@preamble{ " \newcommand{\noop}[1]{} " } % a do-nothing command that serves a purpose

@ARTICLE{astropy,
author = {{Astropy Collaboration} and {Robitaille}, T.~P. and {Tollerud}, E.~J. and
    {Greenfield}, P. and {Droettboom}, M. and {Bray}, E. and {Aldcroft}, T. and
    {Davis}, M. and {Ginsburg}, A. and {Price-Whelan}, A.~M. and
    {Kerzendorf}, W.~E. and {Conley}, A. and {Crighton}, N. and
    {Barbary}, K. and {Muna}, D. and {Ferguson}, H. and {Grollier}, F. and
    {Parikh}, M.~M. and {Nair}, P.~H. and {Unther}, H.~M. and {Deil}, C. and
    {Woillez}, J. and {Conseil}, S. and {Kramer}, R. and {Turner}, J.~E.~H. and
    {Singer}, L. and {Fox}, R. and {Weaver}, B.~A. and {Zabalza}, V. and
    {Edwards}, Z.~I. and {<NAME>}, K. and {Burke}, D.~J. and
    {Casey}, A.~R. and {Crawford}, S.~M. and {Dencheva}, N. and
    {Ely}, J. and {Jenness}, T. and {Labrie}, K. and {Lim}, P.~L. and
    {Pierfederici}, F. and {Pontzen}, A. and {Ptak}, A. and {Refsdal}, B. and
    {Servillat}, M. and {Streicher}, O.},
title = "{Astropy: A community Python package for astronomy}",
journal = {\aap},
archivePrefix = "arXiv",
eprint = {1307.6212},
primaryClass = "astro-ph.IM",
keywords = {methods: data analysis, methods: miscellaneous, virtual observatory tools},
year = 2013,
month = oct,
volume = 558,
eid = {A33},
pages = {A33},
doi = {10.1051/0004-6361/201322068},
adsurl = {http://adsabs.harvard.edu/abs/2013A%26A...558A..33A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System} }

@ARTICLE{emcee, 
  author = {{Foreman-Mackey}, D. and {<NAME>. and {<NAME>. and {<NAME>. },
  title = "{emcee: The MCMC Hammer}",
  journal = {\pasp},
  archivePrefix = "arXiv",
  eprint = {1202.3665},
  primaryClass = "astro-ph.IM",
  year = 2013,
  month = mar,
  volume = 125,
  pages = {306},
  doi = {10.1086/670067},
  adsurl = {http://adsabs.harvard.edu/abs/2013PASP..125..306F},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}}

@article{gala,
  doi = {10.21105/joss.00388},
  url = {https://doi.org/10.21105%2Fjoss.00388},
  year = 2017,
  month = {oct},
  publisher = {The Open Journal},
  volume = {2},
  number = {18},
  author = {<NAME>},
  title = {Gala: A Python package for galactic dynamics},
  journal = {The Journal of Open Source Software}
}

@Article{ipython,
 Author    = {<NAME>, <NAME>.},
 Title     = {{IP}ython: a System for Interactive Scientific Computing},
 Journal   = {Computing in Science and Engineering},
 Volume    = {9},
 Number    = {3},
 Pages     = {21--29},
 month     = may,
 year      = 2007,
 url       = "https://ipython.org",
 ISSN      = "1521-9615",
 doi       = {10.1109/MCSE.2007.53},
 publisher = {IEEE Computer Society} }
 
 @INPROCEEDINGS{iraf,
    author = {{<NAME>.},
     title = "{The IRAF Data Reduction and Analysis System}",
 booktitle = {Instrumentation in astronomy VI},
      year = 1986,
    series = {\procspie},
    volume = 627,
    editor = {{<NAME>.},
     month = jan,
     pages = {733},
       doi = {10.1117/12.968154},
    adsurl = {http://adsabs.harvard.edu/abs/1986SPIE..627..733T},
   adsnote = {Provided by the SAO/NASA Astrophysics Data System}
 }
 
 @ARTICLE{matplotlib,
    author = {{Hunter}, J.~D.},
     title = "{Matplotlib: A 2D Graphics Environment}",
   journal = {Computing in Science and Engineering},
  keywords = {Python, Scripting languages, Application development, Scientific programming  },
      year = 2007,
     month = may,
    volume = 9,
     pages = {90-95},
       doi = {10.1109/MCSE.2007.55},
    adsurl = {http://adsabs.harvard.edu/abs/2007CSE.....9...90H},
   adsnote = {Provided by the SAO/NASA Astrophysics Data System}
 }

@ARTICLE{numpy, 
	author={<NAME> and <NAME> and <NAME>}, 
	journal={Computing in Science Engineering}, 
	title={The NumPy Array: A Structure for Efficient Numerical Computation}, 
	year={2011}, 
	volume={13}, 
	number={2}, 
	pages={22-30}, 
	keywords={data structures;high level languages;mathematics computing;numerical analysis;Python programming language;high level language;numerical 	computation;numerical data;numpy array;Arrays;Computational efficiency;Finite element methods;Numerical analysis;Performance evaluation;Resource management;Vector 	quantization;NumPy;Python;numerical computations;programming libraries;scientific programming}, 
	doi={10.1109/MCSE.2011.37}, 
	ISSN={1521-9615}, 
	month={March}
}

@InProceedings{pandas,
 author    = { <NAME> },
 title     = { Data Structures for Statistical Computing in Python },
 booktitle = { Proceedings of the 9th Python in Science Conference },
 pages     = { 51 - 56 },
 year      = { 2010 },
 editor    = { <NAME> and <NAME> }
}
 
 @article{schwimmbad,
   doi = {10.21105/joss.00357},
   url = {https://doi.org/10.21105/joss.00357},
   year  = {2017},
   month = {sep},
   publisher = {The Open Journal},
   volume = {2},
   number = {17},
   author = {<NAME> and <NAME>},
   title = {schwimmbad: A uniform interface to parallel processing pools in Python},
   journal = {The Journal of Open Source Software}
 }

@Misc{scipy,
  author =    {<NAME> and <NAME> and <NAME> and others},
  title =     {{SciPy}: Open source scientific tools for {Python}},
  year =      {2001--},
  url = "http://www.scipy.org/",
  note = {[Online; accessed <today>]}
}