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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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 -