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

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

Post by Ada Coda » Tue Jan 12, 2021 5:31 pm

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

Abstract: 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 parameters 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.

Credit: Falcon-Barroso, J. ; Martig, M.

Site: https://github.com/jfalconbarroso/BAYES-LOSVD


Preferred citation method: 2020arXiv201112023F

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