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Constraining the polarisation flux density and angle of point sources by training a convolutional neural network

Author:
Casas González, José ManuelUniovi authority; Bonavera, LauraUniovi authority; González-Nuevo González, JoaquínUniovi authority; Muñiz Cueli, MarcosUniovi authority; Crespo Iglesias, DavidUniovi authority; Goitia, E.; González Gutiérrez, CarlosUniovi authority; Santos Rodríguez, Jesús DanielUniovi authority; Sánchez Rodríguez, María LuisaUniovi authority; Cos Juez, Francisco Javier deUniovi authority
Publication date:
2023
Publisher version:
http://dx.doi.org/10.1051/0004-6361/202244424
Citación:
Astronomy and Astrophysics, 670, (2023); doi:10.1051/0004-6361/202244424
URI:
http://hdl.handle.net/10651/67863
ISSN:
0004-6361
DOI:
10.1051/0004-6361/202244424
Patrocinado por:

J.M.C., L.B., J.G.N., M.M.C. and D.C. acknowledge financial support from the PID2021-125630NB-I00 project funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. J.M.C. also acknowledges financial support from the SV-PA-21-AYUD/2021/51301 project. M.M.C. also acknowledges to be granted by PAPI-21-PF-04 (Universidad de Oviedo). C.G.C., J.D.S., M.L.S. and F.J.D.C. acknowledge financial support from both PID2021- 127331NB-I00 and UE-18-SOLARNET-824135 projects

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© The Authors 2023
This item is protected with a Creative Commons License