1.80
	        750.00  16955.036    16955.1   4.0 1 1 0.52
	        773.85 16903.6415    16903.7   4.0 1 1 1.45
	        803.12 16840.5321    16840.5   4.0 1 1 0.30
	        864.28 16708.5978    16708.8   4.0 1 1 0.83
	        871.90 16692.1564    16692.1   4.0 1 1 2.30
	        935.92 16553.8947    16553.9   4.0 1 1 0.30
	        959.70 16502.5094    16502.3   4.0 1 1 0.75
	        987.58 16442.2421    16442.1   4.0 1 1 
	       1012.34 16388.7093    16388.5   4.0 1 1 0.25
	       1029.66 16351.2358    16351.3   4.0 1 1 0.65
	       1045.55 16316.8649    16317.2   4.0 1 1 0.28
	       1083.24 16235.2935    16235.4   4.0 1 1 1.27
	       1102.05 16194.5648    16194.7   4.0 1 1 0.63
	       1132.48  16128.653    16128.6   4.0 1 1 1.71
	       1155.09 16079.6672    16079.8   4.0 1 1 0.65
	       1177.65 16030.7813    16030.8   4.0 1 1 1.53
	       1204.49 15972.6019    15972.6   4.0 1 1 0.50
	       1261.90 15848.0866    15848.1   4.0 1 1 0.90
	       1268.81  15833.107    15833.2   4.0 1 1 2.30
	       1350.80 15655.1417     15655.   4.0 1 1 1.05
	       1361.69 15631.4894    15631.6   4.0 1 1 0.35
	       1377.30 15597.5792    15597.7   4.0 1 1 0.70
	       1403.38 15540.9257    15540.4   4.0 1 1 0.55
	       1453.46 15432.0973    15432.1   4.0 1 1 1.08
	       1470.39 15395.2934    15395.3   4.0 1 1 0.40
	       1499.26 15332.5398    15332.4   4.0 1 1 1.15
	       1519.80 15287.8601    15287.8   4.0 1 1 0.58
	       1541.40 15240.8873     15241.   4.0 1 1 1.41
	       1566.18 15186.9824     15187.   4.0 1 1 0.38
	       1620.51 15068.7563    15068.9   4.0 1 1 0.66
	       1626.66 15055.3821    15055.5   4.0 1 1 1.95
	       1703.71 14887.6487    14887.7   4.0 1 1 0.78
	       1728.73 14833.1605     14833.   4.0 1 1 0.62
	       1790.55 14698.5252    14698.4   4.0 1 1 0.35
	       1833.50 14604.9765    14604.8   4.0 1 1 0.35
	       1852.39 14563.8355     14564.   4.0 1 1 0.35
	       1873.08 14518.7398     14519.   4.0 1 1 0.60
	       1947.43 14356.7503    14356.7   4.0 1 1 
	       2025.76 14186.0557    14186.1   4.0 1 1 0.20
	       2036.35 14162.9898    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.478931258739
		3093.568441512333
		2850.23182553941
		2604.088629881248
		2356.264375469002
		2108.453022235918

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,107]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,107]
	units	Angstroms
	features	52
	        207.42 18118.4504    18118.5   4.0 1 1 0.50
	        265.68 17994.0595     17994.   4.0 1 1 1.42
	        318.86 17880.4095    17880.3   4.0 1 1 1.20
	        416.38 17671.7056    17671.8   4.0 1 1 0.70
	        425.09 17653.0386    17653.2   4.0 1 1 2.00
	        519.81 17449.9556    17449.9   4.0 1 1 0.72
	        575.26 17330.9055    17330.9   4.0 1 1 0.32
	        613.54 17248.6469    17248.6   4.0 1 1 0.70
	        631.29 17210.4979    17210.4   4.0 1 1 0.36
	        671.68 17123.6181    17123.6   4.0 1 1 1.20
	        692.68 17078.4197    17078.3   4.0 1 1 0.70
	        725.07 17008.7071    17008.8   4.0 1 1 1.80
	        750.02 16954.9498    16955.1   4.0 1 1 0.52
	        773.85 16903.6084    16903.7   4.0 1 1 1.45
	        803.14 16840.4772    16840.5   4.0 1 1 0.30
	        864.12 16708.9236    16708.8   4.0 1 1 0.83
	        871.84 16692.2616    16692.1   4.0 1 1 2.30
	        935.99 16553.7221    16553.9   4.0 1 1 0.30
	        959.73 16502.4299    16502.3   4.0 1 1 0.75
	        987.56 16442.2697    16442.1   4.0 1 1 
	       1012.34 16388.6709    16388.5   4.0 1 1 0.25
	       1029.67 16351.2028    16351.3   4.0 1 1 0.65
	       1045.43 16317.0968    16317.2   4.0 1 1 0.28
	       1083.25 16235.2501    16235.4   4.0 1 1 1.27
	       1102.03 16194.5766    16194.7   4.0 1 1 0.63
	       1132.43 16128.7438    16128.6   4.0 1 1 1.71
	       1155.24 16079.3175    16079.8   4.0 1 1 0.65
	       1177.56 16030.9661    16030.8   4.0 1 1 1.53
	       1204.49 15972.5789    15972.6   4.0 1 1 0.50
	       1261.86 15848.1539    15848.1   4.0 1 1 0.90
	       1268.72 15833.2712    15833.2   4.0 1 1 2.30
	       1350.75 15655.2333     15655.   4.0 1 1 1.05
	       1361.71 15631.4288    15631.6   4.0 1 1 0.35
	       1377.28 15597.6048    15597.7   4.0 1 1 0.70
	       1403.50 15540.6534    15540.4   4.0 1 1 0.55
	       1453.46  15432.089    15432.1   4.0 1 1 1.08
	       1470.38 15395.2886    15395.3   4.0 1 1 0.40
	       1499.34 15332.3448    15332.4   4.0 1 1 1.15
	       1519.81 15287.8171    15287.8   4.0 1 1 0.58
	       1541.36 15240.9412     15241.   4.0 1 1 1.41
	       1566.21  15186.896     15187.   4.0 1 1 0.38
	       1620.41 15068.9499    15068.9   4.0 1 1 0.66
	       1626.59 15055.5113    15055.5   4.0 1 1 1.95
	       1703.70 14887.6557    14887.7   4.0 1 1 0.78
	       1728.70 14833.2152     14833.   4.0 1 1 0.62
	       1790.49 14698.6344    14698.4   4.0 1 1 0.35
	       1833.53 14604.8715    14604.8   4.0 1 1 0.35
	       1852.41 14563.7526     14564.   4.0 1 1 0.35
	       1873.09 14518.6899     14519.   4.0 1 1 0.60
	       1947.39 14356.7807    14356.7   4.0 1 1 
	       2025.79 14185.9237    14186.1   4.0 1 1 0.20
	       2036.25 14163.1328    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.682560237784
		3093.538198409493
		2850.230850600775
		2604.083502548508
		2356.263991390987
		2108.386841398992

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,108]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,108]
	units	Angstroms
	features	52
	        207.43 18118.4232    18118.5   4.0 1 1 0.50
	        265.68 17994.0615     17994.   4.0 1 1 1.42
	        318.85 17880.4168    17880.3   4.0 1 1 1.20
	        416.38 17671.6845    17671.8   4.0 1 1 0.70
	        425.01 17653.1923    17653.2   4.0 1 1 2.00
	        519.78 17450.0081    17449.9   4.0 1 1 0.72
	        575.23 17330.9598    17330.9   4.0 1 1 0.32
	        613.69 17248.3183    17248.6   4.0 1 1 0.70
	        631.27   17210.52    17210.4   4.0 1 1 0.36
	        671.68  17123.614    17123.6   4.0 1 1 1.20
	        692.71 17078.3647    17078.3   4.0 1 1 0.70
	        725.06 17008.7162    17008.8   4.0 1 1 1.80
	        750.06 16954.8593    16955.1   4.0 1 1 0.52
	        773.85 16903.5902    16903.7   4.0 1 1 1.45
	        803.09  16840.562    16840.5   4.0 1 1 0.30
	        864.12 16708.9012    16708.8   4.0 1 1 0.83
	        871.83 16692.2455    16692.1   4.0 1 1 2.30
	        935.82 16554.0555    16553.9   4.0 1 1 0.30
	        959.69 16502.4694    16502.3   4.0 1 1 0.75
	        987.48 16442.3926    16442.1   4.0 1 1 
	       1012.31  16388.697    16388.5   4.0 1 1 0.25
	       1029.64 16351.2008    16351.3   4.0 1 1 0.65
	       1045.58 16316.7195    16317.2   4.0 1 1 0.28
	       1083.22 16235.2526    16235.4   4.0 1 1 1.27
	       1102.04 16194.4915    16194.7   4.0 1 1 0.63
	       1132.46 16128.6039    16128.6   4.0 1 1 1.71
	       1155.07 16079.6229    16079.8   4.0 1 1 0.65
	       1177.54 16030.9154    16030.8   4.0 1 1 1.53
	       1204.42  15972.658    15972.6   4.0 1 1 0.50
	       1261.76  15848.297    15848.1   4.0 1 1 0.90
	       1268.72 15833.2073    15833.2   4.0 1 1 2.30
	       1350.68 15655.2985     15655.   4.0 1 1 1.05
	       1361.65 15631.4794    15631.6   4.0 1 1 0.35
	       1377.32 15597.4601    15597.7   4.0 1 1 0.70
	       1403.48 15540.6367    15540.4   4.0 1 1 0.55
	       1453.43 15432.0898    15432.1   4.0 1 1 1.08
	       1470.36 15395.3007    15395.3   4.0 1 1 0.40
	       1499.36  15332.252    15332.4   4.0 1 1 1.15
	       1519.80 15287.8146    15287.8   4.0 1 1 0.58
	       1541.35 15240.9356     15241.   4.0 1 1 1.41
	       1566.21 15186.8671     15187.   4.0 1 1 0.38
	       1620.43 15068.9013    15068.9   4.0 1 1 0.66
	       1626.61 15055.4658    15055.5   4.0 1 1 1.95
	       1703.68 14887.6963    14887.7   4.0 1 1 0.78
	       1728.74 14833.1245     14833.   4.0 1 1 0.62
	       1790.48  14698.664    14698.4   4.0 1 1 0.35
	       1833.53 14604.8607    14604.8   4.0 1 1 0.35
	       1852.32  14563.926     14564.   4.0 1 1 0.35
	       1873.04 14518.7805     14519.   4.0 1 1 0.60
	       1947.39 14356.7094    14356.7   4.0 1 1 
	       2025.66 14186.0603    14186.1   4.0 1 1 0.20
	       2036.26 14162.9556    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.887689778977
		3093.514108119108
		2850.242946707062
		2604.051797972244
		2356.310881209834
		2108.054061305258

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,109]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,109]
	units	Angstroms
	features	52
	        207.38 18118.3842    18118.5   4.0 1 1 0.50
	        265.59 17994.1365     17994.   4.0 1 1 1.42
	        318.83 17880.3984    17880.3   4.0 1 1 1.20
	        416.31 17671.7932    17671.8   4.0 1 1 0.70
	        425.05 17653.0793    17653.2   4.0 1 1 2.00
	        519.82 17449.8724    17449.9   4.0 1 1 0.72
	        575.19 17330.9933    17330.9   4.0 1 1 0.32
	        613.56 17248.5402    17248.6   4.0 1 1 0.70
	        631.30 17210.3971    17210.4   4.0 1 1 0.36
	        671.60 17123.7147    17123.6   4.0 1 1 1.20
	        692.73 17078.2411    17078.3   4.0 1 1 0.70
	        725.05 17008.6623    17008.8   4.0 1 1 1.80
	        750.01 16954.8795    16955.1   4.0 1 1 0.52
	        773.71 16903.8233    16903.7   4.0 1 1 1.45
	        803.06 16840.5495    16840.5   4.0 1 1 0.30
	        864.16  16708.746    16708.8   4.0 1 1 0.83
	        871.76 16692.3295    16692.1   4.0 1 1 2.30
	        935.90 16553.8191    16553.9   4.0 1 1 0.30
	        959.74 16502.3143    16502.3   4.0 1 1 0.75
	        987.50 16442.3054    16442.1   4.0 1 1 
	       1012.36 16388.5536    16388.5   4.0 1 1 0.25
	       1029.61 16351.2336    16351.3   4.0 1 1 0.65
	       1045.35  16317.185    16317.2   4.0 1 1 0.28
	       1083.20 16235.2673    16235.4   4.0 1 1 1.27
	       1102.00 16194.5564    16194.7   4.0 1 1 0.63
	       1132.43 16128.6578    16128.6   4.0 1 1 1.71
	       1154.98 16079.8086    16079.8   4.0 1 1 0.65
	       1177.58  16030.827    16030.8   4.0 1 1 1.53
	       1204.39 15972.7173    15972.6   4.0 1 1 0.50
	       1261.87 15848.0814    15848.1   4.0 1 1 0.90
	       1268.74 15833.1786    15833.2   4.0 1 1 2.30
	       1350.66 15655.3758     15655.   4.0 1 1 1.05
	       1361.85 15631.0796    15631.6   4.0 1 1 0.35
	       1377.23 15597.6762    15597.7   4.0 1 1 0.70
	       1403.54  15540.533    15540.4   4.0 1 1 0.55
	       1453.47 15432.0396    15432.1   4.0 1 1 1.08
	       1470.38 15395.2828    15395.3   4.0 1 1 0.40
	       1499.36 15332.2813    15332.4   4.0 1 1 1.15
	       1519.73 15287.9748    15287.8   4.0 1 1 0.58
	       1541.33 15241.0097     15241.   4.0 1 1 1.41
	       1566.10 15187.1199     15187.   4.0 1 1 0.38
	       1620.52 15068.7107    15068.9   4.0 1 1 0.66
	       1626.60 15055.4804    15055.5   4.0 1 1 1.95
	       1703.70 14887.6238    14887.7   4.0 1 1 0.78
	       1728.73 14833.1267     14833.   4.0 1 1 0.62
	       1790.48 14698.6106    14698.4   4.0 1 1 0.35
	       1833.51 14604.8454    14604.8   4.0 1 1 0.35
	       1852.30  14563.903     14564.   4.0 1 1 0.35
	       1872.98 14518.8151     14519.   4.0 1 1 0.60
	       1947.31 14356.7773    14356.7   4.0 1 1 
	       2025.64 14185.9677    14186.1   4.0 1 1 0.20
	       2036.16 14163.0208    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.116650370277
		3093.562862269145
		2850.20701891438
		2604.073318022768
		2356.284485017885
		2107.995183742696

