Accurately constraining velocity information from spectral imaging observations using machine learning techniques.

MacBride, Conor D; Jess, David B; Grant, Samuel D T; Khomenko, Elena; Keys, Peter H; Stangalini, Marco

MacBride, Conor D; Jess, David B; Grant, Samuel D T; Khomenko, Elena; Keys, Peter H; Stangalini, Marco.

Afiliação

MacBride CD; Astrophysics Research Centre, School of Mathematics and Physics, Queen's University Belfast, Belfast BT7 1NN, UK.
Jess DB; Astrophysics Research Centre, School of Mathematics and Physics, Queen's University Belfast, Belfast BT7 1NN, UK.
Grant SDT; Department of Physics and Astronomy, California State University Northridge, Northridge, CA 91330, USA.
Khomenko E; Astrophysics Research Centre, School of Mathematics and Physics, Queen's University Belfast, Belfast BT7 1NN, UK.
Keys PH; Instituto de Astrofísica de Canarias, 38205 La Laguna, Tenerife, Spain.
Stangalini M; Departamento de Astrofísica, Universidad de La Laguna, 38205 La Laguna, Tenerife, Spain.

Philos Trans A Math Phys Eng Sci ; 379(2190): 20200171, 2021 Feb 08.

Article em En | MEDLINE | ID: mdl-33342374

Palavras-chave

Sun: atmosphere; Sun: chromosphere; Sun: photosphere; methods: statistical; sunspots; techniques: spectroscopic

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

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