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Regularized Maximum Likelihood Imaging for Radio Astronomy

Project description

MPoL

Documentation Status DOI

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 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.

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

Project details


Release history Release notifications

This version

0.0.4

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Files for MPoL, version 0.0.4
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Filename, size MPoL-0.0.4-py3-none-any.whl (19.1 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size MPoL-0.0.4.tar.gz (18.3 kB) File type Source Python version None Upload date Hashes View hashes

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