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,110]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,110]
	units	Angstroms
	features	51
	        207.39 18118.3322    18118.5   4.0 1 1 0.50
	        265.62 17994.1229     17994.   4.0 1 1 1.42
	        318.80 17880.5205    17880.3   4.0 1 1 1.20
	        416.32  17671.829    17671.8   4.0 1 1 0.70
	        425.07 17653.0809    17653.2   4.0 1 1 2.00
	        519.81 17449.8869    17449.9   4.0 1 1 0.72
	        575.18 17330.9622    17330.9   4.0 1 1 0.32
	        613.59 17248.3915    17248.6   4.0 1 1 0.70
	        631.23 17210.4423    17210.4   4.0 1 1 0.36
	        671.53 17123.7312    17123.6   4.0 1 1 1.20
	        692.65 17078.2761    17078.3   4.0 1 1 0.70
	        724.94 17008.7268    17008.8   4.0 1 1 1.80
	        749.99  16954.777    16955.1   4.0 1 1 0.52
	        773.72  16903.622    16903.7   4.0 1 1 1.45
	        803.11 16840.2506    16840.5   4.0 1 1 0.30
	        864.22 16708.4294    16708.8   4.0 1 1 0.83
	        871.84 16691.9761    16692.1   4.0 1 1 2.30
	        934.70  16556.222    16553.9   4.0 1 1 0.30
	        959.72 16502.1777    16502.3   4.0 1 1 0.75
	        987.58  16441.956    16442.1   4.0 1 1 
	       1012.25 16388.6028    16388.5   4.0 1 1 0.25
	       1029.54 16351.2156    16351.3   4.0 1 1 0.65
	       1045.39 16316.9256    16317.2   4.0 1 1 0.28
	       1083.22 16235.0756    16235.4   4.0 1 1 1.27
	       1101.98 16194.4541    16194.7   4.0 1 1 0.63
	       1132.43 16128.5258    16128.6   4.0 1 1 1.71
	       1155.00 16079.6438    16079.8   4.0 1 1 0.65
	       1177.52 16030.8428    16030.8   4.0 1 1 1.53
	       1204.41 15972.5644    15972.6   4.0 1 1 0.50
	       1261.88 15847.9596    15848.1   4.0 1 1 0.90
	       1268.70  15833.172    15833.2   4.0 1 1 2.30
	       1350.64  15655.336     15655.   4.0 1 1 1.05
	       1361.62 15631.4964    15631.6   4.0 1 1 0.35
	       1377.18 15597.7116    15597.7   4.0 1 1 0.70
	       1403.47 15540.6224    15540.4   4.0 1 1 0.55
	       1453.45 15432.0299    15432.1   4.0 1 1 1.08
	       1470.39 15395.2094    15395.3   4.0 1 1 0.40
	       1499.31 15332.3363    15332.4   4.0 1 1 1.15
	       1519.76 15287.8691    15287.8   4.0 1 1 0.58
	       1566.14 15186.9839     15187.   4.0 1 1 1.41
	       1620.42 15068.8803    15068.9   4.0 1 1 0.38
	       1626.59  15055.446    15055.5   4.0 1 1 0.66
	       1703.69  14887.607    14887.7   4.0 1 1 1.95
	       1728.67 14833.2049     14833.   4.0 1 1 0.78
	       1790.47 14698.5868    14698.4   4.0 1 1 0.62
	       1833.46  14604.906    14604.8   4.0 1 1 0.35
	       1852.37 14563.6862     14564.   4.0 1 1 0.35
	       1872.90 14518.9406     14519.   4.0 1 1 0.35
	       1947.31  14356.741    14356.7   4.0 1 1 0.60
	       2025.65 14185.9109    14186.1   4.0 1 1 
	       2036.11 14163.1001    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.074870266672
		3093.700611730173
		2850.138009834445
		2604.078775983563
		2356.263656280044
		2108.04041787593

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,111]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,111]
	units	Angstroms
	features	51
	        207.38 18118.4278    18118.5   4.0 1 1 0.50
	        265.62 17994.0767     17994.   4.0 1 1 1.42
	        318.80 17880.4083    17880.3   4.0 1 1 1.20
	        416.30 17671.7449    17671.8   4.0 1 1 0.70
	        425.03 17653.0601    17653.2   4.0 1 1 2.00
	        519.74 17449.9938    17449.9   4.0 1 1 0.72
	        575.21 17330.8948    17330.9   4.0 1 1 0.32
	        613.51 17248.6067    17248.6   4.0 1 1 0.70
	        631.28  17210.415    17210.4   4.0 1 1 0.36
	        671.63 17123.6144    17123.6   4.0 1 1 1.20
	        692.70 17078.2821    17078.3   4.0 1 1 0.70
	        725.00 17008.7524    17008.8   4.0 1 1 1.80
	        749.93 16955.0378    16955.1   4.0 1 1 0.52
	        773.81 16903.5957    16903.7   4.0 1 1 1.45
	        803.13 16840.3816    16840.5   4.0 1 1 0.30
	        864.08 16708.8816    16708.8   4.0 1 1 0.83
	        871.71 16692.4276    16692.1   4.0 1 1 2.30
	        959.62 16502.5394    16502.3   4.0 1 1 0.30
	        987.53 16442.1884    16442.1   4.0 1 1 0.75
	       1012.33 16388.5598    16388.5   4.0 1 1 
	       1029.58 16351.2488    16351.3   4.0 1 1 0.25
	       1045.40 16317.0285    16317.2   4.0 1 1 0.65
	       1083.21 16235.1949    16235.4   4.0 1 1 0.28
	       1102.00 16194.4939    16194.7   4.0 1 1 1.27
	       1132.47 16128.4986    16128.6   4.0 1 1 0.63
	       1154.95 16079.8033    16079.8   4.0 1 1 1.71
	       1177.51 16030.9179    16030.8   4.0 1 1 0.65
	       1204.38  15972.675    15972.6   4.0 1 1 1.53
	       1261.88 15847.9707    15848.1   4.0 1 1 0.50
	       1268.73 15833.0952    15833.2   4.0 1 1 0.90
	       1350.63 15655.3386     15655.   4.0 1 1 2.30
	       1361.60 15631.5277    15631.6   4.0 1 1 1.05
	       1377.21 15597.6332    15597.7   4.0 1 1 0.35
	       1403.41 15540.7083    15540.4   4.0 1 1 0.70
	       1453.42 15432.0594    15432.1   4.0 1 1 0.55
	       1470.41 15395.1146    15395.3   4.0 1 1 1.08
	       1499.30 15332.3308    15332.4   4.0 1 1 0.40
	       1519.65 15288.0811    15287.8   4.0 1 1 1.15
	       1541.37 15240.8304     15241.   4.0 1 1 0.58
	       1566.13 15186.9854     15187.   4.0 1 1 1.41
	       1620.41 15068.8862    15068.9   4.0 1 1 0.38
	       1626.61 15055.4001    15055.5   4.0 1 1 0.66
	       1703.64 14887.7134    14887.7   4.0 1 1 1.95
	       1728.74 14833.0526     14833.   4.0 1 1 0.78
	       1790.45 14698.6217    14698.4   4.0 1 1 0.62
	       1833.48 14604.8555    14604.8   4.0 1 1 0.35
	       1852.32 14563.7915     14564.   4.0 1 1 0.35
	       1872.92 14518.9076     14519.   4.0 1 1 0.35
	       1947.31 14356.7143    14356.7   4.0 1 1 0.60
	       2025.55 14186.0715    14186.1   4.0 1 1 
	       2036.14 14162.9603    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.831820580785
		3093.497617849072
		2850.225554472438
		2604.041104175476
		2356.303445943288
		2107.841806949513

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,112]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,112]
	units	Angstroms
	features	52
	        207.37 18118.3551    18118.5   4.0 1 1 0.50
	        265.56 17994.1607     17994.   4.0 1 1 1.42
	        318.79 17880.4198    17880.3   4.0 1 1 1.20
	        416.29 17671.7657    17671.8   4.0 1 1 0.70
	        425.00 17653.1215    17653.2   4.0 1 1 2.00
	        519.75 17449.9478    17449.9   4.0 1 1 0.72
	        575.22 17330.8405    17330.9   4.0 1 1 0.32
	        613.53 17248.5207    17248.6   4.0 1 1 0.70
	        631.26 17210.3805    17210.4   4.0 1 1 0.36
	        671.55 17123.7186    17123.6   4.0 1 1 1.20
	        692.61 17078.3911    17078.3   4.0 1 1 0.70
	        725.01 17008.6477    17008.8   4.0 1 1 1.80
	        749.95 16954.9205    16955.1   4.0 1 1 0.52
	        773.78 16903.5614    16903.7   4.0 1 1 1.45
	        803.07 16840.4301    16840.5   4.0 1 1 0.30
	        864.00 16708.9769    16708.8   4.0 1 1 0.83
	        871.74 16692.2688    16692.1   4.0 1 1 2.30
	        935.74 16554.0688    16553.9   4.0 1 1 0.30
	        959.66 16502.3805    16502.3   4.0 1 1 0.75
	        987.45 16442.3038    16442.1   4.0 1 1 
	       1012.23 16388.7094    16388.5   4.0 1 1 0.25
	       1029.56 16351.2368    16351.3   4.0 1 1 0.65
	       1045.40 16316.9662    16317.2   4.0 1 1 0.28
	       1083.13 16235.3111    16235.4   4.0 1 1 1.27
	       1101.93 16194.6168    16194.7   4.0 1 1 0.63
	       1132.42 16128.5805    16128.6   4.0 1 1 1.71
	       1155.01 16079.6406    16079.8   4.0 1 1 0.65
	       1177.58 16030.7345    16030.8   4.0 1 1 1.53
	       1204.40 15972.5978    15972.6   4.0 1 1 0.50
	       1261.83 15848.0474    15848.1   4.0 1 1 0.90
	       1268.64 15833.2858    15833.2   4.0 1 1 2.30
	       1350.68 15655.2157     15655.   4.0 1 1 1.05
	       1361.66 15631.3763    15631.6   4.0 1 1 0.35
	       1377.23 15597.5623    15597.7   4.0 1 1 0.70
	       1403.41 15540.6999    15540.4   4.0 1 1 0.55
	       1453.38 15432.1279    15432.1   4.0 1 1 1.08
	       1470.36 15395.2169    15395.3   4.0 1 1 0.40
	       1499.28 15332.3298    15332.4   4.0 1 1 1.15
	       1519.70 15287.9388    15287.8   4.0 1 1 0.58
	       1541.31 15240.9252     15241.   4.0 1 1 1.41
	       1566.07 15187.0665     15187.   4.0 1 1 0.38
	       1620.43 15068.7972    15068.9   4.0 1 1 0.66
	       1626.55 15055.4773    15055.5   4.0 1 1 1.95
	       1703.64 14887.6594    14887.7   4.0 1 1 0.78
	       1728.71 14833.0511     14833.   4.0 1 1 0.62
	       1790.46 14698.5641    14698.4   4.0 1 1 0.35
	       1833.45 14604.8874    14604.8   4.0 1 1 0.35
	       1852.26  14563.895     14564.   4.0 1 1 0.35
	       1872.90 14518.9124     14519.   4.0 1 1 0.60
	       1947.34 14356.6654    14356.7   4.0 1 1 
	       2025.65 14185.9308    14186.1   4.0 1 1 0.20
	       2036.12 14163.0934    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.115381040927
		3093.565488596638
		2850.185704502443
		2604.058492484186
		2356.25934495652
		2108.093098526602

