KM3NeT sensitivity to low energy astrophysical neutrinos

KM3NeT, a new generation of neutrino telescope, is currently being deployed in the Mediterranean Sea. While its two sites, ORCA and ARCA, were respectively designed for the determination of neutrino mass hierarchy and high-energy neutrino astronomy, this contribution presents a study of the detectio...

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Main Author: de Wasseige, Gwenhaël
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2021
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2108.07062
https://arxiv.org/abs/2108.07062
id ftdatacite:10.48550/arxiv.2108.07062
record_format openpolar
spelling ftdatacite:10.48550/arxiv.2108.07062 2023-05-15T17:53:51+02:00 KM3NeT sensitivity to low energy astrophysical neutrinos de Wasseige, Gwenhaël 2021 https://dx.doi.org/10.48550/arxiv.2108.07062 https://arxiv.org/abs/2108.07062 unknown arXiv https://dx.doi.org/10.1088/1748-0221/16/12/c12003 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ High Energy Astrophysical Phenomena astro-ph.HE FOS Physical sciences article-journal Article ScholarlyArticle Text 2021 ftdatacite https://doi.org/10.48550/arxiv.2108.07062 https://doi.org/10.1088/1748-0221/16/12/c12003 2022-03-10T13:46:42Z KM3NeT, a new generation of neutrino telescope, is currently being deployed in the Mediterranean Sea. While its two sites, ORCA and ARCA, were respectively designed for the determination of neutrino mass hierarchy and high-energy neutrino astronomy, this contribution presents a study of the detection potential of KM3NeT in the MeV-GeV energy range. At these low energies, the data rate is dominated by low-energy atmospheric muons and environmental noise due to bioluminescence and K-40 decay. The goal of this study is to characterize the environmental noise in order to optimize the selection of low-energy neutrino interactions and increase the sensitivity of KM3NeT to transient astrophysical phenomena, such as close-by core-collapse Supernovae, solar flares, and extragalactic transients. In this contribution, we will study how using data science tools might improve the sensitivity of KM3NeT in these low-energy neutrino searches. We will first introduce the data sets and the different variables used to characterize KM3NeT's response to the environmental noise. We will then compare the efficiency of various tools in identifying different components in the environmental noise and in disentangling low-energy neutrino interactions from the background events. We will conclude with the implication of low-energy neutrinos for future astrophysical transient searches. : 5 pages, 1 figure, VLVnT2021 conference proceedings Article in Journal/Newspaper Orca DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic High Energy Astrophysical Phenomena astro-ph.HE
FOS Physical sciences
spellingShingle High Energy Astrophysical Phenomena astro-ph.HE
FOS Physical sciences
de Wasseige, Gwenhaël
KM3NeT sensitivity to low energy astrophysical neutrinos
topic_facet High Energy Astrophysical Phenomena astro-ph.HE
FOS Physical sciences
description KM3NeT, a new generation of neutrino telescope, is currently being deployed in the Mediterranean Sea. While its two sites, ORCA and ARCA, were respectively designed for the determination of neutrino mass hierarchy and high-energy neutrino astronomy, this contribution presents a study of the detection potential of KM3NeT in the MeV-GeV energy range. At these low energies, the data rate is dominated by low-energy atmospheric muons and environmental noise due to bioluminescence and K-40 decay. The goal of this study is to characterize the environmental noise in order to optimize the selection of low-energy neutrino interactions and increase the sensitivity of KM3NeT to transient astrophysical phenomena, such as close-by core-collapse Supernovae, solar flares, and extragalactic transients. In this contribution, we will study how using data science tools might improve the sensitivity of KM3NeT in these low-energy neutrino searches. We will first introduce the data sets and the different variables used to characterize KM3NeT's response to the environmental noise. We will then compare the efficiency of various tools in identifying different components in the environmental noise and in disentangling low-energy neutrino interactions from the background events. We will conclude with the implication of low-energy neutrinos for future astrophysical transient searches. : 5 pages, 1 figure, VLVnT2021 conference proceedings
format Article in Journal/Newspaper
author de Wasseige, Gwenhaël
author_facet de Wasseige, Gwenhaël
author_sort de Wasseige, Gwenhaël
title KM3NeT sensitivity to low energy astrophysical neutrinos
title_short KM3NeT sensitivity to low energy astrophysical neutrinos
title_full KM3NeT sensitivity to low energy astrophysical neutrinos
title_fullStr KM3NeT sensitivity to low energy astrophysical neutrinos
title_full_unstemmed KM3NeT sensitivity to low energy astrophysical neutrinos
title_sort km3net sensitivity to low energy astrophysical neutrinos
publisher arXiv
publishDate 2021
url https://dx.doi.org/10.48550/arxiv.2108.07062
https://arxiv.org/abs/2108.07062
genre Orca
genre_facet Orca
op_relation https://dx.doi.org/10.1088/1748-0221/16/12/c12003
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.2108.07062
https://doi.org/10.1088/1748-0221/16/12/c12003
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