{ "info": { "author": "Ben Montet", "author_email": "bmontet@uchicago.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7" ], "description": ".. image:: https://zenodo.org/badge/90557386.svg\n :target: https://zenodo.org/badge/latestdoi/90557386\n.. image:: http://img.shields.io/badge/arXiv-1705.07928-orange.svg?style=flat\n :target: http://arxiv.org/abs/1705.07928\n\nf3\n===\n\n**Full Frame Fotometry package for interacting with and measuring photometry\nfor targets observed in the Kepler Full Frame Images**\n\nYou can read the documentation at: `f3.readthedocs.io `_.\n\nInstallation\n------------\n\nStart by installing the dependencies:\n\n1. numpy\n2. matplotlib\n3. scipy\n4. pyfits (I know)\n5. kplr (https://github.com/dfm/kplr) (The version pip will get you is insufficent, grab the one on github)\n6. mahotas (http://mahotas.readthedocs.io/en/latest/#) (pip will install this for you along with f3)\n\nRunning \u201cpip install f3\u201d or cloning this repository and running setup.py should then\nenable you to run the code.\n\n\nGet the data\n------------\n\nTo download the Kepler full frame images, run::\n\n wget -r -nH -nd -np -R index.html -e robots=off https://archive.stsci.edu/pub/kepler/ffi/\n\nNote: this is 44gb worth of data!\n\nf3 will look for this in the \u201cffidata\u201d subdirectory inside your working directory, but\nthis can be changed in an argument when you initialize your object.\n\n\n\nUse the code\n----------------\n\nThere is a jupyter notebook in this directory which provides an example use case for this package.\n\n\nCite the code\n----------------\n\nPlease cite `Montet, Tovar, and Foreman-Mackey\u2019 (submitted) if you find this code\nuseful in your research. 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