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,113]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,113]
	units	Angstroms
	features	52
	        207.37 18118.4498    18118.5   4.0 1 1 0.50
	        265.59 17994.1032     17994.   4.0 1 1 1.42
	        318.80 17880.3564    17880.3   4.0 1 1 1.20
	        416.26  17671.748    17671.8   4.0 1 1 0.70
	        425.02 17652.9764    17653.2   4.0 1 1 2.00
	        519.74  17449.858    17449.9   4.0 1 1 0.72
	        575.09 17331.0272    17330.9   4.0 1 1 0.32
	        613.42 17248.6512    17248.6   4.0 1 1 0.70
	        631.18 17210.4863    17210.4   4.0 1 1 0.36
	        671.55 17123.6412    17123.6   4.0 1 1 1.20
	        692.52 17078.5199    17078.3   4.0 1 1 0.70
	        724.96 17008.6699    17008.8   4.0 1 1 1.80
	        749.90 16954.9647    16955.1   4.0 1 1 0.52
	        773.72 16903.6297    16903.7   4.0 1 1 1.45
	        802.98 16840.5463    16840.5   4.0 1 1 0.30
	        864.11  16708.673    16708.8   4.0 1 1 0.83
	        871.74 16692.2167    16692.1   4.0 1 1 2.30
	        935.78 16553.9274    16553.9   4.0 1 1 0.30
	        959.68 16502.2755    16502.3   4.0 1 1 0.75
	        987.42 16442.3097    16442.1   4.0 1 1 
	       1012.18 16388.7654    16388.5   4.0 1 1 0.25
	       1029.49 16351.3308    16351.3   4.0 1 1 0.65
	       1045.39 16316.9221    16317.2   4.0 1 1 0.28
	       1083.17 16235.1617    16235.4   4.0 1 1 1.27
	       1101.95 16194.5093    16194.7   4.0 1 1 0.63
	       1132.41 16128.5364    16128.6   4.0 1 1 1.71
	       1154.89 16079.8399    16079.8   4.0 1 1 0.65
	       1177.51 16030.8162    16030.8   4.0 1 1 1.53
	       1204.35 15972.6427    15972.6   4.0 1 1 0.50
	       1261.82 15848.0136    15848.1   4.0 1 1 0.90
	       1268.66 15833.1808    15833.2   4.0 1 1 2.30
	       1350.61 15655.3257     15655.   4.0 1 1 1.05
	       1361.61 15631.4228    15631.6   4.0 1 1 0.35
	       1377.21  15597.547    15597.7   4.0 1 1 0.70
	       1403.37 15540.7231    15540.4   4.0 1 1 0.55
	       1453.33 15432.1784    15432.1   4.0 1 1 1.08
	       1470.32 15395.2434    15395.3   4.0 1 1 0.40
	       1499.27 15332.3048    15332.4   4.0 1 1 1.15
	       1519.69  15287.914    15287.8   4.0 1 1 0.58
	       1541.31 15240.8942     15241.   4.0 1 1 1.41
	       1566.02 15187.1557     15187.   4.0 1 1 0.38
	       1620.41 15068.8154    15068.9   4.0 1 1 0.66
	       1626.57 15055.4022    15055.5   4.0 1 1 1.95
	       1703.60 14887.7118    14887.7   4.0 1 1 0.78
	       1728.71  14833.033     14833.   4.0 1 1 0.62
	       1790.47 14698.5204    14698.4   4.0 1 1 0.35
	       1833.46 14604.8446    14604.8   4.0 1 1 0.35
	       1852.25 14563.8941     14564.   4.0 1 1 0.35
	       1872.88 14518.9275     14519.   4.0 1 1 0.60
	       1947.35 14356.6062    14356.7   4.0 1 1 
	       2025.56 14186.0717    14186.1   4.0 1 1 0.20
	       2036.13 14163.0151    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.933009312271
		3093.510138245076
		2850.184965012285
		2604.041424483269
		2356.272764597556
		2107.990363924954

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,114]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,114]
	units	Angstroms
	features	51
	        207.29 18118.4354    18118.5   4.0 1 1 0.50
	        265.57 17994.0316     17994.   4.0 1 1 1.42
	        318.75 17880.3884    17880.3   4.0 1 1 1.20
	        416.18 17671.8983    17671.8   4.0 1 1 0.70
	        424.94 17653.1373    17653.2   4.0 1 1 2.00
	        519.74  17449.874    17449.9   4.0 1 1 0.72
	        575.26 17330.6728    17330.9   4.0 1 1 0.32
	        613.50 17248.5092    17248.6   4.0 1 1 0.70
	        631.16  17210.537    17210.4   4.0 1 1 0.36
	        671.57  17123.629    17123.6   4.0 1 1 1.20
	        692.55   17078.47    17078.3   4.0 1 1 0.70
	        724.99 17008.6336    17008.8   4.0 1 1 1.80
	        749.86 16955.0555    16955.1   4.0 1 1 0.52
	        773.71 16903.6619    16903.7   4.0 1 1 1.45
	        802.97 16840.5776    16840.5   4.0 1 1 0.30
	        864.09 16708.7458    16708.8   4.0 1 1 0.83
	        871.73 16692.2425    16692.1   4.0 1 1 2.30
	        935.74 16554.0256    16553.9   4.0 1 1 0.30
	        959.70 16502.2416    16502.3   4.0 1 1 0.75
	        987.38 16442.4012    16442.1   4.0 1 1 
	       1012.27 16388.5831    16388.5   4.0 1 1 0.25
	       1029.52 16351.2759    16351.3   4.0 1 1 0.65
	       1045.32 16317.0942    16317.2   4.0 1 1 0.28
	       1083.15 16235.2237    16235.4   4.0 1 1 1.27
	       1101.92 16194.5746    16194.7   4.0 1 1 0.63
	       1132.39 16128.5916    16128.6   4.0 1 1 1.71
	       1154.98 16079.6424    16079.8   4.0 1 1 0.65
	       1177.51  16030.837    16030.8   4.0 1 1 1.53
	       1204.40 15972.5431    15972.6   4.0 1 1 0.50
	       1261.81 15848.0439    15848.1   4.0 1 1 0.90
	       1268.71 15833.0781    15833.2   4.0 1 1 2.30
	       1350.57 15655.3939     15655.   4.0 1 1 1.05
	       1361.56 15631.5351    15631.6   4.0 1 1 0.35
	       1377.21 15597.5509    15597.7   4.0 1 1 0.70
	       1403.39 15540.6979    15540.4   4.0 1 1 0.55
	       1453.31 15432.2128    15432.1   4.0 1 1 1.08
	       1470.33 15395.2203    15395.3   4.0 1 1 0.40
	       1499.26 15332.3408    15332.4   4.0 1 1 1.15
	       1519.71 15287.8634    15287.8   4.0 1 1 0.58
	       1541.29 15240.9383     15241.   4.0 1 1 1.41
	       1566.05 15187.0704     15187.   4.0 1 1 0.38
	       1620.42 15068.7662    15068.9   4.0 1 1 0.66
	       1626.57 15055.3991    15055.5   4.0 1 1 1.95
	       1703.69 14887.5102    14887.7   4.0 1 1 0.78
	       1728.63  14833.184     14833.   4.0 1 1 0.62
	       1790.45 14698.5273    14698.4   4.0 1 1 0.35
	       1852.23 14563.8946     14564.   4.0 1 1 0.35
	       1872.83 14518.9882     14519.   4.0 1 1 0.35
	       1947.23 14356.7842    14356.7   4.0 1 1 0.60
	       2025.48 14186.1331    14186.1   4.0 1 1 
	       2036.16 14162.8338    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.317868903959
		3093.51668951876
		2850.187129868297
		2604.041303513379
		2356.270919094324
		2107.874035052223

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,115]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,115]
	units	Angstroms
	features	52
	        207.30 18118.4039    18118.5   4.0 1 1 0.50
	        265.54 17994.1024     17994.   4.0 1 1 1.42
	        318.74 17880.4188    17880.3   4.0 1 1 1.20
	        416.24 17671.7861    17671.8   4.0 1 1 0.70
	        424.99 17653.0356    17653.2   4.0 1 1 2.00
	        519.67 17450.0137    17449.9   4.0 1 1 0.72
	        575.24 17330.7052    17330.9   4.0 1 1 0.32
	        613.47  17248.547    17248.6   4.0 1 1 0.70
	        631.20 17210.4388    17210.4   4.0 1 1 0.36
	        671.48 17123.7977    17123.6   4.0 1 1 1.20
	        692.61 17078.3197    17078.3   4.0 1 1 0.70
	        724.93 17008.7385    17008.8   4.0 1 1 1.80
	        749.80 16955.1643    16955.1   4.0 1 1 0.52
	        773.73 16903.6143    16903.7   4.0 1 1 1.45
	        803.04 16840.4264    16840.5   4.0 1 1 0.30
	        864.05 16708.8238    16708.8   4.0 1 1 0.83
	        871.80 16692.0842    16692.1   4.0 1 1 2.30
	        935.75 16554.0022    16553.9   4.0 1 1 0.30
	        959.59 16502.4795    16502.3   4.0 1 1 0.75
	        987.39  16442.392    16442.1   4.0 1 1 
	       1012.23 16388.6814    16388.5   4.0 1 1 0.25
	       1029.58 16351.1562    16351.3   4.0 1 1 0.65
	       1045.38  16316.955    16317.2   4.0 1 1 0.28
	       1083.22 16235.0795    16235.4   4.0 1 1 1.27
	       1101.98 16194.4536    16194.7   4.0 1 1 0.63
	       1132.36  16128.653    16128.6   4.0 1 1 1.71
	       1155.00 16079.6262    16079.8   4.0 1 1 0.65
	       1177.48 16030.8941    16030.8   4.0 1 1 1.53
	       1204.34 15972.6752    15972.6   4.0 1 1 0.50
	       1261.74 15848.2022    15848.1   4.0 1 1 0.90
	       1268.68 15833.1417    15833.2   4.0 1 1 2.30
	       1350.58  15655.376     15655.   4.0 1 1 1.05
	       1361.56  15631.529    15631.6   4.0 1 1 0.35
	       1377.20 15597.5656    15597.7   4.0 1 1 0.70
	       1403.38  15540.698    15540.4   4.0 1 1 0.55
	       1453.35    15432.1    15432.1   4.0 1 1 1.08
	       1470.31 15395.2277    15395.3   4.0 1 1 0.40
	       1499.25 15332.3096    15332.4   4.0 1 1 1.15
	       1519.62 15288.0172    15287.8   4.0 1 1 0.58
	       1541.36 15240.7198     15241.   4.0 1 1 1.41
	       1566.00 15187.1279     15187.   4.0 1 1 0.38
	       1620.40 15068.7464    15068.9   4.0 1 1 0.66
	       1626.56 15055.3266    15055.5   4.0 1 1 1.95
	       1703.62 14887.5709    14887.7   4.0 1 1 0.78
	       1728.63 14833.1016     14833.   4.0 1 1 0.62
	       1790.43 14698.4978    14698.4   4.0 1 1 0.35
	       1833.44 14604.8008    14604.8   4.0 1 1 0.35
	       1852.12 14564.0955     14564.   4.0 1 1 0.35
	       1872.82 14518.9992     14519.   4.0 1 1 0.60
	       1947.25 14356.8051    14356.7   4.0 1 1 
	       2025.73 14185.7533    14186.1   4.0 1 1 0.20
	       2036.11 14163.1199    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.18714869281
		3093.53703415264
		2850.174455684473
		2604.057759595834
		2356.207305698392
		2108.327209272843

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,116]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,116]
	units	Angstroms
	features	52
	        207.26 18118.4319    18118.5   4.0 1 1 0.50
	        265.57 17994.0202     17994.   4.0 1 1 1.42
	        318.74 17880.4043    17880.3   4.0 1 1 1.20
	        416.18 17671.8975    17671.8   4.0 1 1 0.70
	        424.95 17653.1069    17653.2   4.0 1 1 2.00
	        519.65 17450.0231    17449.9   4.0 1 1 0.72
	        575.09 17330.9604    17330.9   4.0 1 1 0.32
	        613.47 17248.4775    17248.6   4.0 1 1 0.70
	        631.19 17210.3722    17210.4   4.0 1 1 0.36
	        671.46 17123.7452    17123.6   4.0 1 1 1.20
	        692.57 17078.3138    17078.3   4.0 1 1 0.70
	        724.97 17008.5698    17008.8   4.0 1 1 1.80
	        749.93  16954.799    16955.1   4.0 1 1 0.52
	        773.72 16903.5338    16903.7   4.0 1 1 1.45
	        803.02 16840.3658    16840.5   4.0 1 1 0.30
	        863.99 16708.8701    16708.8   4.0 1 1 0.83
	        871.75 16692.1081    16692.1   4.0 1 1 2.30
	        935.68 16554.0692    16553.9   4.0 1 1 0.30
	        959.54 16502.5195    16502.3   4.0 1 1 0.75
	        987.39 16442.3435    16442.1   4.0 1 1 
	       1012.21  16388.672    16388.5   4.0 1 1 0.25
	       1029.55  16351.174    16351.3   4.0 1 1 0.65
	       1045.36 16316.9793    16317.2   4.0 1 1 0.28
	       1083.01 16235.5027    16235.4   4.0 1 1 1.27
	       1101.88  16194.656    16194.7   4.0 1 1 0.63
	       1132.38 16128.6071    16128.6   4.0 1 1 1.71
	       1154.96 16079.6961    16079.8   4.0 1 1 0.65
	       1177.48 16030.8899    16030.8   4.0 1 1 1.53
	       1204.33  15972.696    15972.6   4.0 1 1 0.50
	       1261.67 15848.3523    15848.1   4.0 1 1 0.90
	       1268.67 15833.1703    15833.2   4.0 1 1 2.30
	       1350.64 15655.2313     15655.   4.0 1 1 1.05
	       1361.54 15631.5673    15631.6   4.0 1 1 0.35
	       1377.17 15597.6109    15597.7   4.0 1 1 0.70
	       1403.44 15540.5421    15540.4   4.0 1 1 0.55
	       1453.35 15432.0639    15432.1   4.0 1 1 1.08
	       1470.37 15395.0535    15395.3   4.0 1 1 0.40
	       1499.22 15332.3156    15332.4   4.0 1 1 1.15
	       1519.65 15287.8594    15287.8   4.0 1 1 0.58
	       1541.29 15240.7849     15241.   4.0 1 1 1.41
	       1565.98 15187.0559     15187.   4.0 1 1 0.38
	       1620.35 15068.6919    15068.9   4.0 1 1 0.66
	       1626.54 15055.2194    15055.5   4.0 1 1 1.95
	       1703.61 14887.3674    14887.7   4.0 1 1 0.78
	       1728.60 14832.9162     14833.   4.0 1 1 0.62
	       1790.39 14698.2763    14698.4   4.0 1 1 0.35
	       1833.41 14604.5131    14604.8   4.0 1 1 0.35
	       1851.03 14566.0983     14564.   4.0 1 1 0.35
	       1872.83 14518.5911     14519.   4.0 1 1 0.60
	       1947.18 14356.4888    14356.7   4.0 1 1 
	       2025.42 14185.9087    14186.1   4.0 1 1 0.20
	       2036.01  14162.817    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.532039674788
		3093.613498934216
		2850.123033556128
		2604.095622988971
		2356.097906372467
		2108.178604602159

