Solving the pulsar equation using physics-informed neural networks
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Título: | Solving the pulsar equation using physics-informed neural networks |
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Autor/es: | Stefanou, Petros | Urbán, Jorge F. | Pons, José A. |
Grupo/s de investigación o GITE: | Astrofísica Relativista |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física Aplicada |
Palabras clave: | Magnetic fields | Stars: neutron | Pulsars |
Fecha de publicación: | 18-sep-2023 |
Editor: | Oxford University Press |
Cita bibliográfica: | Monthly Notices of the Royal Astronomical Society. 2023, 526(1): 1504-1511. https://doi.org/10.1093/mnras/stad2840 |
Resumen: | In this study, Physics-Informed Neural Networks (PINNs) are skilfully applied to explore a diverse range of pulsar magnetospheric models, specifically focusing on axisymmetric cases. The study successfully reproduced various axisymmetric models found in the literature, including those with non-dipolar configurations, while effectively characterizing current sheet features. Energy losses in all studied models were found to exhibit reasonable similarity, differing by no more than a factor of three from the classical dipole case. This research lays the groundwork for a reliable elliptic Partial Differential Equation solver tailored for astrophysical problems. Based on these findings, we foresee that the utilization of PINNs will become the most efficient approach in modelling three-dimensional magnetospheres. This methodology shows significant potential and facilitates an effortless generalization, contributing to the advancement of our understanding of pulsar magnetospheres. |
Patrocinador/es: | We acknowledge the support through the grant PID2021-127495NB-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union, the Astrophysics and High Energy Physics programme of the Generalitat Valenciana ASFAE/2022/026 funded by MCIN and the European Union NextGenerationEU (PRTR-C17.I1) and the Prometeo excellence programme grant CIPROM/2022/13. JFU is supported by the predoctoral fellowship UAFPU21-103 funded by the University of Alicante. |
URI: | http://hdl.handle.net/10045/137643 |
ISSN: | 0035-8711 (Print) | 1365-2966 (Online) |
DOI: | 10.1093/mnras/stad2840 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1093/mnras/stad2840 |
Aparece en las colecciones: | INV - Astrofísica Relativista - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Stefanou_etal_2023_MNRAS.pdf | 1 MB | Adobe PDF | Abrir Vista previa | |
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