alexfitter/GUI.ipynb,sha256=hmmyvTeed9xshPkYmk2upP50cTGef2ncjrpH5qYRct0,93313
alexfitter/GUI_tess_transit_search.ipynb,sha256=P_Xjb_0RcMgZjc4gWCuKESHFLAoUrjvIeOVeozmTzXM,24696
alexfitter/__init__.py,sha256=Zo3UwNK2WdDlPAs8WhfHgWYOgscQLqUOuYTEC2rSqc4,14095
alexfitter/basement.py,sha256=vo-og3XdFTeFkjx4f-kZdHYM_czhlWRxg21uDFnmY0U,78828
alexfitter/computer.py,sha256=Us0rqcdGeVPv6iVQH8CXnmqlOh78DsUCh1wkCXAHMj0,102344
alexfitter/config.py,sha256=Atzl_8ANMdRkVAciRZ6IgUA_daNJrbYcAlS5C5k8rSk,583
alexfitter/deriver.py,sha256=O9FjCTvrOMA1smBk-MKktDOBJlrwEM5WHnv9ML0mImo,39505
alexfitter/general_output.py,sha256=TlXRgv0LESRNt06TBMsM86c_BbSe4NjB6KkMCizIhEg,54072
alexfitter/inout.py,sha256=VRXt9XG_kBK039_t5_3RLfKleezqdeYpb-CrMuv3iO8,2518
alexfitter/lightcurves.py,sha256=M1hHkYByxBZzSkOfxMQuZv4gZKU-j_spVbFJxnJK3LY,10664
alexfitter/mcmc.py,sha256=qJv4nbMeUkaULpIHE7982RZWrheS9r3jX7e6C0hdzSM,9227
alexfitter/mcmc_output.py,sha256=VLs6tWfU1pHNnR4zYcojpfAgBZR5DPqvLYu2s4aPiUI,20029
alexfitter/nested_sampling.py,sha256=phVZrX6aDQW3hf1AG-nxjEWeyFiCVavLfNlaNeMbayk,7041
alexfitter/nested_sampling_output.py,sha256=nVbq54qxDEzB3U8eLMa2N8I7crkkheo055dsHkQAOJU,14527
alexfitter/observables.py,sha256=wjLCixEzEJrgfvw9ocJ-N5e0MlyeZuUBvmtpXxN-7Vw,27271
alexfitter/plot_top_down_view.py,sha256=QpSm_55_m8cuhR2yneOCDchgAbfcDbI_gKOYkRprwls,17197
alexfitter/plotting.py,sha256=c3ydQr_UDu32n26GlUqczB8MrRfD3YOal48J57opDQU,25191
alexfitter/prepare_ttv_fit.py,sha256=6_UQ5agQV-uklXdtaP9wUu-pqNIPZ3h7VjPpW0j00ds,14342
alexfitter/spots.py,sha256=m_AVVVbb88ZwgJVQvVMeAYPIcRv2TEXdRm8KYFbMPKI,19039
alexfitter/statistics.py,sha256=_JqHeYZxuojzTx4-XvHXOktMSbAGyGwnc3ZZmdPVEDk,9521
alexfitter/time_series.py,sha256=gjWTbxlOeO9vFnKj-otzH_d4q5tuACw_8GxBMkkEYFA,8521
alexfitter/.ipynb_checkpoints/GUI-checkpoint.ipynb,sha256=hmmyvTeed9xshPkYmk2upP50cTGef2ncjrpH5qYRct0,93313
alexfitter/__pycache__/__init__.cpython-38.pyc,sha256=jJAUu3qCu9HCUUJeV0oiaj5W5AtxnEITtw74ZGjV0WY,10873
alexfitter/__pycache__/basement.cpython-38.pyc,sha256=k2RZzG0cXuObjnUMyHw3d5PoWEuhrGvu0SyFSy32yaI,30177
alexfitter/__pycache__/computer.cpython-38.pyc,sha256=fo3wmY5e0hAQvGO10gxjo-MBFAEwR0gR0MJ8qBsvX2w,30576
alexfitter/__pycache__/config.cpython-38.pyc,sha256=GA5YwnDtI-wBrS28LpnkHywI5S-VUEXH8WYqu5GKDI4,768
alexfitter/__pycache__/deriver.cpython-38.pyc,sha256=OyXhQOBQOI-s7FdvedxoGvKL3JkNDI08uRrlAxEm2XM,16929
alexfitter/__pycache__/general_output.cpython-38.pyc,sha256=Qx-DkQvkIl02xVGTpROi4ifTTmYRtD9-UL_xahpglpE,24731
alexfitter/__pycache__/inout.cpython-38.pyc,sha256=Y9fZw0PDl9J_rZZ6zA1vlPswqdKKjRNVJR52f1BW6QQ,2935