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,117]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,117]
	units	Angstroms
	features	52
	        207.24 18118.4867    18118.5   4.0 1 1 0.50
	        265.57 17994.0044     17994.   4.0 1 1 1.42
	        318.75 17880.3728    17880.3   4.0 1 1 1.20
	        416.27 17671.6618    17671.8   4.0 1 1 0.70
	        424.90 17653.1856    17653.2   4.0 1 1 2.00
	        519.65  17450.003    17449.9   4.0 1 1 0.72
	        575.11 17330.9127    17330.9   4.0 1 1 0.32
	        613.41 17248.5997    17248.6   4.0 1 1 0.70
	        631.15 17210.4515    17210.4   4.0 1 1 0.36
	        671.51 17123.6367    17123.6   4.0 1 1 1.20
	        692.61 17078.2345    17078.3   4.0 1 1 0.70
	        724.93 17008.6455    17008.8   4.0 1 1 1.80
	        749.77 16955.1353    16955.1   4.0 1 1 0.52
	        773.68 16903.6112    16903.7   4.0 1 1 1.45
	        803.01 16840.3877    16840.5   4.0 1 1 0.30
	        863.91 16709.0077    16708.8   4.0 1 1 0.83
	        871.64 16692.3247    16692.1   4.0 1 1 2.30
	        935.80 16553.7831    16553.9   4.0 1 1 0.30
	        959.56 16502.4408    16502.3   4.0 1 1 0.75
	        987.32 16442.4301    16442.1   4.0 1 1 
	       1012.24 16388.5442    16388.5   4.0 1 1 0.25
	       1029.51 16351.2011    16351.3   4.0 1 1 0.65
	       1045.37 16316.8764    16317.2   4.0 1 1 0.28
	       1083.09 16235.2619    16235.4   4.0 1 1 1.27
	       1101.92 16194.4921    16194.7   4.0 1 1 0.63
	       1132.42 16128.4442    16128.6   4.0 1 1 1.71
	       1154.86 16079.8341    16079.8   4.0 1 1 0.65
	       1177.44 16030.9001    16030.8   4.0 1 1 1.53
	       1204.33 15972.6312    15972.6   4.0 1 1 0.50
	       1261.67 15848.2992    15848.1   4.0 1 1 0.90
	       1268.65 15833.1381    15833.2   4.0 1 1 2.30
	       1350.62 15655.2547     15655.   4.0 1 1 1.05
	       1361.54 15631.5347    15631.6   4.0 1 1 0.35
	       1377.19 15597.5621    15597.7   4.0 1 1 0.70
	       1403.45 15540.5219    15540.4   4.0 1 1 0.55
	       1453.37 15432.0497    15432.1   4.0 1 1 1.08
	       1470.26 15395.3401    15395.3   4.0 1 1 0.40
	       1499.24 15332.3266    15332.4   4.0 1 1 1.15
	       1519.67 15287.8894    15287.8   4.0 1 1 0.58
	       1541.32 15240.8116     15241.   4.0 1 1 1.41
	       1565.96 15187.1988     15187.   4.0 1 1 0.38
	       1620.34 15068.8381    15068.9   4.0 1 1 0.66
	       1626.51 15055.4182    15055.5   4.0 1 1 1.95
	       1703.59 14887.5296    14887.7   4.0 1 1 0.78
	       1728.60  14833.023     14833.   4.0 1 1 0.62
	       1790.35 14698.4075    14698.4   4.0 1 1 0.35
	       1833.38 14604.5683    14604.8   4.0 1 1 0.35
	       1851.48 14565.0719     14564.   4.0 1 1 0.35
	       1872.80 14518.5537     14519.   4.0 1 1 0.60
	       1947.11 14356.3207    14356.7   4.0 1 1 
	       2024.95 14186.2633    14186.1   4.0 1 1 0.20
	       2035.65 14162.8781    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.964032118261
		3093.562493483398
		2850.145608897151
		2604.048075400356
		2356.241440830324
		2106.876307794522

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,118]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,118]
	units	Angstroms
	features	51
	        207.29  18118.537    18118.5   4.0 1 1 0.50
	        265.55 17994.0439     17994.   4.0 1 1 1.42
	        318.75  17880.288    17880.3   4.0 1 1 1.20
	        416.26 17671.5931    17671.8   4.0 1 1 0.70
	        424.91 17653.0552    17653.2   4.0 1 1 2.00
	        519.68 17449.8902    17449.9   4.0 1 1 0.72
	        575.18 17330.7655    17330.9   4.0 1 1 0.32
	        613.40  17248.672    17248.6   4.0 1 1 0.70
	        631.14 17210.5391    17210.4   4.0 1 1 0.36
	        671.52 17123.7058    17123.6   4.0 1 1 1.20
	        692.54 17078.4707    17078.3   4.0 1 1 0.70
	        724.92 17008.7578    17008.8   4.0 1 1 1.80
	        749.75 16955.2763    16955.1   4.0 1 1 0.52
	        773.60 16903.8882    16903.7   4.0 1 1 1.45
	        803.01 16840.4628    16840.5   4.0 1 1 0.30
	        863.98 16708.9035    16708.8   4.0 1 1 0.83
	        871.56 16692.5482    16692.1   4.0 1 1 2.30
	        935.82 16553.7321    16553.9   4.0 1 1 0.30
	        959.59 16502.3461    16502.3   4.0 1 1 0.75
	        987.33 16442.3743    16442.1   4.0 1 1 
	       1012.25   16388.48    16388.5   4.0 1 1 0.25
	       1029.59 16350.9595    16351.3   4.0 1 1 0.65
	       1045.33 16316.8951    16317.2   4.0 1 1 0.28
	       1083.08 16235.1593    16235.4   4.0 1 1 1.27
	       1101.91  16194.385    16194.7   4.0 1 1 0.63
	       1132.31 16128.5271    16128.6   4.0 1 1 1.71
	       1154.93 16079.5359    16079.8   4.0 1 1 0.65
	       1177.46 16030.6933    16030.8   4.0 1 1 1.53
	       1204.29 15972.5311    15972.6   4.0 1 1 0.50
	       1261.71 15848.0219    15848.1   4.0 1 1 0.90
	       1268.60 15833.0826    15833.2   4.0 1 1 2.30
	       1350.50 15655.3767     15655.   4.0 1 1 1.05
	       1361.56 15631.3563    15631.6   4.0 1 1 0.35
	       1377.11 15597.6081    15597.7   4.0 1 1 0.70
	       1403.41 15540.5256    15540.4   4.0 1 1 0.55
	       1453.33 15432.1293    15432.1   4.0 1 1 1.08
	       1470.25 15395.3642    15395.3   4.0 1 1 0.40
	       1499.21  15332.459    15332.4   4.0 1 1 1.15
	       1519.68 15287.9752    15287.8   4.0 1 1 0.58
	       1541.27 15241.0443     15241.   4.0 1 1 1.41
	       1565.86 15187.5855     15187.   4.0 1 1 0.38
	       1620.37 15069.0082    15068.9   4.0 1 1 0.66
	       1626.48 15055.7128    15055.5   4.0 1 1 1.95
	       1703.57  14887.841    14887.7   4.0 1 1 0.78
	       1728.59 14833.3175     14833.   4.0 1 1 0.62
	       1790.39 14698.5021    14698.4   4.0 1 1 0.35
	       1833.35 14604.7112    14604.8   4.0 1 1 0.35
	       1852.17 14563.5892     14564.   4.0 1 1 0.35
	       1872.75 14518.5939     14519.   4.0 1 1 0.60
	       1947.34 14355.3787    14356.7   4.0 1 1 
	       2034.61 14164.0009    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3335.148334776617
		3093.32332929727
		2850.26590366304
		2603.899665010216
		2356.588345259407
		2104.339333974897

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,119]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,119]
	units	Angstroms
	features	51
	        207.34 18118.3467    18118.5   4.0 1 1 0.50
	        265.53 17994.1329     17994.   4.0 1 1 1.42
	        318.69 17880.5092    17880.3   4.0 1 1 1.20
	        416.21 17671.7628    17671.8   4.0 1 1 0.70
	        424.96 17653.0273    17653.2   4.0 1 1 2.00
	        519.63 17449.9949    17449.9   4.0 1 1 0.72
	        575.09 17330.8984    17330.9   4.0 1 1 0.32
	        613.43  17248.505    17248.6   4.0 1 1 0.70
	        631.14 17210.4192    17210.4   4.0 1 1 0.36
	        671.46 17123.6812    17123.6   4.0 1 1 1.20
	        692.59 17078.2192    17078.3   4.0 1 1 0.70
	        724.88  17008.689    17008.8   4.0 1 1 1.80
	        749.75 16955.1205    16955.1   4.0 1 1 0.52
	        773.65  16903.603    16903.7   4.0 1 1 1.45
	        802.93 16840.4944    16840.5   4.0 1 1 0.30
	        864.03 16708.6951    16708.8   4.0 1 1 0.83
	        871.67 16692.1918    16692.1   4.0 1 1 2.30
	        935.69 16553.9538    16553.9   4.0 1 1 0.30
	        959.52 16502.4743    16502.3   4.0 1 1 0.75
	        987.30 16442.4251    16442.1   4.0 1 1 
	       1012.19 16388.6104    16388.5   4.0 1 1 0.25
	       1029.52  16351.125    16351.3   4.0 1 1 0.65
	       1045.35 16316.8876    16317.2   4.0 1 1 0.28
	       1083.10 16235.1812    16235.4   4.0 1 1 1.27
	       1101.80 16194.6944    16194.7   4.0 1 1 0.63
	       1132.28 16128.6822    16128.6   4.0 1 1 1.71
	       1154.86 16079.7641    16079.8   4.0 1 1 0.65
	       1177.45 16030.8322    16030.8   4.0 1 1 1.53
	       1204.25 15972.7299    15972.6   4.0 1 1 0.50
	       1261.71 15848.1161    15848.1   4.0 1 1 0.90
	       1268.48 15833.4277    15833.2   4.0 1 1 2.30
	       1350.52  15655.331     15655.   4.0 1 1 1.05
	       1361.53 15631.4378    15631.6   4.0 1 1 0.35
	       1377.12 15597.5589    15597.7   4.0 1 1 0.70
	       1403.36 15540.5598    15540.4   4.0 1 1 0.55
	       1453.29 15432.0231    15432.1   4.0 1 1 1.08
	       1470.31 15395.0292    15395.3   4.0 1 1 0.40
	       1498.88 15332.8919    15332.4   4.0 1 1 1.15
	       1519.65 15287.7297    15287.8   4.0 1 1 0.58
	       1541.23 15240.7825     15241.   4.0 1 1 1.41
	       1565.96 15186.9819     15187.   4.0 1 1 0.38
	       1620.32 15068.6875    15068.9   4.0 1 1 0.66
	       1626.50 15055.2245    15055.5   4.0 1 1 1.95
	       1703.55 14887.5089    14887.7   4.0 1 1 0.78
	       1728.58 14833.0077     14833.   4.0 1 1 0.62
	       1790.35 14698.5195    14698.4   4.0 1 1 0.35
	       1833.36  14604.867    14604.8   4.0 1 1 0.35
	       1852.21 14563.8414     14564.   4.0 1 1 0.35
	       1872.73 14519.1485     14519.   4.0 1 1 0.60
	       1946.99 14357.4938    14356.7   4.0 1 1 
	       2036.65 14162.3807    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3333.190557435791
		3093.573496350067
		2850.125873662511
		2604.056018341364
		2356.094140718596
		2109.265025711253

