Metadata-Version: 1.1
Name: Piff
Version: 0.2.5
Summary: PSFs in the Full FOV
Home-page: https://github.com/rmjarvis/Piff
Author: Mike Jarvis
Author-email: michael@jarvis.net
License: BSD License
Download-URL: https://github.com/rmjarvis/Piff/releases/tag/v0.2.5.zip
Description: PIFF: PSFs In the Full FOV
        ==========================
        
        Piff is a Python software package for modeling the point-spread function (PSF)
        across multiple detectors in the full field of view (FOV).
        
        Features: (Some are aspirational.  We're still working on the code!)
        
        - Has multiple basis sets for the underlying PSF model, including pixel-based,
          shapelets, Gaussian mixture, maybe also Moffat and/or Kolmogorov.
        - Can build the models in either chip or sky coordinates, properly accounting
          for the WCS of the image.
        - Can interpolate across the full field-of-view, or across each chip separately,
          or a combination of both.
        - Can do the fitting in either real or Fourier space.
        - Has multiple interpolation functions including polynomials, gaussian processes,
          and others.
        - Can take knowledge of the optical aberrations as input to convolve the model
          of the atmospheric PSF.
        - Performs outlier rejection to detect and remove stars that are not good
          exemplars of the PSF.  Outputs the list of stars that were actually used
          to build the final model.
        - Allows the centroid to be fixed or floating.
        - In general, allow any value to be fixed rather than fit for.
        - Uses highly readable YAML configuration files to set the various options.
        - Includes Python code to read in the PSF files and use it to draw an image
          of the PSF at an arbitrary location.
        - Currently, the lead developers are:
          - Mike Jarvis (mikejarvis17 at gmail)
          - Josh Meyers (jmeyers314 at gmail)
          - Pierre-Francois Leget (leget at stanford)
          - Chris Davis (chris.pa.davis at gmail)
          If you'd like to join the development effort, or if you have any other
          questions or comments about the code, feel free to contact us at the above
          email addresses.
        
        
        Installation
        ------------
        
        The current stable version, v0.2.5, is installable with pip::
        
            pip install Piff
        
        If you need the bleeding edge version on master, you can download or clone
        the repo and install with::
        
            python setup.py install
        
        Depending on your setup, you might prefer/need one of these variants::
        
            sudo python setup.py install
            python setup.py install --user
            python setup.py install --prefix=PREFIX
        
        
        Running Tests
        -------------
        
        After installing Piff, you can run the unit tests by doing::
        
            cd tests
            nosetests
        
        
        Reporting bugs
        --------------
        
        If you have any trouble installing or using the code, or if you find a bug,
        please report it at:
        
        https://github.com/rmjarvis/Piff/issues
        
        Click "New Issue", which will open up a form for you to fill in with the
        details of the problem you are having.
        
        
        Requesting features
        -------------------
        
        If you would like to request a new feature, do the same thing.  Open a new
        issue and fill in the details of the feature you would like added to Piff.
        Or if there is already an issue for your desired feature, please add to the
        discussion, describing your use case.  The more people who say they want a
        feature, the more likely we are to get around to it sooner than later.
        
        
Platform: UNKNOWN
