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Bayesian deconvolution of a rotating spectral line profile to a non-rotating one

Published online by Cambridge University Press:  01 August 2025

M. Curé Open the ORCID record for M. Curé [Opens in a new window] ,
P. Escarate ,
L. Celedon ,
J. Cavieres ,
E. Olivares ,
I. Araya Open the ORCID record for I. Araya [Opens in a new window] ,
C. Arcos Open the ORCID record for C. Arcos [Opens in a new window] ,
R. Pezoa ,
G. Farias  and
N. Machuca
M. Curé*
Affiliation:
Instituto de Física y Astronomía, Universidad de Valparaíso
P. Escarate
Affiliation:
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso
L. Celedon
Affiliation:
Instituto de Física y Astronomía, Universidad de Valparaíso
J. Cavieres
Affiliation:
Instituto de Estadística, Universidad de Valparaíso
E. Olivares
Affiliation:
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso
I. Araya
Affiliation:
Vicerrectoría de Investigación, Universidad Mayor
C. Arcos
Affiliation:
Instituto de Física y Astronomía, Universidad de Valparaíso
R. Pezoa
Affiliation:
Escuela de Ingeniería Informática, Universidad de Valparaíso
G. Farias
Affiliation:
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso
N. Machuca
Affiliation:
Instituto de Física y Astronomía, Universidad de Valparaíso
*
email: michel.cure@uv.cl
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Abstract

In this work we present a Bayesian approach to obtain the non-rotating stellar spectra from an observed spectrum of a rotating star. This is our first attempt to solve an inverse problem expressed in terms of a Fredholm integral. Our preliminary results with synthetic spectra are promising. More studies are required to compare our Bayesian approach with the standard method for real spectra.

Keywords

stars: rotationmethods: numericalmethods: statisticaltechniques: spectroscopic

Information

Type
Poster Paper
Information
Proceedings of the International Astronomical Union , Volume 19 , Symposium S368: Machine Learning in Astronomy: Possibilities and Pitfalls , August 2023 , pp. 107 - 109
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Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of International Astronomical Union

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References

Carroll, J. A. 1933, MNRAS, 93, 478.CrossRefGoogle Scholar
Stan Modeling Language Users Guide and Reference Manual, 2.30 (2022). https://mc-stan.orghttps://mc-stan.org Google Scholar