Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Amerio, Aurelio, Cuoco, Alessandro, Fornengo, Nicolao
Format:	Preprint
Published:	2023
Subjects:	Cosmology and Nongalactic Astrophysics High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2302.01947