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Create beautiful quicklook movies from the pixel data observed by NASA's Kepler spacecraft.

Project description

K2flix: Kepler pixel data visualizer

***Create beautiful quicklook movies from the pixel data observed by
NASA's Kepler spacecraft.***

|PyPI| |PyPI| |Travis status| |MIT license| |DOI| |ADS Bibcode|

K2flix makes it easy to inspect the CCD pixel data obtained by `NASA's
Kepler space telescope <>`__. The need for this
tool arises from the fact that the two-wheeled extended Kepler mission,
K2, is affected by new sources of noise -- including pointing jitter and
foreground asteroids -- which are more easy to spot by eye than by
algorithm. The code takes Kepler's *Target Pixel Files (TPF)* as input
and turns them into contrast-stretched animated gifs or MPEG-4 movies.
These *TPF files* are publically available from the `Kepler
archive <>`__
and the `K2
archive <>`__.
K2flix can be used both as a command-line tool or using its Python API.


Asteroids commonly pass in front of Kepler/K2 targets. How many can you
spot in this example 2-day animation?


$ k2flix --start 545 --stop 680 --step 1 --fps 12\

To see many more examples, follow
[@KeplerBot]( on Twitter!


If you have a working installation of Python on your system, you can
install k2flix using pip:


$ pip install k2flix

Alternatively, you can get the latest version by installing from source:


$ git clone
$ cd k2flix
$ python install

K2flix has only been tested under Linux at present. Get in touch if you
encounter issues on OS X or Windows.

Using k2flix

Converting a Kepler pixel file to an animated gif:


$ k2flix tpf-file.fits.gz

Converting a Kepler pixel file to an MPEG-4 movie:


$ k2flix -o movie.mp4 tpf-file.fits.gz

K2flix supports reading from web URLs, so you can generate a movie
directly from the data archive:


$ k2flix

To see all the options, use the ``--help`` argument to see the full
usage information:


$ k2flix --help
usage: k2flix [-h] [-o filename] [--start IDX] [--stop IDX] [--step STEP]
[--fps FPS] [--dpi DPI] [--min_percent MIN_PERCENT]
[--max_percent MAX_PERCENT] [--cmap colormap_name] [--raw]
[--flags] [--jd | --mjd | --bjd | --bkjd | --cadence]
filename [filename ...]

Converts a Target Pixel File (TPF) from NASA's Kepler/K2 spacecraft into a
movie or animated gif.

positional arguments:
filename path to one or more Kepler Target Pixel Files (TPF)

optional arguments:
-h, --help show this help message and exit
-o filename, --output filename
output filename (default: gif with the same name as
the input file)
--start IDX first frame to show (default: 0)
--stop IDX last frame to show (default: -1)
--step STEP spacing between frames (default: output 100 frames)
--fps FPS frames per second (default: 15)
--dpi DPI resolution of the output in dots per K2 pixel
--min_percent MIN_PERCENT
percentile value used to determine the minimum cut
level (default: 1.0)
--max_percent MAX_PERCENT
percentile value used to determine the maximum cut
level (default: 95.0)
--cmap colormap_name matplotlib color map name (default: gray)
--raw show the uncalibrated pixel data ('RAW_CNTS')
--flags show quality flags
--jd show the Julian Day
--mjd show the Modified Julian Day
--bjd show the Barycentric Julian Day
--bkjd show the Bareycentric Kepler Julian Day
--cadence show the cadence number


If you use this tool in an academic publication, please include a
citation. The code has been registered in the Astrophysics Source Code
Library `[ascl:1503.001] <>`__ and the
preferred BibTeX entry is:


author = {{Barentsen}, G.},
title = "{K2flix: Kepler pixel data visualizer}",
howpublished = {Astrophysics Source Code Library},
year = 2015,
month = mar,
archivePrefix = "ascl",
eprint = {1503.001},
adsurl = {},
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
doi = {10.5281/zenodo.15576},
url = {}


To report bugs and request features, please use the `issue
tracker <>`__. Code
contributions are very welcome.


Copyright 2016 Geert Barentsen. K2flix is free software made available
under the MIT License. For details see the LICENSE file.

.. |PyPI| image::
.. |PyPI| image::
.. |Travis status| image::
.. |MIT license| image::
.. |DOI| image::
.. |ADS Bibcode| image::

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