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"author": "Ian Czekala",
"author_email": "iczekala@berkeley.edu",
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"description": "# Starfish\n\n[](https://travis-ci.org/iancze/Starfish)\n[](https://starfish.readthedocs.io/en/latest/?badge=latest)\n[](https://coveralls.io/github/iancze/Starfish?branch=master)\n[](https://pypi.org/project/astrostarfish/)\n[](https://doi.org/10.5281/zenodo.2221006)\n\n*Starfish* is a set of tools used for spectroscopic inference. We designed the package to robustly determine stellar parameters using high resolution spectral models.\n\n## Beta Version 0.3\n\n### Documentation\n\n[](https://starfish.readthedocs.io/en/latest/?badge=latest)\n[](https://starfish.readthedocs.io/en/develop/?badge=develop)\n\n### Citations\n\nIf you use this code or derivative components of this code in your research, please cite our [paper](https://ui.adsabs.harvard.edu/abs/2015ApJ...812..128C/abstract) as well as the [code](https://doi.org/10.5281/zenodo.2221006). \n\n\nBibTex citation
\n\n```\n@ARTICLE{2015ApJ...812..128C,\n author = {{Czekala}, Ian and {Andrews}, Sean M. and {Mandel}, Kaisey S. and\n {Hogg}, David W. and {Green}, Gregory M.},\n title = \"{Constructing a Flexible Likelihood Function for Spectroscopic Inference}\",\n journal = {\\apj},\n keywords = {methods: data analysis, methods: statistical, stars: fundamental parameters, stars: late-type, stars: statistics, techniques: spectroscopic, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},\n year = \"2015\",\n month = \"Oct\",\n volume = {812},\n number = {2},\n eid = {128},\n pages = {128},\n doi = {10.1088/0004-637X/812/2/128},\narchivePrefix = {arXiv},\n eprint = {1412.5177},\n primaryClass = {astro-ph.SR},\n adsurl = {https://ui.adsabs.harvard.edu/abs/2015ApJ...812..128C},\n adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n}\n\n@misc{ian_czekala_2018_2221006,\n author = {Ian Czekala and\n gully and\n Kevin Gullikson and\n Sean Andrews and\n Jason Neal and\n Miles Lucas and\n Kevin Hardegree-Ullman and\n Meredith Rawls and\n Edward Betts},\n title = {{iancze/Starfish: ca. Czekala et al. 2015 release \n w/ Zenodo}},\n month = dec,\n year = 2018,\n doi = {10.5281/zenodo.2221006},\n url = {https://doi.org/10.5281/zenodo.2221006}\n}\n```\n\n \n\n**Warning!**\n\nThere have been major updates since version `0.2`, please see the section of the documentation that regards these changes if you are used to the old version!\n\n### Papers\n* [Czekala et al. 2015](https://ui.adsabs.harvard.edu/#abs/2015ApJ...812..128C/abstract)\n* [Gully-Santiago et al. 2017](https://ui.adsabs.harvard.edu/#abs/2017ApJ...836..200G/abstract)\n\nCopyright Ian Czekala and collaborators 2013 - 2019 (see [`CONTRIBUTORS.md`](CONTRIBUTORS.md))\n\nPlease bear in mind that this package is under heavy development and features may evolve rapidly. If something doesn't work, please fill an [issue](https://github.com/iancze/Starfish/issues) on this repository. If you would like to contribute to this project (either with bugfixes, documentation, or new features) please feel free to fork the repository and submit a pull request!\n\n# Installation Instructions\n\n## Prerequisites\n\n*Starfish* has several dependencies, however most of them should be satisfied by an up-to-date scientific python installation. We highly recommend using the [Anaconda Scientific Python Distribution](https://store.continuum.io/cshop/anaconda/) and updating to \nPython 3.6 or greater. This code makes no attempt to work on the Python 2.x series, and I doubt it will if you try. This package is tested across Linux, Mac OS X, and Windows. \n\nTo make sure you are running the correct version of python, start a python interpreter via the system shell and you should see something similar\n\n $ python\n Python 3.6.1 |Anaconda custom (64-bit)| (default, May 11 2017, 13:25:24) [MSC v.1900 64 bit (AMD64)] on win32\n Type \"help\", \"copyright\", \"credits\" or \"license\" for more information.\n >>> \n\nIf your shell says Python 2.x, try using the `python3` command instead of `python`.\n\n## Installation\n\nFor the most current release of *Starfish*, use the releases from PyPI\n\n $ pip install astrostarfish\n\nIf you want to be on the most up-to-date version (or a development version), install from source via\n\n $ pip install git+https://github.com/iancze/Starfish.git#egg=astrostarfish\n\n\nTo test that you've properly installed *Starfish*, try doing the following inside of a Python interpreter session\n\n```python\n>>> import Starfish\n>>> Starfish.__version__\n'0.3.0'\n```\n\nIf you see any errors, then something went wrong--please file an [issue](https://github.com/iancze/Starfish/issues).\n\nNow that you've successfully installed the code, please see the [documentation](https://starfish.readthedocs.io/en/latest/) on how to begin using *Starfish* to solve your spectroscopic inference problem.\n\n# Contributing\nIf you are interested in contributing to *Starfish*, first off, thank you! We appreciate your time and effort into\nmaking our project better. To get set up in a development environment, it is highly recommended to develop in a\nvirtual environment. We use `pipenv` to manage our environments, to get started clone the repository (and we recommend forking us first)\n\n $ git clone https://github.com//Starfish.git starfish\n $ cd starfish\n\nand then create the virtual environment and install pacakges from the `Pipfile` with\n\n $ pipenv install -d\n\nand to enter the virtual environment, simply issue\n\n $ pipenv shell\n\nwhenever you're in the `starfish` folder.\n\nTake a look through the [issues](https://github.com/iancze/Starfish/issues) if you are looking for a place to start improving *Starfish*!\n\n**Tests**\n\nWe use `py.test` for testing; within the virtual environment\n\n $ pytest\n\n\n## Contributors\n\nSee [`CONTRIBUTORS.md`](CONTRIBUTORS.md) for a full list of contributors.\n\n\n",
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