Atmospheric neutrinos with the first detection units of KM3NeT/ARCA
The KM3NeT Collaboration is constructing two deep-sea Cherenkov detectors in the Mediterranean Sea. The ARCA detector aims at TeV-PeV neutrino astronomy, while the ORCA detector is optimised for atmospheric neutrino oscillation studies at energies of a few GeV. In this contribution, an analysis of t...
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Online Access: | https://dx.doi.org/10.48550/arxiv.2107.12721 https://arxiv.org/abs/2107.12721 |
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ftdatacite:10.48550/arxiv.2107.12721 2023-05-15T17:53:36+02:00 Atmospheric neutrinos with the first detection units of KM3NeT/ARCA Sinopoulou, A. Coniglione, R. Muller, R. Tzamariudaki, E. 2021 https://dx.doi.org/10.48550/arxiv.2107.12721 https://arxiv.org/abs/2107.12721 unknown arXiv https://dx.doi.org/10.1088/1748-0221/16/11/c11015 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ High Energy Physics - Experiment hep-ex High Energy Astrophysical Phenomena astro-ph.HE FOS Physical sciences article-journal Article ScholarlyArticle Text 2021 ftdatacite https://doi.org/10.48550/arxiv.2107.12721 https://doi.org/10.1088/1748-0221/16/11/c11015 2022-03-10T14:15:45Z The KM3NeT Collaboration is constructing two deep-sea Cherenkov detectors in the Mediterranean Sea. The ARCA detector aims at TeV-PeV neutrino astronomy, while the ORCA detector is optimised for atmospheric neutrino oscillation studies at energies of a few GeV. In this contribution, an analysis of the data collected with the first deployed detection units of the ARCA detector is presented. A high-purity sample of atmospheric neutrinos is selected demonstrating the capability of the ARCA detector. : 5 pages, 5 figures, VLVnT 2021, JINST Article in Journal/Newspaper Orca DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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High Energy Physics - Experiment hep-ex High Energy Astrophysical Phenomena astro-ph.HE FOS Physical sciences |
spellingShingle |
High Energy Physics - Experiment hep-ex High Energy Astrophysical Phenomena astro-ph.HE FOS Physical sciences Sinopoulou, A. Coniglione, R. Muller, R. Tzamariudaki, E. Atmospheric neutrinos with the first detection units of KM3NeT/ARCA |
topic_facet |
High Energy Physics - Experiment hep-ex High Energy Astrophysical Phenomena astro-ph.HE FOS Physical sciences |
description |
The KM3NeT Collaboration is constructing two deep-sea Cherenkov detectors in the Mediterranean Sea. The ARCA detector aims at TeV-PeV neutrino astronomy, while the ORCA detector is optimised for atmospheric neutrino oscillation studies at energies of a few GeV. In this contribution, an analysis of the data collected with the first deployed detection units of the ARCA detector is presented. A high-purity sample of atmospheric neutrinos is selected demonstrating the capability of the ARCA detector. : 5 pages, 5 figures, VLVnT 2021, JINST |
format |
Article in Journal/Newspaper |
author |
Sinopoulou, A. Coniglione, R. Muller, R. Tzamariudaki, E. |
author_facet |
Sinopoulou, A. Coniglione, R. Muller, R. Tzamariudaki, E. |
author_sort |
Sinopoulou, A. |
title |
Atmospheric neutrinos with the first detection units of KM3NeT/ARCA |
title_short |
Atmospheric neutrinos with the first detection units of KM3NeT/ARCA |
title_full |
Atmospheric neutrinos with the first detection units of KM3NeT/ARCA |
title_fullStr |
Atmospheric neutrinos with the first detection units of KM3NeT/ARCA |
title_full_unstemmed |
Atmospheric neutrinos with the first detection units of KM3NeT/ARCA |
title_sort |
atmospheric neutrinos with the first detection units of km3net/arca |
publisher |
arXiv |
publishDate |
2021 |
url |
https://dx.doi.org/10.48550/arxiv.2107.12721 https://arxiv.org/abs/2107.12721 |
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Orca |
genre_facet |
Orca |
op_relation |
https://dx.doi.org/10.1088/1748-0221/16/11/c11015 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.2107.12721 https://doi.org/10.1088/1748-0221/16/11/c11015 |
_version_ |
1766161309230956544 |