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,120]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,120]
	units	Angstroms
	features	51
	        207.29 18118.4449    18118.5   4.0 1 1 0.50
	        265.51 17994.0955     17994.   4.0 1 1 1.42
	        318.72 17880.3348    17880.3   4.0 1 1 1.20
	        416.18 17671.7106    17671.8   4.0 1 1 0.70
	        424.86 17653.1145    17653.2   4.0 1 1 2.00
	        519.60 17449.9738    17449.9   4.0 1 1 0.72
	        574.99 17331.0479    17330.9   4.0 1 1 0.32
	        613.42 17248.4783    17248.6   4.0 1 1 0.70
	        631.15 17210.3785    17210.4   4.0 1 1 0.36
	        671.52   17123.55    17123.6   4.0 1 1 1.20
	        692.57 17078.2476    17078.3   4.0 1 1 0.70
	        724.79 17008.8749    17008.8   4.0 1 1 1.80
	        749.75 16955.1199    16955.1   4.0 1 1 0.52
	        773.67 16903.5826    16903.7   4.0 1 1 1.45
	        802.89 16840.5898    16840.5   4.0 1 1 0.30
	        863.99 16708.7682    16708.8   4.0 1 1 0.83
	        871.64 16692.2631    16692.1   4.0 1 1 2.30
	        935.67 16553.9774    16553.9   4.0 1 1 0.30
	        959.48 16502.5448    16502.3   4.0 1 1 0.75
	        987.40 16442.1834    16442.1   4.0 1 1 
	       1012.19 16388.5669    16388.5   4.0 1 1 0.25
	       1029.43 16351.2893    16351.3   4.0 1 1 0.65
	       1045.34 16316.8637    16317.2   4.0 1 1 0.28
	       1082.99 16235.3718    16235.4   4.0 1 1 1.27
	       1101.93 16194.3718    16194.7   4.0 1 1 0.63
	       1132.36 16128.4653    16128.6   4.0 1 1 1.71
	       1154.83 16079.7723    16079.8   4.0 1 1 0.65
	       1177.43 16030.7976    16030.8   4.0 1 1 1.53
	       1204.29 15972.5958    15972.6   4.0 1 1 0.50
	       1261.75  15847.974    15848.1   4.0 1 1 0.90
	       1268.58 15833.1656    15833.2   4.0 1 1 2.30
	       1350.54 15655.2869     15655.   4.0 1 1 1.05
	       1361.45 15631.5873    15631.6   4.0 1 1 0.35
	       1376.99 15597.8413    15597.7   4.0 1 1 0.70
	       1403.29 15540.7189    15540.4   4.0 1 1 0.55
	       1453.32 15432.0262    15432.1   4.0 1 1 1.08
	       1470.15 15395.4346    15395.3   4.0 1 1 0.40
	       1499.12 15332.4629    15332.4   4.0 1 1 1.15
	       1519.61 15287.9214    15287.8   4.0 1 1 0.58
	       1541.27 15240.8242     15241.   4.0 1 1 1.41
	       1565.88 15187.2843     15187.   4.0 1 1 0.38
	       1620.28 15068.9332    15068.9   4.0 1 1 0.66
	       1626.50  15055.383    15055.5   4.0 1 1 1.95
	       1703.55 14887.6643    14887.7   4.0 1 1 0.78
	       1729.24 14831.7083     14833.   4.0 1 1 0.62
	       1790.34 14698.6077    14698.4   4.0 1 1 0.35
	       1833.40 14604.7822    14604.8   4.0 1 1 0.35
	       1852.17 14563.8706     14564.   4.0 1 1 0.35
	       1872.76  14518.975     14519.   4.0 1 1 0.60
	       1946.46 14358.2705    14356.7   4.0 1 1 
	       2036.38 14162.1024    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.196011512719
		3093.449455720964
		2850.1688943103
		2603.998192026528
		2356.274270457596
		2107.650328233027

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,121]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,121]
	units	Angstroms
	features	52
	        207.24 18118.5653    18118.5   4.0 1 1 0.50
	        265.49 17994.0362     17994.   4.0 1 1 1.42
	        318.68 17880.2618    17880.3   4.0 1 1 1.20
	        416.16 17671.5913    17671.8   4.0 1 1 0.70
	        424.85 17652.9786    17653.2   4.0 1 1 2.00
	        519.63 17449.8427    17449.9   4.0 1 1 0.72
	        574.97 17331.0809    17330.9   4.0 1 1 0.32
	        613.39 17248.5727    17248.6   4.0 1 1 0.70
	        631.17 17210.3659    17210.4   4.0 1 1 0.36
	        671.49  17123.677    17123.6   4.0 1 1 1.20
	        692.51 17078.4564    17078.3   4.0 1 1 0.70
	        724.77 17008.9968    17008.8   4.0 1 1 1.80
	        749.74 16955.2294    16955.1   4.0 1 1 0.52
	        773.69 16903.6084    16903.7   4.0 1 1 1.45
	        802.80 16840.8539    16840.5   4.0 1 1 0.30
	        863.95 16708.8962    16708.8   4.0 1 1 0.83
	        871.64 16692.3004    16692.1   4.0 1 1 2.30
	        935.73 16553.8394    16553.9   4.0 1 1 0.30
	        959.45 16502.5467    16502.3   4.0 1 1 0.75
	        987.38 16442.1616    16442.1   4.0 1 1 
	       1012.11 16388.6515    16388.5   4.0 1 1 0.25
	       1029.44  16351.155    16351.3   4.0 1 1 0.65
	       1045.12 16317.2032    16317.2   4.0 1 1 0.28
	       1083.07  16235.051    16235.4   4.0 1 1 1.27
	       1101.86 16194.3425    16194.7   4.0 1 1 0.63
	       1132.39  16128.214    16128.6   4.0 1 1 1.71
	       1154.83 16079.5898    16079.8   4.0 1 1 0.65
	       1177.47 16030.5274    16030.8   4.0 1 1 1.53
	       1204.32  15972.316    15972.6   4.0 1 1 0.50
	       1261.72 15847.8315    15848.1   4.0 1 1 0.90
	       1268.53 15833.0741    15833.2   4.0 1 1 2.30
	       1350.50 15655.2369     15655.   4.0 1 1 1.05
	       1361.52 15631.3224    15631.6   4.0 1 1 0.35
	       1377.14 15597.4206    15597.7   4.0 1 1 0.70
	       1403.37 15540.4972    15540.4   4.0 1 1 0.55
	       1453.29 15432.1495    15432.1   4.0 1 1 1.08
	       1470.18 15395.4778    15395.3   4.0 1 1 0.40
	       1499.16 15332.5416    15332.4   4.0 1 1 1.15
	       1519.63 15288.0703    15287.8   4.0 1 1 0.58
	       1541.24  15241.135     15241.   4.0 1 1 1.41
	       1565.88 15187.5846     15187.   4.0 1 1 0.38
	       1620.28 15069.2982    15068.9   4.0 1 1 0.66
	       1626.47 15055.8317    15055.5   4.0 1 1 1.95
	       1703.52 14888.0922    14887.7   4.0 1 1 0.78
	       1728.61 14833.4232     14833.   4.0 1 1 0.62
	       1790.32  14698.839    14698.4   4.0 1 1 0.35
	       1833.35 14604.8909    14604.8   4.0 1 1 0.35
	       1852.24 14563.6099     14564.   4.0 1 1 0.35
	       1872.70 14518.8742     14519.   4.0 1 1 0.60
	       1948.67 14352.5586    14356.7   4.0 1 1 
	       2024.53  14186.106    14186.1   4.0 1 1 0.20
	       2033.90 14165.5227    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3336.32678231634
		3093.170555384407
		2850.301927449051
		2603.819919130966
		2356.746548323105
		2103.715300751352

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,122]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,122]
	units	Angstroms
	features	52
	        207.27  18118.454    18118.5   4.0 1 1 0.50
	        265.46 17994.1094     17994.   4.0 1 1 1.42
	        318.67 17880.3324    17880.3   4.0 1 1 1.20
	        416.11 17671.7346    17671.8   4.0 1 1 0.70
	        424.86 17653.0096    17653.2   4.0 1 1 2.00
	        519.60 17449.8824    17449.9   4.0 1 1 0.72
	        575.02 17330.9278    17330.9   4.0 1 1 0.32
	        613.39 17248.4946    17248.6   4.0 1 1 0.70
	        631.03 17210.5721    17210.4   4.0 1 1 0.36
	        671.46 17123.6234    17123.6   4.0 1 1 1.20
	        692.45 17078.4726    17078.3   4.0 1 1 0.70
	        724.82 17008.7834    17008.8   4.0 1 1 1.80
	        749.74 16955.1061    16955.1   4.0 1 1 0.52
	        773.64 16903.5988    16903.7   4.0 1 1 1.45
	        802.91  16840.503    16840.5   4.0 1 1 0.30
	        863.88 16708.9494    16708.8   4.0 1 1 0.83
	        871.61 16692.2748    16692.1   4.0 1 1 2.30
	        935.69  16553.869    16553.9   4.0 1 1 0.30
	        959.44 16502.5204    16502.3   4.0 1 1 0.75
	        987.31 16442.2751    16442.1   4.0 1 1 
	       1012.10 16388.6634    16388.5   4.0 1 1 0.25
	       1029.44 16351.1384    16351.3   4.0 1 1 0.65
	       1045.29 16316.8479    16317.2   4.0 1 1 0.28
	       1082.98 16235.2567    16235.4   4.0 1 1 1.27
	       1101.80 16194.5136    16194.7   4.0 1 1 0.63
	       1132.33 16128.3788    16128.6   4.0 1 1 1.71
	       1154.78 16079.7354    16079.8   4.0 1 1 0.65
	       1177.42 16030.6717    16030.8   4.0 1 1 1.53
	       1204.29 15972.4395    15972.6   4.0 1 1 0.50
	       1261.63 15848.1017    15848.1   4.0 1 1 0.90
	       1268.51 15833.1702    15833.2   4.0 1 1 2.30
	       1350.53 15655.2179     15655.   4.0 1 1 1.05
	       1361.46 15631.4932    15631.6   4.0 1 1 0.35
	       1377.05 15597.6456    15597.7   4.0 1 1 0.70
	       1403.33 15540.5973    15540.4   4.0 1 1 0.55
	       1453.27 15432.1272    15432.1   4.0 1 1 1.08
	       1470.24 15395.2802    15395.3   4.0 1 1 0.40
	       1499.11 15332.5331    15332.4   4.0 1 1 1.15
	       1519.54 15288.1338    15287.8   4.0 1 1 0.58
	       1541.24 15240.9521     15241.   4.0 1 1 1.41
	       1565.79 15187.5751     15187.   4.0 1 1 0.38
	       1620.32 15068.8993    15068.9   4.0 1 1 0.66
	       1626.50  15055.456    15055.5   4.0 1 1 1.95
	       1703.52 14887.6663    14887.7   4.0 1 1 0.78
	       1728.55 14833.0741     14833.   4.0 1 1 0.62
	       1790.32 14698.2651    14698.4   4.0 1 1 0.35
	       1833.37 14604.1992    14604.8   4.0 1 1 0.35
	       1852.11 14563.2187     14564.   4.0 1 1 0.35
	       1872.61  14518.375     14519.   4.0 1 1 0.60
	       1945.79 14358.0968    14356.7   4.0 1 1 
	       2022.58 14189.5406    14186.1   4.0 1 1 0.20
	       2036.23 14159.5428    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3335.131894718626
		3093.325183232465
		2850.21336101137
		2603.90803224145
		2356.509642206542
		2103.709849006664

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,123]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,123]
	units	Angstroms
	features	52
	        207.24 18118.6246    18118.5   4.0 1 1 0.50
	        265.49 17993.9671     17994.   4.0 1 1 1.42
	        318.62 17880.2473    17880.3   4.0 1 1 1.20
	        416.12 17671.5121    17671.8   4.0 1 1 0.70
	        424.76 17653.0154    17653.2   4.0 1 1 2.00
	        519.50  17449.985    17449.9   4.0 1 1 0.72
	        575.06 17330.7957    17330.9   4.0 1 1 0.32
	        613.43 17248.4211    17248.6   4.0 1 1 0.70
	        631.07 17210.5253    17210.4   4.0 1 1 0.36
	        671.34 17123.9694    17123.6   4.0 1 1 1.20
	        692.49 17078.4827    17078.3   4.0 1 1 0.70
	        724.83 17008.8763    17008.8   4.0 1 1 1.80
	        749.68 16955.3492    16955.1   4.0 1 1 0.52
	        773.55 16903.9152    16903.7   4.0 1 1 1.45
	        802.97  16840.485    16840.5   4.0 1 1 0.30
	        863.96 16708.8885    16708.8   4.0 1 1 0.83
	        871.55 16692.4901    16692.1   4.0 1 1 2.30
	        935.67 16553.9464    16553.9   4.0 1 1 0.30
	        959.51 16502.4119    16502.3   4.0 1 1 0.75
	        987.29 16442.3082    16442.1   4.0 1 1 
	       1012.23 16388.3502    16388.5   4.0 1 1 0.25
	       1029.41 16351.1631    16351.3   4.0 1 1 0.65
	       1045.22  16316.946    16317.2   4.0 1 1 0.28
	       1083.04 16235.0445    16235.4   4.0 1 1 1.27
	       1101.81 16194.3819    16194.7   4.0 1 1 0.63
	       1132.33 16128.2512    16128.6   4.0 1 1 1.71
	       1154.76 16079.6311    16079.8   4.0 1 1 0.65
	       1177.39 16030.5744    16030.8   4.0 1 1 1.53
	       1204.23 15972.3776    15972.6   4.0 1 1 0.50
	       1261.64 15847.8615    15848.1   4.0 1 1 0.90
	       1268.49  15833.009    15833.2   4.0 1 1 2.30
	       1350.51 15655.0532     15655.   4.0 1 1 1.05
	       1361.45 15631.3036    15631.6   4.0 1 1 0.35
	       1377.04 15597.4915    15597.7   4.0 1 1 0.70
	       1403.29 15540.5119    15540.4   4.0 1 1 0.55
	       1453.22  15432.149    15432.1   4.0 1 1 1.08
	       1470.21 15395.2688    15395.3   4.0 1 1 0.40
	       1499.09 15332.5633    15332.4   4.0 1 1 1.15
	       1519.58 15288.0647    15287.8   4.0 1 1 0.58
	       1541.22 15241.0689     15241.   4.0 1 1 1.41
	       1565.81   15187.66     15187.   4.0 1 1 0.38
	       1620.27 15069.2949    15068.9   4.0 1 1 0.66
	       1626.45 15055.8673    15055.5   4.0 1 1 1.95
	       1703.52 14888.2362    14887.7   4.0 1 1 0.78
	       1728.53   14833.79     14833.   4.0 1 1 0.62
	       1790.30 14699.2644    14698.4   4.0 1 1 0.35
	       1833.30 14605.5125    14604.8   4.0 1 1 0.35
	       1851.77 14565.2183     14564.   4.0 1 1 0.35
	       1874.00 14516.7047     14519.   4.0 1 1 0.60
	       1950.32 14349.9626    14356.7   4.0 1 1 
	       2023.35 14190.0991    14186.1   4.0 1 1 0.20
	       2035.54 14163.4082    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3338.007234034448
		3092.989239405828
		2850.360514077862
		2603.74981825754
		2356.803568611927
		2105.122395075286

