Reconstruction of Photospheric Velocity Fields from Highly Corrupted Data

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

Rempel, EL (Autor) Outra; Chertovskih, R (Autor) FEUP; Davletshina, KR (Autor) Outra; Silva, SSA (Autor) Outra; Welsch, BT (Autor) Outra; Chian, ACL (Autor) Outra

Revista

Título: Astrophysical Journal

Vol. 933

Página Final: 2

ISSN: 0004-637X

Editora: American Astronomical Society

Indexação

ISI Web of Knowledge - 1 Citação

Scopus

Outras Informações

ID Authenticus: P-00W-SMK

DOI: 10.3847/1538-4357/ac6fe4

Abstract (EN): The analysis of the photospheric velocity field is essential for understanding plasma turbulence in the solar surface, which may be responsible for driving processes such as magnetic reconnection, flares, wave propagation, particle acceleration, and coronal heating. Currently, the only available methods to estimate velocities at the solar photosphere transverse to an observer's line of sight infer flows from differences in image structure in successive observations. Due to data noise, algorithms such as local correlation tracking may lead to a vector field with wide gaps where no velocity vectors are provided. In this paper, a novel method for image inpainting of highly corrupted data is proposed and applied to the restoration of horizontal velocity fields in the solar photosphere. The restored velocity field preserves all the vector field components present in the original field. The method shows robustness when applied to both simulated and observational data.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9