Recent Applications of Bayesian Methods to the Solar Corona

DOI
10.3389/fspas.2022.82694
Arregui, I.
Referencia bibliográfica

Frontiers in Astrononmy and Space Sciences, Vol. 9, 14 March 2022 |

Fecha de publicación:
3
2022
Número de autores
1
Número de autores del IAC
1
Número de citas referidas
0
Descripción
Solar coronal seismology is based on the remote diagnostics of physical conditions in the corona of the Sun by comparison between model predictions and observations of magnetohydrodynamic wave activity. Our lack of direct access to the physical systems of interest makes information incomplete and uncertain so our conclusions are at best probabilities. Bayesian inference is increasingly being employed in the area, following a general trend in the space sciences. In this paper, we first justify the use of a Bayesian probabilistic approach to seismology diagnostics of solar coronal plasmas. Then, we report on recent results that demonstrate its feasibility and advantage in applications to coronal loops, prominences and extended regions of the corona. }
Proyectos relacionados
Erupción solar
Simulación Numérica de Procesos Astrofísicos

La simulación numérica mediante códigos complejos de ordenador es una herramienta fundamental en la investigación física y en la técnica desde hace décadas. El crecimiento vertiginoso de las capacidades informáticas junto con el avance notable de la matemática numérica ha hecho accesible a los centros de investigación de tamaño medio

Daniel Elías
Nóbrega Siverio
En ejecución
Imagen del Proyecto
Magnestismo Solar y Estelar

Los campos magnéticos son uno de los ingredientes fundamentales en la formación de estrellas y su evolución. En el nacimiento de una estrella, los campos magnéticos llegan a frenar su rotación durante el colapso de la nube molecular, y en el fin de la vida de una estrella, el magnetismo puede ser clave en la forma en la que se pierden las capas

Tobías
Felipe García
En ejecución
Tipo
Con árbitro
Campos magnéticos
Física Solar (FS)

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