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,124]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,124]
	units	Angstroms
	features	50
	        207.16 18118.4945    18118.5   4.0 1 1 0.50
	        265.45 17994.0015     17994.   4.0 1 1 1.42
	        318.61  17880.373    17880.3   4.0 1 1 1.20
	        416.13 17671.6666    17671.8   4.0 1 1 0.70
	        424.77 17653.1597    17653.2   4.0 1 1 2.00
	        519.55 17449.9613    17449.9   4.0 1 1 0.72
	        575.04 17330.8428    17330.9   4.0 1 1 0.32
	        613.35 17248.5466    17248.6   4.0 1 1 0.70
	        631.07 17210.4473    17210.4   4.0 1 1 0.36
	        671.39  17123.738    17123.6   4.0 1 1 1.20
	        692.50 17078.3082    17078.3   4.0 1 1 0.70
	        724.79  17008.784    17008.8   4.0 1 1 1.80
	        773.61 16903.6187    16903.7   4.0 1 1 0.52
	        802.84 16840.5944    16840.5   4.0 1 1 1.45
	        863.92 16708.8166    16708.8   4.0 1 1 0.30
	        871.64 16692.1556    16692.1   4.0 1 1 0.83
	        935.62 16553.9697    16553.9   4.0 1 1 2.30
	        959.45 16502.4659    16502.3   4.0 1 1 0.30
	        987.33 16442.1819    16442.1   4.0 1 1 0.75
	       1012.15 16388.4901    16388.5   4.0 1 1 
	       1029.32 16351.3487    16351.3   4.0 1 1 0.25
	       1045.15 16317.0944    16317.2   4.0 1 1 0.65
	       1082.92 16235.3296    16235.4   4.0 1 1 0.28
	       1101.72 16194.6228    16194.7   4.0 1 1 1.27
	       1132.26 16128.4827    16128.6   4.0 1 1 0.63
	       1154.77 16079.7165    16079.8   4.0 1 1 1.71
	       1177.41 16030.6506    16030.8   4.0 1 1 0.65
	       1204.22 15972.5345    15972.6   4.0 1 1 1.53
	       1261.62 15848.0513    15848.1   4.0 1 1 0.50
	       1268.49 15833.1536    15833.2   4.0 1 1 0.90
	       1350.51 15655.1587     15655.   4.0 1 1 2.30
	       1361.48 15631.3451    15631.6   4.0 1 1 1.05
	       1377.03 15597.5703    15597.7   4.0 1 1 0.35
	       1403.32 15540.4991    15540.4   4.0 1 1 0.70
	       1453.15  15432.241    15432.1   4.0 1 1 0.55
	       1470.22 15395.1605    15395.3   4.0 1 1 1.08
	       1499.07 15332.4595    15332.4   4.0 1 1 0.40
	       1519.54 15287.9657    15287.8   4.0 1 1 1.15
	       1541.19 15240.8969     15241.   4.0 1 1 0.58
	       1565.78 15187.4384     15187.   4.0 1 1 1.41
	       1620.30 15068.8266    15068.9   4.0 1 1 0.38
	       1626.46  15055.421    15055.5   4.0 1 1 0.66
	       1703.54 14887.6172    14887.7   4.0 1 1 1.95
	       1728.57 14833.0783     14833.   4.0 1 1 0.78
	       1790.85 14697.3444    14698.4   4.0 1 1 0.62
	       1830.74 14610.3532    14604.8   4.0 1 1 0.35
	       1854.13 14559.3346     14564.   4.0 1 1 0.35
	       1871.65 14521.0908     14519.   4.0 1 1 0.35
	       1948.70 14352.8384    14356.7   4.0 1 1 0.60
	       2024.07  14188.059    14186.1   4.0 1 1 
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3334.395183318337
		3093.352593636087
		2850.191904460132
		2603.916458016979
		2356.391755516232
		2106.228515258096

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,125]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,125]
	units	Angstroms
	features	52
	        207.13 18118.3605    18118.5   4.0 1 1 0.50
	        265.45 17993.9921     17994.   4.0 1 1 1.42
	        318.56 17880.5796    17880.3   4.0 1 1 1.20
	        416.11  17671.831    17671.8   4.0 1 1 0.70
	        424.76 17653.2823    17653.2   4.0 1 1 2.00
	        519.58 17449.9118    17449.9   4.0 1 1 0.72
	        574.96 17330.9351    17330.9   4.0 1 1 0.32
	        613.33 17248.4536    17248.6   4.0 1 1 0.70
	        630.99 17210.4766    17210.4   4.0 1 1 0.36
	        671.36 17123.6093    17123.6   4.0 1 1 1.20
	        692.46 17078.2036    17078.3   4.0 1 1 0.70
	        724.79 17008.5748    17008.8   4.0 1 1 1.80
	        749.69 16954.9517    16955.1   4.0 1 1 0.52
	        773.60 16903.4142    16903.7   4.0 1 1 1.45
	        802.87  16840.341    16840.5   4.0 1 1 0.30
	        863.94 16708.6213    16708.8   4.0 1 1 0.83
	        871.53  16692.248    16692.1   4.0 1 1 2.30
	        935.62 16553.8757    16553.9   4.0 1 1 0.30
	        959.41 16502.4975    16502.3   4.0 1 1 0.75
	        987.26 16442.3127    16442.1   4.0 1 1 
	       1012.07 16388.7002    16388.5   4.0 1 1 0.25
	       1029.31 16351.4111    16351.3   4.0 1 1 0.65
	       1045.21 16317.0377    16317.2   4.0 1 1 0.28
	       1083.02 16235.2352    16235.4   4.0 1 1 1.27
	       1101.76 16194.6791    16194.7   4.0 1 1 0.63
	       1132.19 16128.7886    16128.6   4.0 1 1 1.71
	       1154.79 16079.8486    16079.8   4.0 1 1 0.65
	       1177.36  16030.951    16030.8   4.0 1 1 1.53
	       1204.21  15972.771    15972.6   4.0 1 1 0.50
	       1261.59 15848.3403    15848.1   4.0 1 1 0.90
	       1268.51 15833.3254    15833.2   4.0 1 1 2.30
	       1350.47 15655.4209     15655.   4.0 1 1 1.05
	       1361.44 15631.5964    15631.6   4.0 1 1 0.35
	       1377.03 15597.7314    15597.7   4.0 1 1 0.70
	       1403.29 15540.6649    15540.4   4.0 1 1 0.55
	       1453.21  15432.127    15432.1   4.0 1 1 1.08
	       1470.14  15395.294    15395.3   4.0 1 1 0.40
	       1499.11 15332.2447    15332.4   4.0 1 1 1.15
	       1519.51 15287.8459    15287.8   4.0 1 1 0.58
	       1541.19 15240.6412     15241.   4.0 1 1 1.41
	       1565.78 15187.0699     15187.   4.0 1 1 0.38
	       1620.28 15068.2825    15068.9   4.0 1 1 0.66
	       1626.42 15054.8841    15055.5   4.0 1 1 1.95
	       1703.61 14886.4657    14887.7   4.0 1 1 0.78
	       1728.56 14831.9654     14833.   4.0 1 1 0.62
	       1789.69 14698.3869    14698.4   4.0 1 1 0.35
	       1830.92 14608.2114    14604.8   4.0 1 1 0.35
	       1851.07 14564.1279     14564.   4.0 1 1 0.35
	       1873.14 14515.8012     14519.   4.0 1 1 0.60
	       1943.53 14361.5921    14356.7   4.0 1 1 
	       2024.17 14184.7059    14186.1   4.0 1 1 0.20
	       2034.66 14161.6798    14162.9   4.0 1 1 0.22
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3331.17579183411
		3093.718935072905
		2849.998950572571
		2604.127867373187
		2355.904212481692
		2104.6404787581

# Tue 18:28:12 03-Feb-2009
begin	identify sample_id_H[*,126]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,126]
	units	Angstroms
	features	48
	        207.16 18118.3313    18118.5   4.0 1 1 0.50
	        265.41 17994.0631     17994.   4.0 1 1 1.42
	        318.56 17880.5151    17880.3   4.0 1 1 1.20
	        416.04 17671.9151    17671.8   4.0 1 1 0.70
	        424.74 17653.2612    17653.2   4.0 1 1 2.00
	        519.57  17449.897    17449.9   4.0 1 1 0.72
	        574.98  17330.893    17330.9   4.0 1 1 0.32
	        613.34 17248.4215    17248.6   4.0 1 1 0.70
	        631.06 17210.3204    17210.4   4.0 1 1 0.36
	        671.37 17123.5988    17123.6   4.0 1 1 1.20
	        692.45 17078.2392    17078.3   4.0 1 1 0.70
	        724.74 17008.7132    17008.8   4.0 1 1 1.80
	        749.72 16954.9174    16955.1   4.0 1 1 0.52
	        773.57 16903.5197    16903.7   4.0 1 1 1.45
	        802.84 16840.4373    16840.5   4.0 1 1 0.30
	        863.94 16708.6477    16708.8   4.0 1 1 0.83
	        871.56 16692.2118    16692.1   4.0 1 1 2.30
	        935.55  16554.055    16553.9   4.0 1 1 0.30
	        959.48 16502.3684    16502.3   4.0 1 1 0.75
	        987.27 16442.2964    16442.1   4.0 1 1 
	       1012.07 16388.6963    16388.5   4.0 1 1 0.25
	       1029.35 16351.3195    16351.3   4.0 1 1 0.65
	       1045.14 16317.1753    16317.2   4.0 1 1 0.28
	       1083.02 16235.2165    16235.4   4.0 1 1 1.27
	       1101.80 16194.5688    16194.7   4.0 1 1 0.63
	       1132.24   16128.66    16128.6   4.0 1 1 1.71
	       1154.71 16079.9772    16079.8   4.0 1 1 0.65
	       1177.36 16030.9193    16030.8   4.0 1 1 1.53
	       1204.25 15972.6301    15972.6   4.0 1 1 0.50
	       1261.59 15848.2858    15848.1   4.0 1 1 0.90
	       1268.46  15833.389    15833.2   4.0 1 1 2.30
	       1350.45 15655.4135     15655.   4.0 1 1 1.05
	       1361.41 15631.5987    15631.6   4.0 1 1 0.35
	       1377.04 15597.6535    15597.7   4.0 1 1 0.70
	       1403.26 15540.6682    15540.4   4.0 1 1 0.55
	       1453.20 15432.1046    15432.1   4.0 1 1 1.08
	       1470.13 15395.2764    15395.3   4.0 1 1 0.40
	       1499.12 15332.2083    15332.4   4.0 1 1 1.15
	       1519.52 15287.8194    15287.8   4.0 1 1 0.58
	       1541.14 15240.7627     15241.   4.0 1 1 1.41
	       1565.79 15187.0998     15187.   4.0 1 1 0.38
	       1620.36 15068.2244    15068.9   4.0 1 1 0.66
	       1626.52 15054.8197    15055.5   4.0 1 1 1.95
	       1703.66 14886.6925    14887.7   4.0 1 1 0.78
	       1728.71 14832.0699     14833.   4.0 1 1 0.62
	       1789.42 14699.6381    14698.4   4.0 1 1 0.35
	       1871.20 14521.1838     14519.   4.0 1 1 0.35
	       2035.67 14162.0062    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3332.027804139718
		3093.626459951448
		2850.035388984953
		2604.09237174171
		2355.948837969186
		2107.171243069466

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,127]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,127]
	units	Angstroms
	features	49
	        207.14 18118.3812    18118.5   4.0 1 1 0.50
	        265.44 17994.0139     17994.   4.0 1 1 1.42
	        318.59  17880.459    17880.3   4.0 1 1 1.20
	        416.00 17671.9588    17671.8   4.0 1 1 0.70
	        424.72  17653.278    17653.2   4.0 1 1 2.00
	        519.55 17449.8803    17449.9   4.0 1 1 0.72
	        574.99 17330.7909    17330.9   4.0 1 1 0.32
	        613.33 17248.3652    17248.6   4.0 1 1 0.70
	        630.93 17210.5144    17210.4   4.0 1 1 0.36
	        671.28 17123.7068    17123.6   4.0 1 1 1.20
	        692.44 17078.1616    17078.3   4.0 1 1 0.70
	        724.71 17008.6875    17008.8   4.0 1 1 1.80
	        749.59 16955.0962    16955.1   4.0 1 1 0.52
	        773.55 16903.4574    16903.7   4.0 1 1 1.45
	        802.78 16840.4577    16840.5   4.0 1 1 0.30
	        863.94 16708.5613    16708.8   4.0 1 1 0.83
	        871.57 16692.0968    16692.1   4.0 1 1 2.30
	        935.59 16553.8865    16553.9   4.0 1 1 0.30
	        959.42 16502.4191    16502.3   4.0 1 1 0.75
	        987.17 16442.4601    16442.1   4.0 1 1 
	       1012.02 16388.7465    16388.5   4.0 1 1 0.25
	       1029.39 16351.1879    16351.3   4.0 1 1 0.65
	       1045.18  16317.027    16317.2   4.0 1 1 0.28
	       1082.97 16235.2686    16235.4   4.0 1 1 1.27
	       1101.72 16194.7048    16194.7   4.0 1 1 0.63
	       1132.15 16128.8202    16128.6   4.0 1 1 1.71
	       1154.80 16079.7709    16079.8   4.0 1 1 0.65
	       1177.36 16030.8765    16030.8   4.0 1 1 1.53
	       1204.18 15972.7521    15972.6   4.0 1 1 0.50
	       1261.62 15848.2078    15848.1   4.0 1 1 0.90
	       1268.44 15833.4131    15833.2   4.0 1 1 2.30
	       1350.39 15655.5187     15655.   4.0 1 1 1.05
	       1361.38 15631.6538    15631.6   4.0 1 1 0.35
	       1376.94 15597.8527    15597.7   4.0 1 1 0.70
	       1403.27  15540.632    15540.4   4.0 1 1 0.55
	       1453.26 15431.9473    15432.1   4.0 1 1 1.08
	       1470.16 15395.1919    15395.3   4.0 1 1 0.40
	       1499.06  15332.321    15332.4   4.0 1 1 1.15
	       1519.57 15287.6938    15287.8   4.0 1 1 0.58
	       1541.20 15240.6393     15241.   4.0 1 1 1.41
	       1565.98 15186.7219     15187.   4.0 1 1 0.38
	       1620.35 15068.3689    15068.9   4.0 1 1 0.66
	       1626.58  15054.815    15055.5   4.0 1 1 1.95
	       1702.05 14890.5599    14887.7   4.0 1 1 0.78
	       1730.10 14829.4969     14833.   4.0 1 1 0.62
	       1791.90  14695.038    14698.4   4.0 1 1 0.35
	       1849.30 14570.1856     14564.   4.0 1 1 0.35
	       2026.98 14184.2903    14186.1   4.0 1 1 0.35
	       2036.58 14163.4649    14162.9   4.0 1 1 0.60
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3331.823185317345
		3093.670227367095
		2849.996248687751
		2604.111902520385
		2355.892486899664
		2111.018211509532

