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Particle acceleration with magnetic reconnection in large-scale RMHD simulations - I. Current sheet identification and characterization

Articolo
Data di Pubblicazione:
2023
Abstract:
We present a new algorithm for the identification and physical characterization of current sheets and reconnection sites in 2D and 3D large-scale relativistic magnetohydrodynamic numerical simulations. This has been implemented in the PLUTO code and tested in the cases of a single current sheet, a 2D jet, and a 3D unstable plasma column. Its main features are (i) a computational cost that allows its use in large-scale simulations and (ii) the capability to deal with complex 2D and 3D structures of the reconnection sites. In the performed simulations, we identify the computational cells that are part of a current sheet by a measure of the gradient of the magnetic field along different directions. Lagrangian particles, which follow the fluid, are used to sample plasma parameters before entering the reconnection sites that form during the evolution of the different configurations considered. Specifically, we track the distributions of the magnetization parameter σ and the thermal to magnetic pressure ratio β that - according to particle-in-cell simulation results - control the properties of particle acceleration in magnetic reconnection regions. Despite the fact that initial conditions of the simulations were not chosen 'ad hoc', the 3D simulation returns results suitable for efficient particle acceleration and realistic non-thermal particle distributions.
Tipologia CRIS:
03A-Articolo su Rivista
Elenco autori:
Nurisso M.; Celotti A.; Mignone A.; Bodo G.
Autori di Ateneo:
MIGNONE Andrea
Link alla scheda completa:
https://iris.unito.it/handle/2318/1945788
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1945788/1214391/2023.Nurisso_etal.pdf
Pubblicato in:
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Journal
  • Dati Generali
  • Aree Di Ricerca

Dati Generali

URL

https://arxiv.org/pdf/2305.16782.pdf

Aree Di Ricerca

Settori (12)


PE2_8 - Gas and plasma physics - (2022)

PE6_12 - Scientific computing, simulation and modelling tools - (2022)

PE9_10 - Relativistic astrophysics and compact objects - (2022)

CIBO, AGRICOLTURA e ALLEVAMENTI - Farmacologia Veterinaria

CULTURA, ARTE e CREATIVITA' - Culture moderne

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Digitalizzazione della Società e della Pubblica Amministrazione

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Industria X.0

PIANETA TERRA, AMBIENTE, CLIMA, ENERGIA e SOSTENIBILITA' - Diritto dell'Ambiente

PIANETA TERRA, AMBIENTE, CLIMA, ENERGIA e SOSTENIBILITA' - Informatica e Ambiente

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Cosmologia e Universo

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Fisica delle Particelle e dei Nuclei

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Laboratori innovativi, strumentazione e modellizzazione fisica
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