Metadata-Version: 1.1
Name: VESPA
Version: 0.2.5
Summary: Calculate astrophysical false positive probabilities for transiting exoplanet signals
Home-page: https://github.com/timothydmorton/VESPA
Author: Timothy D. Morton
Author-email: tim.morton@gmail.com
License: UNKNOWN
Description: VESPA
        ======
        .. image:: https://zenodo.org/badge/6253/timothydmorton/VESPA.svg   
            :target: http://dx.doi.org/10.5281/zenodo.16467
        
        
        Validation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals
        
        For usage and more info, `check out the documentation <http://vespa.rtfd.org>`_.
        
        Installation
        ------------
        
        To install, you can get the most recently released version from PyPI::
        
            pip install vespa [--user]
        
        Or you can clone the repository::
        
            git clone https://github.com/timothydmorton/vespa.git
            cd vespa
            python setup.py install [--user]
        
        The ``--user`` argument may be necessary if you don't have root privileges.
        
        Depends on typical scientific packages (e.g. `numpy`, `scipy`, `pandas`),
        as 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.
        
        Attribution
        -----------
        
        If you use this code, please cite the following paper::
        
            @ARTICLE{2012ApJ...761....6M,
            author = {{Morton}, T.~D.},
            title = "{An Efficient Automated Validation Procedure for Exoplanet Transit Candidates}",
            journal = {\apj},
            archivePrefix = "arXiv",
            eprint = {1206.1568},
            primaryClass = "astro-ph.EP",
            keywords = {planetary systems, stars: statistics },
            year = 2012,
            month = dec,
            volume = 761,
            eid = {6},
            pages = {6},
            doi = {10.1088/0004-637X/761/1/6},
            adsurl = {http://adsabs.harvard.edu/abs/2012ApJ...761....6M},
            adsnote = {Provided by the SAO/NASA Astrophysics Data System}
            }
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Astronomy