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,128]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,128]
	units	Angstroms
	features	51
	        207.09 18118.6635    18118.5   4.0 1 1 0.50
	        265.37 17993.9739     17994.   4.0 1 1 1.42
	        318.54 17880.2378    17880.3   4.0 1 1 1.20
	        416.14 17671.3426    17671.8   4.0 1 1 0.70
	        424.73 17652.9481    17653.2   4.0 1 1 2.00
	        519.47 17449.9422    17449.9   4.0 1 1 0.72
	        574.92 17331.0085    17330.9   4.0 1 1 0.32
	        613.29   17248.62    17248.6   4.0 1 1 0.70
	        631.04 17210.4809    17210.4   4.0 1 1 0.36
	        671.26 17124.0292    17123.6   4.0 1 1 1.20
	        692.47 17078.4107    17078.3   4.0 1 1 0.70
	        724.80  17008.802    17008.8   4.0 1 1 1.80
	        749.65 16955.2915    16955.1   4.0 1 1 0.52
	        773.47 16903.9418    16903.7   4.0 1 1 1.45
	        802.80 16840.7017    16840.5   4.0 1 1 0.30
	        863.85 16708.9388    16708.8   4.0 1 1 0.83
	        871.50 16692.4166    16692.1   4.0 1 1 2.30
	        935.59 16553.9157    16553.9   4.0 1 1 0.30
	        959.33 16502.5649    16502.3   4.0 1 1 0.75
	        987.21 16442.2494    16442.1   4.0 1 1 
	       1012.10 16388.3895    16388.5   4.0 1 1 0.25
	       1029.41 16350.9328    16351.3   4.0 1 1 0.65
	       1045.23 16316.6804    16317.2   4.0 1 1 0.28
	       1082.84 16235.2238    16235.4   4.0 1 1 1.27
	       1101.75  16194.268    16194.7   4.0 1 1 0.63
	       1132.19 16128.3201    16128.6   4.0 1 1 1.71
	       1154.76 16079.4171    16079.8   4.0 1 1 0.65
	       1177.28 16030.6164    16030.8   4.0 1 1 1.53
	       1204.21 15972.2349    15972.6   4.0 1 1 0.50
	       1261.58 15847.8502    15848.1   4.0 1 1 0.90
	       1268.48 15832.8959    15833.2   4.0 1 1 2.30
	       1350.42 15655.2403     15655.   4.0 1 1 1.05
	       1361.40 15631.4203    15631.6   4.0 1 1 0.35
	       1376.98 15597.6546    15597.7   4.0 1 1 0.70
	       1403.32 15540.5398    15540.4   4.0 1 1 0.55
	       1453.30 15432.1943    15432.1   4.0 1 1 1.08
	       1470.24 15395.4449    15395.3   4.0 1 1 0.40
	       1499.24 15332.5691    15332.4   4.0 1 1 1.15
	       1519.65 15288.3031    15287.8   4.0 1 1 0.58
	       1541.27 15241.4056     15241.   4.0 1 1 1.41
	       1566.09 15187.5563     15187.   4.0 1 1 0.38
	       1620.87 15068.6877    15068.9   4.0 1 1 0.66
	       1627.01 15055.3602    15055.5   4.0 1 1 1.95
	       1702.34 14891.7224    14887.7   4.0 1 1 0.78
	       1729.97 14831.6576     14833.   4.0 1 1 0.62
	       1834.66 14603.7625    14604.8   4.0 1 1 0.35
	       1853.28 14563.1774     14564.   4.0 1 1 0.35
	       1874.18 14517.6055     14519.   4.0 1 1 0.35
	       1948.30 14355.7669    14356.7   4.0 1 1 0.60
	       2026.80 14183.9544    14186.1   4.0 1 1 
	       2034.73 14166.5681    14162.9   4.0 1 1 0.20
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3337.671498246304
		3092.936161281706
		2850.37177676636
		2603.640608850916
		2357.246038496373
		2104.855662250421

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,129]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,129]
	units	Angstroms
	features	48
	        207.05 18118.6238    18118.5   4.0 1 1 0.50
	        265.36 17993.9388     17994.   4.0 1 1 1.42
	        318.50 17880.2447    17880.3   4.0 1 1 1.20
	        415.95 17671.6784    17671.8   4.0 1 1 0.70
	        424.68 17652.9888    17653.2   4.0 1 1 2.00
	        519.48 17449.8504    17449.9   4.0 1 1 0.72
	        574.95 17330.8309    17330.9   4.0 1 1 0.32
	        613.19 17248.7362    17248.6   4.0 1 1 0.70
	        630.98 17210.5089    17210.4   4.0 1 1 0.36
	        671.33 17123.7699    17123.6   4.0 1 1 1.20
	        692.40 17078.4409    17078.3   4.0 1 1 0.70
	        724.69 17008.9301    17008.8   4.0 1 1 1.80
	        749.54 16955.3988    16955.1   4.0 1 1 0.52
	        773.49 16903.7837    16903.7   4.0 1 1 1.45
	        802.90 16840.3669    16840.5   4.0 1 1 0.30
	        863.82 16708.9049    16708.8   4.0 1 1 0.83
	        871.55 16692.2185    16692.1   4.0 1 1 2.30
	        935.50 16554.0324    16553.9   4.0 1 1 0.30
	        959.34 16502.4961    16502.3   4.0 1 1 0.75
	        987.31 16442.0145    16442.1   4.0 1 1 
	       1012.11 16388.3615    16388.5   4.0 1 1 0.25
	       1029.36 16351.0264    16351.3   4.0 1 1 0.65
	       1045.25 16316.6337    16317.2   4.0 1 1 0.28
	       1082.84 16235.2634    16235.4   4.0 1 1 1.27
	       1101.68 16194.4553    16194.7   4.0 1 1 0.63
	       1132.15  16128.464    16128.6   4.0 1 1 1.71
	       1154.74 16079.5432    16079.8   4.0 1 1 0.65
	       1177.32 16030.6129    16030.8   4.0 1 1 1.53
	       1204.14 15972.5057    15972.6   4.0 1 1 0.50
	       1261.58 15848.0231    15848.1   4.0 1 1 0.90
	       1268.48 15833.0723    15833.2   4.0 1 1 2.30
	       1350.46 15655.4117     15655.   4.0 1 1 1.05
	       1361.42 15631.6514    15631.6   4.0 1 1 0.35
	       1377.10 15597.6778    15597.7   4.0 1 1 0.70
	       1403.37 15540.7363    15540.4   4.0 1 1 0.55
	       1453.38 15432.3645    15432.1   4.0 1 1 1.08
	       1470.35 15395.6028    15395.3   4.0 1 1 0.40
	       1499.36  15332.715    15332.4   4.0 1 1 1.15
	       1519.77 15288.4722    15287.8   4.0 1 1 0.58
	       1541.32 15241.7666     15241.   4.0 1 1 1.41
	       1566.34 15187.5023     15187.   4.0 1 1 0.38
	       1620.97 15069.0248    15068.9   4.0 1 1 0.66
	       1705.44 14885.6549    14887.7   4.0 1 1 1.95
	       1730.62 14830.9556     14833.   4.0 1 1 0.78
	       1874.66 14517.5315     14519.   4.0 1 1 0.62
	       1945.79 14362.3585    14356.7   4.0 1 1 0.35
	       2027.29 14184.1919    14186.1   4.0 1 1 0.35
	       2037.31 14162.2633    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3337.07225357898
		3092.993743542071
		2850.318314874268
		2603.678460933851
		2357.417530798967
		2105.493896293663

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,130]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,130]
	units	Angstroms
	features	49
	        265.39 17994.0383     17994.   4.0 1 1 0.50
	        318.49 17880.3987    17880.3   4.0 1 1 1.42
	        415.97 17671.6675    17671.8   4.0 1 1 1.20
	        424.72 17652.9144    17653.2   4.0 1 1 0.70
	        519.43 17449.8923    17449.9   4.0 1 1 2.00
	        574.93 17330.8139    17330.9   4.0 1 1 0.72
	        613.21 17248.5946    17248.6   4.0 1 1 0.32
	        630.91 17210.5762    17210.4   4.0 1 1 0.70
	        671.33 17123.6666    17123.6   4.0 1 1 0.36
	        692.35 17078.4413    17078.3   4.0 1 1 1.20
	        724.67 17008.8727    17008.8   4.0 1 1 0.70
	        749.55 16955.2998    16955.1   4.0 1 1 1.80
	        773.46  16903.761    16903.7   4.0 1 1 0.52
	        802.75 16840.6096    16840.5   4.0 1 1 1.45
	        863.83 16708.8118    16708.8   4.0 1 1 0.30
	        871.49 16692.2783    16692.1   4.0 1 1 0.83
	        935.57 16553.8578    16553.9   4.0 1 1 2.30
	        959.40 16502.3539    16502.3   4.0 1 1 0.30
	        987.20  16442.228    16442.1   4.0 1 1 0.75
	       1012.03 16388.5265    16388.5   4.0 1 1 
	       1029.30  16351.176    16351.3   4.0 1 1 0.25
	       1045.21 16316.7439    16317.2   4.0 1 1 0.65
	       1082.79 16235.4074    16235.4   4.0 1 1 0.28
	       1101.66 16194.5388    16194.7   4.0 1 1 1.27
	       1132.19 16128.4426    16128.6   4.0 1 1 0.63
	       1154.72  16079.645    16079.8   4.0 1 1 1.71
	       1177.35 16030.6252    16030.8   4.0 1 1 0.65
	       1204.22 15972.4097    15972.6   4.0 1 1 1.53
	       1261.64 15847.9739    15848.1   4.0 1 1 0.50
	       1268.51 15833.0919    15833.2   4.0 1 1 0.90
	       1350.56 15655.2455     15655.   4.0 1 1 2.30
	       1361.53  15631.471    15631.6   4.0 1 1 1.05
	       1377.27 15597.3557    15597.7   4.0 1 1 0.35
	       1403.41 15540.6994    15540.4   4.0 1 1 0.70
	       1453.51 15432.0944    15432.1   4.0 1 1 0.55
	       1470.31 15395.6764    15395.3   4.0 1 1 1.08
	       1500.21 15330.8638    15332.4   4.0 1 1 0.40
	       1520.16 15287.5867    15287.8   4.0 1 1 1.15
	       1538.22 15248.4324     15241.   4.0 1 1 0.58
	       1567.51  15184.891     15187.   4.0 1 1 1.41
	       1622.84  15064.833    15068.9   4.0 1 1 0.38
	       1628.66 15052.2042    15055.5   4.0 1 1 0.66
	       1726.98 14838.6252     14833.   4.0 1 1 1.95
	       1790.59 14700.2669    14698.4   4.0 1 1 0.78
	       1833.08  14607.767    14604.8   4.0 1 1 0.62
	       1853.73 14562.7879     14564.   4.0 1 1 0.35
	       1876.49 14513.1615     14519.   4.0 1 1 0.35
	       1948.57 14355.8789    14356.7   4.0 1 1 0.35
	       2036.08 14164.5016    14162.9   4.0 1 1 0.60
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3337.413901359726
		3093.065110097614
		2850.260851581353
		2603.742306648626
		2357.280647011043
		2105.540003838892

