Metadata-Version: 2.1
Name: MPoL
Version: 0.0.4
Summary: Regularized Maximum Likelihood Imaging for Radio Astronomy
Home-page: https://github.com/iancze/MPoL
Author: Ian Czekala
Author-email: iancze@gmail.com
License: UNKNOWN
Description: # MPoL
        
        ![](https://github.com/iancze/MPoL/workflows/Python%20package/badge.svg)
        [![Documentation Status](https://readthedocs.org/projects/mpol/badge/?version=latest)](https://mpol.readthedocs.io/en/latest/?badge=latest)
        [![DOI](https://zenodo.org/badge/224543208.svg)](https://zenodo.org/badge/latestdoi/224543208)
        
        A Million Points of Light are needed to synthesize image cubes from interferometers.
        
        Documentation: https://mpol.readthedocs.io/
        
        
        # Installation
        
        This package requires `python > 3.5`. Install the requirements (`numpy`, `scipy`, `torch`, `torchvision`). You may want to consider [installing PyTorch individually](https://pytorch.org/) if you do/do not require CUDA support and want to fine tune your installation. If you would like to export your images to FITS files, you should also install the `astropy` package.
        
        ## Using pip
        
        After the dependencies are installed, 
        
            $ pip install MPoL
        
        ## From source
        
        If you'd like to install the package from source, download or `git clone` the MPoL repository and install
        
            git clone https://github.com/iancze/MPoL.git
            cd MPoL
            python setup.py install
        
        If you have trouble installing please raise a [github issue](https://github.com/iancze/MPoL/issues).
        
        # Citation 
        
        If you use this package or derivatives of it, please cite
        
            @software{ian_czekala_2019_3594082,
            author       = {Ian Czekala},
            title        = {iancze/MPoL: Base version},
            month        = dec,
            year         = 2019,
            publisher    = {Zenodo},
            version      = {v0.0.1},
            doi          = {10.5281/zenodo.3594082},
            url          = {https://doi.org/10.5281/zenodo.3594082}
            }
        
        
        ---
        Copyright Ian Czekala and contributors 2019-20
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
