/BAYES-LOSVD

Non-parametric recovery of the LOSVD of galaxies

Primary LanguageJupyter Notebook

BAYES-LOSVD

BAYES-LOSVD is a python framework for the non-parametric extraction of the Line-Of-Sight Velocity Distributions in galaxies. It makes use of Stan (https://mc-stan.org/) to perform all the computations and provide reliable uncertainties for all the parametes of the model chosen for the fit. The code comes with a large number of features, including read-in routines for some of the most popular IFU spectrographs and surveys: ATLAS3D, CALIFA, MaNGA, MUSE-WFM, SAMI, SAURON.

Authors

  • Jesús Falcón-Barroso (Instituto de Astrofísica de Canarias, Spain)
  • Marie Martig (John Moores University, UK)

Installation and documentation

Clone this repository in your computer and open the following file in your browser:

BAYES-LOSVD/docs/build/html/index.html

Acknowledgments

If you have found this software useful please consider including the following citation in your work:

BAYES-LOSVD: a bayesian framework for non-parametric extraction of the LOSVD

J. Falcón-Barroso & M. Martig

Astronomy & Astrophysics, 2021, 646, A31

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