Metadata-Version: 1.1
Name: mosfit
Version: 1.0.2
Summary: Modular software for fitting semi-analytical model predictions to observed astronomical transient data.
Home-page: https://github.com/guillochon/mosfit
Author:  & 
Author-email: guillochon@gmail.com
License: MIT
Download-URL: https://github.com/guillochon/mosfit/tarball/1.0.2
Description-Content-Type: UNKNOWN
Description: ``MOSFiT`` (**M**\ odular **O**\ pen-\ **S**\ ource **Fi**\ tter for
        **T**\ ransients) is a Python 2.7/3.x package for fitting, sharing, and
        estimating the parameters of transients via user-contributed transient
        models. Data for a transient can either be provided by the user in a
        wide range of formats (JSON, ASCII tables, CDS, LaTeX), or can be pulled
        automatically from one of the Open Catalogs (e.g. the `Open Supernova
        Catalog <https://sne.space>`__, `Open TDE
        Catalog <https://tde.space>`__, and `Open Nova
        Catalog <https://opennova.space>`__) by its name. With the use of an
        optional upload flag, fits performed by users can then be uploaded back
        to the Open Catalogs for the benefit of the transient community.
        
        Installation
        ------------
        
        ``MOSFiT`` is available on ``conda`` and ``pip``, and can be installed
        using:
        
        .. code:: bash
        
            conda install -c conda-forge mosfit
        
        or:
        
        .. code:: bash
        
            pip install mosfit
        
        For a development install of ``MOSFiT``, the repository should be cloned
        from GitHub and then installed into your Python environment via the
        ``setup.py`` script:
        
        .. code:: bash
        
            git clone https://github.com/guillochon/MOSFiT.git
            cd MOSFiT
            python setup.py develop
        
        Using MOSFiT
        ------------
        
        For detailed instructions on using MOSFiT, please see our documentation
        on RTD:
        
Keywords: astronomy,fitting,monte carlo,modeling
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
