International Journal of Computational Intelligence Systems

Volume 11, Issue 1, 2018, Pages 608 - 615

Machine Learning for Stellar Magnetic Field Determination

Authors
J.P. Córdova Barbosa1, jcordoba@astro.unam.mx, S.G. Navarro Jiménez2, silvana@astro.iam.udg.mx, J.C. Ramírez Vélez3, jramirez@astro.unam.mx
1CUCEA, Universidad de Guadalajara, Periférico Norte 799, Núcleo Universitario Los Belenes, Zapopan, Jalisco 45100, México
2Instituto de Astronomía y Metereología, Universidad de Guadalajara, Av. Vallarta 2602, Arcos Vallarta Sur, Guadalajara, Jalisco 44130, México
3Instituto de Astronomía Ensenada, Universidad Nacional Autónoma de México, Carretera Tijuana-Ensenada km 103, Pedregal Playitas, Ensenada, Baja California 22860, México
Received 3 May 2017, Accepted 5 January 2018, Available Online 22 January 2018.
DOI
10.2991/ijcis.11.1.46How to use a DOI?
Keywords
Artificial Neural Networks; Machine Learning; Stellar: Magnetic Fields; Parameter Determination
Abstract

Abstract

In this work we present the results for the automatic determination of the mean longitudinal magnetic field in polarized stellar spectra through the analysis of spectropolarimetric observations. In order to determine this important parameter, we first developed a synthetic database encompassing a set of different stellar spectra, each one defined by a set of free parameters. Then, we used supervised learning for artificial neural networks, a machine learning approach, to achieve our goal.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
608 - 615
Publication Date
2018/01/22
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.46How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - J.P. Córdova Barbosa
AU  - S.G. Navarro Jiménez
AU  - J.C. Ramírez Vélez
PY  - 2018
DA  - 2018/01/22
TI  - Machine Learning for Stellar Magnetic Field Determination
JO  - International Journal of Computational Intelligence Systems
SP  - 608
EP  - 615
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.46
DO  - 10.2991/ijcis.11.1.46
ID  - Barbosa2018
ER  -