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,131]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,131]
	units	Angstroms
	features	46
	        207.10 18117.8648    18118.5   4.0 1 1 0.50
	        265.38 17994.1662     17994.   4.0 1 1 1.42
	        318.47 17881.0483    17880.3   4.0 1 1 1.20
	        416.03 17672.3449    17671.8   4.0 1 1 0.70
	        424.74 17653.6673    17653.2   4.0 1 1 2.00
	        519.40 17450.2973    17449.9   4.0 1 1 0.72
	        574.85 17330.9453    17330.9   4.0 1 1 0.32
	        613.26 17248.2087    17248.6   4.0 1 1 0.70
	        630.90 17210.2063    17210.4   4.0 1 1 0.36
	        671.37 17122.9853    17123.6   4.0 1 1 1.20
	        692.37 17077.7395    17078.3   4.0 1 1 0.70
	        724.66 17008.1683    17008.8   4.0 1 1 1.80
	        749.62 16954.3944    16955.1   4.0 1 1 0.52
	        773.49 16902.9763    16903.7   4.0 1 1 1.45
	        802.82 16839.7643    16840.5   4.0 1 1 0.30
	        863.74 16708.5033    16708.8   4.0 1 1 0.83
	        871.48 16691.8281    16692.1   4.0 1 1 2.30
	        935.56 16553.7329    16553.9   4.0 1 1 0.30
	        959.32  16502.503    16502.3   4.0 1 1 0.75
	        987.22 16442.3411    16442.1   4.0 1 1 
	       1012.06 16388.7661    16388.5   4.0 1 1 0.25
	       1029.30 16351.5666    16351.3   4.0 1 1 0.65
	       1045.18 16317.3117    16317.2   4.0 1 1 0.28
	       1082.89 16235.9154    16235.4   4.0 1 1 1.27
	       1101.72 16195.2621    16194.7   4.0 1 1 0.63
	       1132.27 16129.2737    16128.6   4.0 1 1 1.71
	       1154.70 16080.7899    16079.8   4.0 1 1 0.65
	       1177.40   16031.72    16030.8   4.0 1 1 1.53
	       1204.28 15973.5897    15972.6   4.0 1 1 0.50
	       1261.71 15849.3123    15848.1   4.0 1 1 0.90
	       1268.61 15834.3608    15833.2   4.0 1 1 2.30
	       1350.77 15656.2471     15655.   4.0 1 1 1.05
	       1361.52 15632.9219    15631.6   4.0 1 1 0.35
	       1377.31 15598.6496    15597.7   4.0 1 1 0.70
	       1403.63 15541.4824    15540.4   4.0 1 1 0.55
	       1455.02 15429.7698    15432.1   4.0 1 1 1.08
	       1524.49  15278.616    15287.8   4.0 1 1 0.40
	       1542.60 15239.2007     15241.   4.0 1 1 1.15
	       1629.17 15050.7253    15055.5   4.0 1 1 0.58
	       1726.66 14838.5085     14833.   4.0 1 1 1.41
	       1790.99 14698.6113    14698.4   4.0 1 1 0.38
	       1849.42 14571.6793     14564.   4.0 1 1 0.66
	       1874.55 14517.1491     14519.   4.0 1 1 1.95
	       1948.87 14356.1066    14356.7   4.0 1 1 0.78
	       2026.82  14187.675    14186.1   4.0 1 1 0.62
	       2039.97 14159.3037    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3321.771553240127
		3094.794073179272
		2849.431543149787
		2604.694374759377
		2355.713188496524
		2114.44221092217

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,132]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,132]
	units	Angstroms
	features	48
	        207.19 18118.2964    18118.5   4.0 1 1 0.50
	        265.43 17994.0827     17994.   4.0 1 1 1.42
	        318.56 17880.5843    17880.3   4.0 1 1 1.20
	        416.08  17671.843    17671.8   4.0 1 1 0.70
	        424.75 17653.2526    17653.2   4.0 1 1 2.00
	        519.49 17449.9961    17449.9   4.0 1 1 0.72
	        574.90 17330.9299    17330.9   4.0 1 1 0.32
	        613.24 17248.4929    17248.6   4.0 1 1 0.70
	        630.97  17210.374    17210.4   4.0 1 1 0.36
	        671.30 17123.5756    17123.6   4.0 1 1 1.20
	        692.42  17078.128    17078.3   4.0 1 1 0.70
	        724.75 17008.5115    17008.8   4.0 1 1 1.80
	        749.64 16954.8833    16955.1   4.0 1 1 0.52
	        773.53 16903.4221    16903.7   4.0 1 1 1.45
	        802.72 16840.5022    16840.5   4.0 1 1 0.30
	        863.81 16708.7738    16708.8   4.0 1 1 0.83
	        871.48 16692.2276    16692.1   4.0 1 1 2.30
	        935.54 16553.9958    16553.9   4.0 1 1 0.30
	        959.49 16502.2782    16502.3   4.0 1 1 0.75
	        987.29 16442.2429    16442.1   4.0 1 1 
	       1012.16 16388.5202    16388.5   4.0 1 1 0.25
	       1029.34 16351.3873    16351.3   4.0 1 1 0.65
	       1045.21 16317.0804    16317.2   4.0 1 1 0.28
	       1083.01 16235.3707    16235.4   4.0 1 1 1.27
	       1101.81 16194.7113    16194.7   4.0 1 1 0.63
	       1132.40 16128.5417    16128.6   4.0 1 1 1.71
	       1154.90 16079.8527    16079.8   4.0 1 1 0.65
	       1177.48 16030.9852    16030.8   4.0 1 1 1.53
	       1204.45 15972.5813    15972.6   4.0 1 1 0.50
	       1261.90 15848.1574    15848.1   4.0 1 1 0.90
	       1268.70 15833.4275    15833.2   4.0 1 1 2.30
	       1350.04  15657.092     15655.   4.0 1 1 1.05
	       1402.16 15544.0116    15540.4   4.0 1 1 0.35
	       1454.72 15429.9229    15432.1   4.0 1 1 0.70
	       1468.71 15399.5355    15395.3   4.0 1 1 0.55
	       1503.35 15324.3095    15332.4   4.0 1 1 1.08
	       1521.07 15285.8021    15287.8   4.0 1 1 0.40
	       1542.95 15238.2473     15241.   4.0 1 1 1.15
	       1566.20  15187.721     15187.   4.0 1 1 0.58
	       1618.61 15073.7467    15068.9   4.0 1 1 1.41
	       1628.96 15051.2318    15055.5   4.0 1 1 0.38
	       1702.16  14891.911    14887.7   4.0 1 1 0.66
	       1790.65 14699.1458    14698.4   4.0 1 1 1.95
	       1853.03 14563.1621     14564.   4.0 1 1 0.78
	       1874.29  14516.789     14519.   4.0 1 1 0.62
	       1946.01 14360.2865    14356.7   4.0 1 1 0.35
	       2026.60 14184.2987    14186.1   4.0 1 1 0.35
	       2036.35 14162.9782    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3331.037362814672
		3093.790870747366
		2849.928045611553
		2604.176990546132
		2356.55524837913
		2107.130083767109

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,133]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,133]
	units	Angstroms
	features	47
	        207.39 18118.2622    18118.5   4.0 1 1 0.50
	        265.62 17994.0989     17994.   4.0 1 1 1.42
	        318.75 17880.6039    17880.3   4.0 1 1 1.20
	        416.19 17671.9457    17671.8   4.0 1 1 0.70
	        424.91 17653.2488    17653.2   4.0 1 1 2.00
	        519.59 17449.9857    17449.9   4.0 1 1 0.72
	        575.07 17330.7383    17330.9   4.0 1 1 0.32
	        613.34 17248.4465    17248.6   4.0 1 1 0.70
	        631.18 17210.0767    17210.4   4.0 1 1 0.36
	        671.40 17123.5425    17123.6   4.0 1 1 1.20
	        692.54 17078.0593    17078.3   4.0 1 1 0.70
	        724.85 17008.5376    17008.8   4.0 1 1 1.80
	        749.71 16955.0298    16955.1   4.0 1 1 0.52
	        773.57 16903.6745    16903.7   4.0 1 1 1.45
	        802.90 16840.5264    16840.5   4.0 1 1 0.30
	        863.95 16709.0474    16708.8   4.0 1 1 0.83
	        871.58 16692.6103    16692.1   4.0 1 1 2.30
	        936.79 16552.0607    16553.9   4.0 1 1 0.30
	        959.59 16502.9031    16502.3   4.0 1 1 0.75
	        987.48 16442.7186    16442.1   4.0 1 1 
	       1012.34 16389.0684    16388.5   4.0 1 1 0.25
	       1029.49 16352.0272    16351.3   4.0 1 1 0.65
	       1045.47 16317.5302    16317.2   4.0 1 1 0.28
	       1083.20 16235.9918    16235.4   4.0 1 1 1.27
	       1102.05 16195.2233    16194.7   4.0 1 1 0.63
	       1132.54 16129.2558    16128.6   4.0 1 1 1.71
	       1155.03 16080.5841    16079.8   4.0 1 1 0.65
	       1177.56 16031.7762    16030.8   4.0 1 1 1.53
	       1204.67 15973.0307    15972.6   4.0 1 1 0.50
	       1265.26 15841.5563    15848.1   4.0 1 1 0.90
	       1269.85 15831.5727    15833.2   4.0 1 1 2.30
	       1361.95 15631.2552    15631.6   4.0 1 1 1.05
	       1404.75 15537.9598    15540.4   4.0 1 1 0.35
	       1451.02 15436.9581    15432.1   4.0 1 1 0.70
	       1468.70 15398.3579    15395.3   4.0 1 1 0.55
	       1502.02 15325.5585    15332.4   4.0 1 1 1.08
	       1519.01 15288.4366    15287.8   4.0 1 1 0.40
	       1539.09 15244.5548     15241.   4.0 1 1 1.15
	       1564.37 15189.2939     15187.   4.0 1 1 0.58
	       1725.48 14837.4946     14833.   4.0 1 1 1.41
	       1792.44 14691.7028    14698.4   4.0 1 1 0.38
	       1831.71   14606.38    14604.8   4.0 1 1 0.66
	       1853.57 14558.9692     14564.   4.0 1 1 1.95
	       1871.17 14520.8115     14519.   4.0 1 1 0.78
	       1945.94 14359.2532    14356.7   4.0 1 1 0.62
	       2028.70  14181.419    14186.1   4.0 1 1 0.35
	       2035.27 14167.3614    14162.9   4.0 1 1 0.35
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3329.144444911678
		3094.204936420864
		2849.711240250111
		2604.814625118286
		2354.182595811462
		2118.576563290614

# Tue 18:28:13 03-Feb-2009
begin	identify sample_id_H[*,134]
	id	sample_id_H
	task	identify
	image	sample_id_H[*,134]
	units	Angstroms
	features	45
	        209.12 18117.2856    18118.5   4.0 1 1 0.50
	        265.67 17995.4944     17994.   4.0 1 1 1.42
	        318.92 17880.9217    17880.3   4.0 1 1 1.20
	        416.35 17671.5761    17671.8   4.0 1 1 0.70
	        424.98 17653.0339    17653.2   4.0 1 1 2.00
	        519.73 17449.6112    17449.9   4.0 1 1 0.72
	        575.36 17330.1866    17330.9   4.0 1 1 0.32
	        613.53 17248.2506    17248.6   4.0 1 1 0.70
	        631.34 17209.9978    17210.4   4.0 1 1 0.36
	        671.56 17123.6081    17123.6   4.0 1 1 1.20
	        692.61  17078.392    17078.3   4.0 1 1 0.70
	        725.06 17008.6531    17008.8   4.0 1 1 1.80
	        749.91 16955.2257    16955.1   4.0 1 1 0.52
	        773.69 16904.0614    16903.7   4.0 1 1 1.45
	        803.11 16840.7777    16840.5   4.0 1 1 0.30
	        864.26 16709.1071    16708.8   4.0 1 1 0.83
	        871.85 16692.7648    16692.1   4.0 1 1 2.30
	        936.92 16552.5191    16553.9   4.0 1 1 0.30
	        959.72 16503.3324    16502.3   4.0 1 1 0.75
	        987.63 16443.0969    16442.1   4.0 1 1 
	       1012.42 16389.5833    16388.5   4.0 1 1 0.25
	       1029.50 16352.6924    16351.3   4.0 1 1 0.65
	       1045.68 16317.7378    16317.2   4.0 1 1 0.28
	       1083.44 16236.1227    16235.4   4.0 1 1 1.27
	       1103.02 16193.7868    16194.7   4.0 1 1 0.63
	       1133.07 16128.7465    16128.6   4.0 1 1 1.71
	       1157.08 16076.7768    16079.8   4.0 1 1 0.65
	       1180.21 16026.6721    16030.8   4.0 1 1 1.53
	       1205.99 15970.8043    15972.6   4.0 1 1 0.50
	       1261.00 15851.4711    15848.1   4.0 1 1 0.90
	       1352.32 15653.0742     15655.   4.0 1 1 2.30
	       1377.38 15598.5336    15597.7   4.0 1 1 1.05
	       1403.30 15542.1018    15540.4   4.0 1 1 0.35
	       1456.01 15427.2635    15432.1   4.0 1 1 0.70
	       1467.93 15401.2787    15395.3   4.0 1 1 0.55
	       1516.92 15294.4117    15287.8   4.0 1 1 1.08
	       1543.35 15236.7285     15241.   4.0 1 1 0.40
	       1567.98 15182.9598     15187.   4.0 1 1 1.15
	       1618.23 15073.2129    15068.9   4.0 1 1 0.58
	       1704.99 14883.6621    14887.7   4.0 1 1 1.41
	       1727.87 14833.6586     14833.   4.0 1 1 0.38
	       1789.92 14698.0956    14698.4   4.0 1 1 0.66
	       1871.61   14519.71     14519.   4.0 1 1 1.95
	       2024.14 14187.1406    14186.1   4.0 1 1 0.78
	       2035.70 14161.9785    14162.9   4.0 1 1 0.62
	function spline3
	order 3
	sample *
	naverage 1
	niterate 0
	low_reject 3.
	high_reject 3.
	grow 0.
	coefficients	10
		3.
		3.
		1.
		2048.
		3343.679923039192
		3093.383576272598
		2850.060740208551
		2604.696596836978
		2355.181044370335
		2109.796750640434

