Journal Article

GSI-2024-01292

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Application of neural networks for the reconstruction of supernova neutrino energy spectra following fast neutrino flavor conversions

Abbar, S. (Corresponding author) ; Wu, M.-R. ; Xiong, Z.GSI*

2024
American Physical Society Ridge, NY

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Please use a persistent id in citations: doi:10.1103/PhysRevD.109.083019  doi:10.15120/GSI-2024-01292

Note: Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license.

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Contributing Institute(s):

1. Nukleare Astrophysik & Struktur (KNA)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)
2. KILONOVA - Probing r-process nucleosynthesis through its electromagnetic signatures (885281) (885281)
3. DFG project G:(GEPRIS)390783311 - EXC 2094: ORIGINS: Vom Ursprung des Universums bis zu den ersten Bausteinen des Lebens (390783311) (390783311)
4. DFG project G:(GEPRIS)283604770 - SFB 1258: Neutrinos und Dunkle Materie in der Astro- und Teilchenphysik (NDM) (283604770) (283604770)

Experiment(s):

1. no experiment theory work (theory)

Appears in the scientific report 2024

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOAP3 sponsored Journal ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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