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        "author": "Timothy D. Morton",
        "author_email": "tim.morton@gmail.com",
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            "Development Status :: 4 - Beta",
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            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "VESPA\n======\n.. image:: https://travis-ci.com/timothydmorton/VESPA.svg?branch=master\n    :target: https://travis-ci.com/timothydmorton/VESPA\n\nValidation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals\n\nFor usage and more info, `check out the documentation <http://vespa.rtfd.org>`_.\n\nInstallation\n------------\n\nTo install, you can get the most recently released version from PyPI::\n\n    pip install vespa [--user]\n\nOr you can clone the repository::\n\n    git clone https://github.com/timothydmorton/vespa.git\n    cd vespa\n    python setup.py install [--user]\n\nThe ``--user`` argument may be necessary if you don't have root privileges.\n\nDepends on typical scientific packages (e.g. `numpy`, `scipy`, `pandas`),\nas well as `isochrones <http://github.com/timothydmorton/isochrones>`_, and (in several corners of the code), another package of mine called `simpledist <http://github.com/timothydmorton/simpledist>`_.  All dependencies *should* get resolved upon install, though this has only been tested under the anaconda Python distribution, which has all the scientific stuff already well-organized.\n\nFor best results, it is also recommended to have ``MultiNest`` and ``pymultinest`` installed.  Without this, ``emcee`` will be used for stellar modeling, but the ``MulitNest`` results are a bit more trustworthy given the often multi-modal nature of stellar model fitting.\n\nBasic Usage\n-----------\n\nThe simplest way to run an FPP calculation straight out of the box is\nas follows.\n\n1. Make a text file containing the transit photometry in three columns: ``t_from_midtransit`` [days], ``flux`` [relative, where out-of-transit is normalized to unity], and ``flux_err``.  The file should not have a header row (no titles); and can be either whitespace or comma-delimited (will be ingested by ``np.loadtxt``).\n\n2. Make a ``star.ini`` file that contains the observed properties of the target star (photometric and/or spectroscopic, whatever is available)::\n\n\t    #provide spectroscopic properties if available\n            #Teff = 3503, 80  #value, uncertainty\n            #feh = 0.09, 0.09\n            #logg = 4.89, 0.1\n\n\t    #observed magnitudes of target star\n\t    # If uncertainty provided, will be used to fit StarModel\n            J = 9.763, 0.03\n            H = 9.135, 0.03\n            K = 8.899, 0.02\n            Kepler = 12.473\n\n3. Make a ``fpp.ini`` file containing the following information::\n\n            name = k2oi #anything\n            ra = 11:30:14.510 #can be decimal form too\n            dec = +07:35:18.21\n\n            period = 32.988 #days\n            rprs = 0.0534   #Rp/Rstar best estimate\n            photfile = lc_k2oi.csv #contains transit photometry\n\n\t    [constraints]\n\t    maxrad = 12  # aperture radius [arcsec]\n\t    secthresh = 1e-4 # Maximum allowed depth of potential secondary eclipse\n\n4. Run the following from the command line (from within the same folder that has ``star.ini`` and ``fpp.ini``)::\n\n\t$  calcfpp\n\nOr, if you put the files in a folder called ``mycandidate``, then you can run ``calcfpp mycandidate``::\n\nThis will run the calculation for you, creating result files, diagnostic plots, etc.\nIt should take 20-30 minutes.  If you want to do a shorter\nversion to test, you can try ``calcfpp -n 1000`` (the default is 20000).  The first\ntime you run it though, about half the time is doing the stellar modeling, so it will still\ntake a few minutes.\n\n\nAttribution\n-----------\n\nIf you use this code, please cite both the paper and the code.\n\nPaper citation::\n\n    @ARTICLE{2012ApJ...761....6M,\n    author = {{Morton}, T.~D.},\n    title = \"{An Efficient Automated Validation Procedure for Exoplanet Transit Candidates}\",\n    journal = {\\apj},\n    archivePrefix = \"arXiv\",\n    eprint = {1206.1568},\n    primaryClass = \"astro-ph.EP\",\n    keywords = {planetary systems, stars: statistics },\n    year = 2012,\n    month = dec,\n    volume = 761,\n    eid = {6},\n    pages = {6},\n    doi = {10.1088/0004-637X/761/1/6},\n    adsurl = {http://adsabs.harvard.edu/abs/2012ApJ...761....6M},\n    adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n    }\n\ncode::\n\n\t@MISC{2015ascl.soft03011M,\n\t   author = {{Morton}, T.~D.},\n\t    title = \"{VESPA: False positive probabilities calculator}\",\n\thowpublished = {Astrophysics Source Code Library},\n\t     year = 2015,\n\t    month = mar,\n\tarchivePrefix = \"ascl\",\n\t   eprint = {1503.011},\n\t   adsurl = {http://adsabs.harvard.edu/abs/2015ascl.soft03011M},\n\t  adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n\t}\n",
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