Metadata-Version: 1.1
Name: k2mosaic
Version: 3.0.1
Summary: Mosaic Target Pixel Files (TPFs) obtained by NASA's Kepler/K2 missions into CCD-sized images and movies.
Home-page: https://k2mosaic.geert.io
Author: Geert Barentsen
Author-email: hello@geert.io
License: MIT
Description: K2mosaic: Mosaic Kepler Pixel Data
        ==================================
        
        **Mosaic Target Pixel Files (TPFs)
        obtained by NASA's Kepler/K2 missions
        into CCD-sized images and movies.**
        
        .. image:: http://img.shields.io/pypi/v/k2mosaic.svg
            :target: https://pypi.python.org/pypi/k2mosaic/
            :alt: PyPI
        
        .. image:: http://img.shields.io/travis/KeplerGO/k2mosaic/master.svg
            :target: http://travis-ci.org/KeplerGO/k2mosaic
            :alt: Travis status
        
        .. image:: http://img.shields.io/badge/license-MIT-blue.svg
            :target: https://github.com/KeplerGO/k2mosaic/blob/master/LICENSE
            :alt: MIT license
        
        .. image:: https://zenodo.org/badge/52581319.svg
           :target: https://zenodo.org/badge/latestdoi/52581319
           :alt: Zenodo DOI
        
        K2mosaic is a command-line tool which allows the
        postage stamp-sized pixel masks obtained by
        `NASA's Kepler and K2 missions <http://keplerscience.nasa.gov>`_
        to be stitched together into CCD-sized mosaics and movies.
        The principal use is to take a set of *Target Pixel Files* (TPF)
        and turn them into more traditional FITS image files --
        one per CCD channel and per cadence.
        K2mosaic can also be used
        to create fancy animations from these mosaics.
        
        The need for this tool arises from the fact
        that the analysis of certain Kepler/K2 targets,
        such as clusters and asteroids,
        is more easily performed on mosaicked data.
        Moreover such mosaics are useful to reveal the context
        of single-star observations,
        e.g. they enable users to check for the presence of instrumental noise
        or nearby bright objects.
        
        Documentation
        -------------
        
        Read the docs and see usage examples at `k2mosaic.geert.io <http://k2mosaic.geert.io>`_.
        
        
        Attribution
        -----------
        
        Created by Geert Barentsen at the NASA Kepler/K2 Guest Observer Office.
        
        If this tool aided your research, please cite it.
        Please get in touch before submitting your paper
        so I can request an entry in the Astrophysics Source Code Library (ASCL).
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
