Chasing the Neutrino Blazar Candidates

Chasing the Neutrino Blazar Candidates

In our study of the correlations between IceCube-detected neutrino events and γ -ray properties of blazars, we recognize the inherent challenges posed by the limited detection of neutrinos. In this paper, we explore few-shot learning to deal with the class imbalance and few-shot issues presented in...

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Veröffentlicht in:The Astrophysical journal. Supplement series 2024-11, Vol.275 (1), p.11
Hauptverfasser: Zhu, Jingtian, Cao, Haitao, Xiao, Hubing, Pei, Zhiyuan, Fan, JunHui, Bastieri, Denis
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Sprache:eng
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Blazars
Emission
Emissions
Gamma ray sources
Learning
Neutrinos
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container_start_page 11
container_title The Astrophysical journal. Supplement series
container_volume 275
creator Zhu, Jingtian
Cao, Haitao
Xiao, Hubing
Pei, Zhiyuan
Fan, JunHui
Bastieri, Denis
description In our study of the correlations between IceCube-detected neutrino events and γ -ray properties of blazars, we recognize the inherent challenges posed by the limited detection of neutrinos. In this paper, we explore few-shot learning to deal with the class imbalance and few-shot issues presented in the incremental version of the 12 yr Fermi-LAT γ -ray source catalog (4FGL_ DR3). Specifically, we train a triplet network to transform the blazars with neutrino emission (NBs) and nonblazar samples into an embedding space where their similarities can be measured. With two-way three-shot learning, 199 out of 3708 blazars without neutrino emission (non-NBs) are considered as the potential blazars emitting neutrinos (NB candidates, or NBCs for short), with a similarity score against NBs exceeding 98%. Moreover, the Kolmogorov–Smirnov test supports our identification of NBCs.
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subjects Blazars
Emission
Emissions
Gamma ray sources
Learning
Neutrinos
title Chasing the Neutrino Blazar Candidates
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