alexfitter/__pycache__/lightcurves.cpython-38.pyc,sha256=-NzoBl96peaPRH6KSLsK4Uc-2DVT1kytyDpTXy6IPeI,8251
alexfitter/__pycache__/mcmc.cpython-38.pyc,sha256=svy5Nm1rzYX0fiCldL3pnyafITVNoTiH3u1A3F14RfI,5288
alexfitter/__pycache__/mcmc_output.cpython-38.pyc,sha256=foCiPzzIyhHlBOVvGzJXshXe24gf2tvwgYuOci-vrxs,11295
alexfitter/__pycache__/nested_sampling.cpython-38.pyc,sha256=3A8aXMbErGkKDFaDWkIaLeWiPRhlmq5WktSTZlXLN1A,4298
alexfitter/__pycache__/nested_sampling_output.cpython-38.pyc,sha256=moOM2T8GVqXgbejooYcS1EvivpmrMxpP5EsoLAUVvi0,9071
alexfitter/__pycache__/observables.cpython-38.pyc,sha256=PGUpyLCzk-ozFPOie734cpqcwFrvbQkB0cOalg_Gqyw,14490
alexfitter/__pycache__/plot_top_down_view.cpython-38.pyc,sha256=8oJVzaVGfFNXO0P0P7BY-0ednqc_MwOq5Q6q1rDhk48,12859
alexfitter/__pycache__/plotting.cpython-38.pyc,sha256=SzaTwnEkOyMrFrqjpjt7vpRcRtYjBnwFnFvQu363fDo,19039
alexfitter/__pycache__/prepare_ttv_fit.cpython-38.pyc,sha256=0Q08KZSK9_SqnszRtA6Hf6VeumRUCm39083ASvtzJ2I,7641
alexfitter/__pycache__/statistics.cpython-38.pyc,sha256=kDO89J_RvEMWlS_cxnbRn2Ir-ejwA8Z23reyX724RMQ,8022
alexfitter/__pycache__/time_series.cpython-38.pyc,sha256=RYA7uw6Vx1szB-QB6_KrcZHy_Fz34gdzdkDwiZJxtbU,7077
alexfitter/_static/_logos/logo_circ.png,sha256=Tplx2zRwCdP70_7rxZDNy72M-fAGTjFQds0KlkzGn2E,33726
alexfitter/_static/_logos/logo_circ_tess_transit_search.png,sha256=CtgqQofomsgCy2RZKsqQJ8wixIieu593ybMvp4FBWrs,27434
alexfitter/_static/_stars/Peacut_Mamajek.csv,sha256=32SB4SM2Vu4h1JNB32K09GEWvRotViZksJxynZjTABA,15372
alexfitter/_static/_tess/old.csv,sha256=DePIXO_2MLh9G1fhxhKgX6jf5vVaRrVVgvwbASBm-o8,5225
alexfitter/_static/_tess/old2.csv,sha256=_EEL1zgQwJ_C8jrP3GhE1VIgYxs2lcuYgPqjzq1fC1U,4490
alexfitter/_static/_tess/tess_orbit_times.csv,sha256=CHVbQSVbOQZ01zQ_-1n1wvxqq1Qswr-prYRXi4GWvC8,4824
alexfitter/detection/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
alexfitter/detection/example.py,sha256=HhaW-zSpdQkotyr6yjuk0NtX4uQ5Bbo81xNntqfE8h8,2238
alexfitter/detection/injection_recovery.py,sha256=ezL2IPVf195ff7ylYiQG7nnqv5AkFsMGP87myzPdUBo,23342
alexfitter/detection/injection_recovery_output.py,sha256=wkiKEcAnisDDM9yGqGveaExOeWzErD5m3HNaQWyvgZ8,12155
alexfitter/detection/periodicity.py,sha256=ubosrOE_C11HMAHcIDAHVP-gjjh97hjDm6x45j2s4EA,16368
alexfitter/detection/transit_search.py,sha256=-yyCv5SpE2GkMrr2INO8sXowiDKIPDgmvty4aBbOHBg,54477
alexfitter/exoworlds_rdx/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
alexfitter/exoworlds_rdx/__pycache__/__init__.cpython-38.pyc,sha256=jCNlYN8HTlgFbRRQMs4Gvch1-O01Iyto9YLk6rZO3DQ,170
