Metadata-Version: 1.1
Name: mosfit
Version: 0.6.4
Summary: Modular software for fitting semi-analytical model predictions to observed astronomical transient data.
Home-page: https://github.com/guillochon/mosfit
Author: James Guillochon & Matt Nicholl
Author-email: guillochon@gmail.com
License: MIT
Download-URL: https://github.com/guillochon/mosfit/tarball/0.6.4
Description: ``MOSFiT`` (**M**\ odular **O**\ pen-\ **S**\ ource **Fi**\ tter for

        **T**\ ransients) is a Python 2.7/3.x package that performs maximum

        likelihood analysis to fit semi-analytical model predictions to observed

        transient data. Data can be provided by the user, or can be pulled

        automatically from the `Open Supernova Catalog <https://sne.space>`__ by

        its name, and thus the code can be used to fit *any* supernova within

        that database, or any database that shares the format described in the

        `OSC

        schema <https://github.com/astrocatalogs/supernovae/blob/master/SCHEMA.md>`__

        (such as the `Open TDE Catalog <https://tde.space>`__ or the `Open Nova

        Catalog <https://opennova.space>`__). With the use of an optional upload

        flag, fits performed by users can then be uploaded back to the

        aforementioned catalogs.

        

        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 :: 3 - Alpha
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
