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Gpu Accelerated Library for Analysing Radio Interferometer Observations

Build Status Conda (channel only) Conda Downloads Python versions codecov

Anaconda-Server Badge Anaconda-Server Badge License: LGPL v3 DOI

galario is a library that exploits the computing power of modern graphic cards (GPUs) to accelerate the comparison of model predictions to radio interferometer observations. Namely, it speeds up the computation of the synthetic visibilities given a model image (or an axisymmetric brightness profile) and their comparison to the observations.

Check out the documentation and the installation instructions.

galario is used in a growing number of publications. You can find the updated list of publications [at this link].

If you use galario for your research please cite Tazzari, Beaujean and Testi (2018) MNRAS 476 4527 [MNRAS] [arXiv] [ADS]:

   author = {{Tazzari}, M. and {Beaujean}, F. and {Testi}, L.},
    title = "{GALARIO: a GPU accelerated library for analysing radio interferometer observations}",
  journal = {\mnras},
archivePrefix = "arXiv",
   eprint = {1709.06999},
 primaryClass = "astro-ph.IM",
 keywords = {methods: numerical, techniques: interferometric, submillimetre: general},
     year = 2018,
    month = jun,
   volume = 476,
    pages = {4527-4542},
      doi = {10.1093/mnras/sty409},
   adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}


galario is free software licensed under the LGPLv3 License. For more details see the LICENSE.

© Copyright 2017-2020 Marco Tazzari, Frederik Beaujean, Leonardo Testi.