alexfitter/exoworlds_rdx/lightcurves/__init__.py,sha256=7_b3x5tCSjJcJRbKkp2dyuBDL8VeW7JzQ84zt_FB_Os,852
alexfitter/exoworlds_rdx/lightcurves/binning.py,sha256=fVUdtTzin08Ms5wUceFIIxz2xYr1HzReW5i86T3_ApU,10763
alexfitter/exoworlds_rdx/lightcurves/conversions.py,sha256=ozYSYzkVa_Br14IwbtfsXbPeQK-fd2_dAcc1D9W-SWk,1536
alexfitter/exoworlds_rdx/lightcurves/expand_flags.py,sha256=mNyPxbWrxzY_8s2JmOps-i_T8-_D0dxAs5eD7jKGC6M,903
alexfitter/exoworlds_rdx/lightcurves/gp_decor.py,sha256=so3-xRygNjevy1eqc_-OqGaA59BBEvcfOn0592gTlNs,31234
alexfitter/exoworlds_rdx/lightcurves/index_transits.py,sha256=7f4ek1UbJSBSLJsINE92x8q_Lfu1dhxuXWQqq5FRR8w,6327
alexfitter/exoworlds_rdx/lightcurves/lightcurve_tools.py,sha256=MsiZ2KcGwm0l5ARYslmSDvEeXQ57LA06V8psJNvAah8,13676
alexfitter/exoworlds_rdx/lightcurves/utils.py,sha256=0H7Nb1D0k0xKa-pEnxL5Hja22HqRRaPJG7zrnVDWqPo,4111
alexfitter/exoworlds_rdx/lightcurves/__pycache__/__init__.cpython-38.pyc,sha256=mu46tUZWbDM3SyoYI2uTgeLim7ekNQJPJYlxQdZM13k,1072
alexfitter/exoworlds_rdx/lightcurves/__pycache__/binning.cpython-38.pyc,sha256=g9boePXftctlHfzjYbg4UZCNkDzIyxWDuEVeCEMdqlg,6130
alexfitter/exoworlds_rdx/lightcurves/__pycache__/expand_flags.cpython-38.pyc,sha256=cVEMtnz63SyL_X9hq8CPuJXikTv1vjjSsiMMDPPKBTM,952
alexfitter/exoworlds_rdx/lightcurves/__pycache__/gp_decor.cpython-38.pyc,sha256=dh4wIQtRa4S7GZCTEGFzyHGgRLlAWgLFsFqRuPs-Vr8,17469
alexfitter/exoworlds_rdx/lightcurves/__pycache__/index_transits.cpython-38.pyc,sha256=8xJ0RUN2aNBecc7KWh2aA8N6Vr_r2m0KitF3H-Wn8Sk,5426
alexfitter/exoworlds_rdx/lightcurves/__pycache__/lightcurve_tools.cpython-38.pyc,sha256=UrhrfvRkGb6lk-f8oANDKVIbRn9rk6e0JK7iT2En0ZU,9247
alexfitter/exoworlds_rdx/lightcurves/__pycache__/utils.cpython-38.pyc,sha256=2Y_ubUdvS6h9pySfkFoDCt_9qbBS9orVBAUPsTekM3E,4165
alexfitter/exoworlds_rdx/rvs/__init__.py,sha256=IBHTknK9I5cvGBA-ZNZbCNm43pcWkIxVLs31aAuTOFk,699
alexfitter/exoworlds_rdx/rvs/estimate_jitter.py,sha256=egJvwgkZQ5txL-onSOFpnZ8SH3SSM666q6yTUBTSdd8,10442
alexfitter/exoworlds_rdx/rvs/__pycache__/__init__.cpython-38.pyc,sha256=PmfsPICtMqKm2Af2o3JqZ6uk0b10vWq9og0gIDr4Aa8,877
alexfitter/exoworlds_rdx/rvs/__pycache__/estimate_jitter.cpython-38.pyc,sha256=2_7a1_OQO8i3tyu10JzPVnK_JFLxk1X0BWoJquPsUqo,8351
alexfitter/flares/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
alexfitter/flares/aflare.py,sha256=FWh6NxBf6a4H7nJJTxiIq_cJX2rh8dcqMpzTWSabKsc,5606
alexfitter/flares/__pycache__/__init__.cpython-38.pyc,sha256=LamcAGxCyY4lIG6HJKfG23PQcq5rUuXG3Lw6TRDxVUc,163
alexfitter/flares/__pycache__/aflare.cpython-38.pyc,sha256=jOjhwim0LHTG7-WpGz13Q7_fJqV5PiMbFB69kfFkA_A,4798
alexfitter/limb_darkening/LDC3.py,sha256=MyqF8HKZ8UVgMeANNj9EKdkJndRLJo41QilwQhuJQgk,6174
alexfitter/limb_darkening/__pycache__/LDC3.cpython-38.pyc,sha256=g5O9kVIogJpOiDZDf9pjgC0p1ZVt7kXZT6HgJ-J1o_U,2276
alexfitter/postprocessing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
alexfitter/postprocessing/nested_sampling_compare_logZ.py,sha256=RGY1y_9RvMwi0ySat1sLVrSG_ZNYyCy8oobt9JKJ_RI,8314
alexfitter/postprocessing/plot_histograms.py,sha256=YBUWieO_qYG2lu-YlfwAEDpYpMaeeGdHgKoTi8DDurI,6622
alexfitter/postprocessing/plot_viol.py,sha256=Jht1Na04vZbiVGKih-nnKL2xFgveUlMsMz8pBnEtf3A,7951
alexfitter/postprocessing/plot_violins.py,sha256=HI1FM93W7Y3JgQwWy7JVrrrXwKUThZi4QriDz-U_-Sw,3068
alexfitter/postprocessing/__pycache__/__init__.cpython-38.pyc,sha256=vxiUS58pjOcZgrwe0eAQ8Qdv-nBCLLoRE06TbtbpfvQ,171
alexfitter/postprocessing/__pycache__/nested_sampling_compare_logZ.cpython-38.pyc,sha256=cubygqCHRyXwrpdwbS9ebMO8zGQCaEwX4kn__tnEYCU,5900
alexfitter/postprocessing/__pycache__/plot_histograms.cpython-38.pyc,sha256=8X-yUj666DVetPNFHFMepQUfe1Z-0kYAWHslWebGV24,4486
alexfitter/postprocessing/__pycache__/plot_violins.cpython-38.pyc,sha256=CLQBz98FgvYseWyEa31eXbgboqjEJX3WRM_G6lTlVzM,2600
alexfitter/priors/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
alexfitter/priors/estimate_noise.py,sha256=joXDTOD5ctyCQAobYacX35WyfqN5hdvkYMAqCq7juE0,10032
alexfitter/priors/estimate_noise_wrap.py,sha256=GMQdBbknSuTe3pqdpmFLFLL7VzU4SBAzeWtkFJMvPHY,6256
alexfitter/priors/get_priors_from_previous_run.py,sha256=7l0_93olM5V83WRXuOcplSo1Kx-DvDNz1NoSphIt_GM,5417
alexfitter/priors/simulate_PDF.py,sha256=JfkBJNBgM8ll04oC2IXATabGSfEM-lfjMNq_U4E3cwY,9317
alexfitter/priors/transform_priors.py,sha256=2pr8UkCxzQn-xOnzxTsphsli0zDu_NQG-LVTPLjc_cQ,7827
alexfitter/priors/__pycache__/__init__.cpython-38.pyc,sha256=kQ3Zy6eyQgW7UCfmMblfndfxzAo3bHr-QXDNlR1KTM8,163
alexfitter/priors/__pycache__/estimate_noise.cpython-38.pyc,sha256=FjL0PJro6XrXHmzixXFzZKGw1Za1E50Vu53Isa4K8Xk,3891
alexfitter/priors/__pycache__/simulate_PDF.cpython-38.pyc,sha256=bIipi5Mumq1PvbUvKGSMkAiW-TXbnhRLBG71LiyQhFc,4120
alexfitter/priors/__pycache__/transform_priors.cpython-38.pyc,sha256=GiWWSM0JmrPNlHQa2mdM9dYiGJC5hoDN2nEj0Fs8Olg,4677
alexfitter/utils/Blues_r-PuOr-trunc-0.5-0-band-10.tmp,sha256=-edu2pDHJNVKmoZzAjg0fm1SFaCshMB2hzeYz92B2-A,5164
alexfitter/utils/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
alexfitter/utils/colormaputil.py,sha256=VXewND2QVtSGtHaold4dTSP7i_3_zi4slIrzVQ-7Zs8,5167
alexfitter/utils/latex_printer.py,sha256=GWU5wMyCM33ttMz5HFVJMKBY4dYV2i1C_eTljLX_dHI,1870
alexfitter/utils/mcmc_move_translator.py,sha256=NmPWoJTcddXq7-6LzxEceObt2TcgFMQG9JE-c0-EGAI,3076
alexfitter/utils/quotes.txt,sha256=-E8G6Wke28kyGkVVnkDf-Uvs91mGzRUHODbF4Q2aDlY,12084
alexfitter/utils/quotes2.txt,sha256=w_lK-E6ghOCKIiydm5vYbE7LleWRcVbzdDWkc5ikWoM,4370
alexfitter/utils/to_precision.py,sha256=rWXTX4M1ye1BumYDJUEjQuSxSLp62CejCy_Odcc1E14,9016
alexfitter/utils/__pycache__/__init__.cpython-38.pyc,sha256=-1HlgvgrA77JoF-lxzJ8rpkB9LYdZDwfrv88C2S91I4,162
alexfitter/utils/__pycache__/colormaputil.cpython-38.pyc,sha256=Q5mwRX45xX-98UoLasZnwJ34Tp_xjzCI2sIEvXzJYLQ,4167
alexfitter/utils/__pycache__/latex_printer.cpython-38.pyc,sha256=MqkY-nUnNkBlN6BiSYgOOd1L2HpIRgk5WFsDDiz-mr0,2185
alexfitter/utils/__pycache__/mcmc_move_translator.cpython-38.pyc,sha256=tV9CJcsHGqrum1Oo9WXx85xrtW6qLZHxaH1ii3u2T8s,3012
alexfitter/utils/__pycache__/to_precision.cpython-38.pyc,sha256=pc7FfuYtWPJnzRle1xvECuEpXQ3uQJyBnSkLCfMfwJg,8645
alexfitter/v0/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
alexfitter/v0/generative_models.py,sha256=DORoC9QXF_nHB0wdcnzIAQG6JnfOAIFbAzPZVGaj8bQ,19405
alexfitter/v2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
alexfitter/v2/classes.py,sha256=QbnIA2NonCsKxAnTwnQ48uIrPZdG1q3AjJZsqct3EBw,4603
alexfitter/v2/classes_example.py,sha256=Bp0-m0V2x55CkngfY2JqV8-R-2Qa-jfJgushRg0LLhY,1339
alexfitter/v2/defaults.py,sha256=3zNgw9MBa_-eDwhFfpoI2Mg9l1MrFpBHGOwKdNSFHwI,11499
alexfitter/v2/generator.py,sha256=e23fSYzHLeguNnsUJ5L0cdi_ggx2Yw060uMB7mhHaYk,12252
alexfitter/v2/plotter.py,sha256=jphxzd_rl_Fe3FBZ0f2z90tPv0Bhb721lWYek0h-jKM,6578
alexfitter/v2/simulate.py,sha256=wc1lhOopQy0ILYqJBvZ_caEldSaPZjtYELg2PB5EUAU,1992
alexfitter/v2/translator.py,sha256=kD6vxK4aee6zGZ5KMl2Hg7eUWKDpSEHid41SM2_yFjs,16053
alexfitter/v2/detection/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
alexfitter/v2/detection/injection_recovery.py,sha256=uQWCjrraT66iY-pTib2TVpigbfyn4F5MRhre5vjsKTI,12066
alexfitter/v2/detection/injection_recovery_output.py,sha256=81OTjc8p8L9XMPlAsMty53cPGThaPEnFs6rT8S0SeZY,8791
alexfitter/v2/detection/transit_search.py,sha256=kK-f9FyZYTcKPGcnarlabqcXeQ8he-LeLNwMeiEPG6s,9850
alexfitter-1.2.11.dist-info/LICENSE.txt,sha256=PFQGeZowZAXEfBPrvJsK3dVh3NKWd7-JKnZkrepmRAs,1114
alexfitter-1.2.11.dist-info/METADATA,sha256=O5fZQPyLSj7WA4klJCBvdpCtSLbZ_wLMaprds6aqvt4,552
alexfitter-1.2.11.dist-info/WHEEL,sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo,92
alexfitter-1.2.11.dist-info/top_level.txt,sha256=JQs_ywH78Eo8ZVQZaKdLLRk0DV2IWIznj0RUqCVboWw,11
alexfitter-1.2.11.dist-info/RECORD,,
