Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search
The KM3NeT research infrastructure is unconstruction in the Mediterranean Sea. KM3NeT will study atmospheric and astrophysical neutrinos with two multi-purpose neutrino detectors, ARCA and ORCA, primarily aimed at GeV–PeV neutrinos. Thanks to the multi-photomultiplier tube design of the digital opti...
Published in: | The European Physical Journal C |
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Online Access: | https://dare.uva.nl/personal/pure/en/publications/implementation-and-first-results-of-the-km3net-realtime-corecollapse-supernova-neutrino-search(bb82f9c2-a400-46dc-964a-ad95d25620af).html https://doi.org/10.1140/epjc/s10052-022-10137-y https://hdl.handle.net/11245.1/bb82f9c2-a400-46dc-964a-ad95d25620af https://pure.uva.nl/ws/files/129381944/Implementation_and_first_results_of_the_KM3NeT.pdf |
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ftunivamstpubl:oai:dare.uva.nl:openaire_cris_publications/bb82f9c2-a400-46dc-964a-ad95d25620af 2024-09-30T14:40:58+00:00 Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search Aiello, S. Basegmez du Pree, S. Bouwhuis, M. Bruijn, R. Domi, A. van Eeden, T. van Eijk, D. Gatius Oliver, C. de Jong, M. de Jong, P. Jung, B.J. Kooijman, P.M. Melis, K.W. Muller, R. Ó Fearraigh, B.P. Pestel, V. Samtleben, D.F.E. Seneca, J. de Wolf, E. 2022-04 application/pdf https://dare.uva.nl/personal/pure/en/publications/implementation-and-first-results-of-the-km3net-realtime-corecollapse-supernova-neutrino-search(bb82f9c2-a400-46dc-964a-ad95d25620af).html https://doi.org/10.1140/epjc/s10052-022-10137-y https://hdl.handle.net/11245.1/bb82f9c2-a400-46dc-964a-ad95d25620af https://pure.uva.nl/ws/files/129381944/Implementation_and_first_results_of_the_KM3NeT.pdf eng eng https://dare.uva.nl/personal/pure/en/publications/implementation-and-first-results-of-the-km3net-realtime-corecollapse-supernova-neutrino-search(bb82f9c2-a400-46dc-964a-ad95d25620af).html info:eu-repo/semantics/openAccess Aiello , S , Basegmez du Pree , S , Bouwhuis , M , Bruijn , R , Domi , A , van Eeden , T , van Eijk , D , Gatius Oliver , C , de Jong , M , de Jong , P , Jung , B J , Kooijman , P M , Melis , K W , Muller , R , Ó Fearraigh , B P , Pestel , V , Samtleben , D F E & Seneca , J & de Wolf , E 2022 , ' Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search ' , European Physical Journal C , vol. 82 , no. 4 , 317 . https://doi.org/10.1140/epjc/s10052-022-10137-y article 2022 ftunivamstpubl https://doi.org/10.1140/epjc/s10052-022-10137-y 2024-09-12T16:38:41Z The KM3NeT research infrastructure is unconstruction in the Mediterranean Sea. KM3NeT will study atmospheric and astrophysical neutrinos with two multi-purpose neutrino detectors, ARCA and ORCA, primarily aimed at GeV–PeV neutrinos. Thanks to the multi-photomultiplier tube design of the digital optical modules, KM3NeT is capable of detecting the neutrino burst from a Galactic or near-Galactic core-collapse supernova. This potential is already exploitable with the first detection units deployed in the sea. This paper describes the real-time implementation of the supernova neutrino search, operating on the two KM3NeT detectors since the first months of 2019. A quasi-online astronomy analysis is introduced to study the time profile of the detected neutrinos for especially significant events. The mechanism of generation and distribution of alerts, as well as the integration into the SNEWS and SNEWS 2.0 global alert systems, are described. The approach for the follow-up of external alerts with a search for a neutrino excess in the archival data is defined. Finally, an overview of the current detector capabilities and a report after the first two years of operation are given. Article in Journal/Newspaper Orca Universiteit van Amsterdam: Digital Academic Repository (UvA DARE) The European Physical Journal C 82 4 |
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Universiteit van Amsterdam: Digital Academic Repository (UvA DARE) |
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ftunivamstpubl |
language |
English |
description |
The KM3NeT research infrastructure is unconstruction in the Mediterranean Sea. KM3NeT will study atmospheric and astrophysical neutrinos with two multi-purpose neutrino detectors, ARCA and ORCA, primarily aimed at GeV–PeV neutrinos. Thanks to the multi-photomultiplier tube design of the digital optical modules, KM3NeT is capable of detecting the neutrino burst from a Galactic or near-Galactic core-collapse supernova. This potential is already exploitable with the first detection units deployed in the sea. This paper describes the real-time implementation of the supernova neutrino search, operating on the two KM3NeT detectors since the first months of 2019. A quasi-online astronomy analysis is introduced to study the time profile of the detected neutrinos for especially significant events. The mechanism of generation and distribution of alerts, as well as the integration into the SNEWS and SNEWS 2.0 global alert systems, are described. The approach for the follow-up of external alerts with a search for a neutrino excess in the archival data is defined. Finally, an overview of the current detector capabilities and a report after the first two years of operation are given. |
format |
Article in Journal/Newspaper |
author |
Aiello, S. Basegmez du Pree, S. Bouwhuis, M. Bruijn, R. Domi, A. van Eeden, T. van Eijk, D. Gatius Oliver, C. de Jong, M. de Jong, P. Jung, B.J. Kooijman, P.M. Melis, K.W. Muller, R. Ó Fearraigh, B.P. Pestel, V. Samtleben, D.F.E. Seneca, J. de Wolf, E. |
spellingShingle |
Aiello, S. Basegmez du Pree, S. Bouwhuis, M. Bruijn, R. Domi, A. van Eeden, T. van Eijk, D. Gatius Oliver, C. de Jong, M. de Jong, P. Jung, B.J. Kooijman, P.M. Melis, K.W. Muller, R. Ó Fearraigh, B.P. Pestel, V. Samtleben, D.F.E. Seneca, J. de Wolf, E. Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search |
author_facet |
Aiello, S. Basegmez du Pree, S. Bouwhuis, M. Bruijn, R. Domi, A. van Eeden, T. van Eijk, D. Gatius Oliver, C. de Jong, M. de Jong, P. Jung, B.J. Kooijman, P.M. Melis, K.W. Muller, R. Ó Fearraigh, B.P. Pestel, V. Samtleben, D.F.E. Seneca, J. de Wolf, E. |
author_sort |
Aiello, S. |
title |
Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search |
title_short |
Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search |
title_full |
Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search |
title_fullStr |
Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search |
title_full_unstemmed |
Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search |
title_sort |
implementation and first results of the km3net real-time core-collapse supernova neutrino search |
publishDate |
2022 |
url |
https://dare.uva.nl/personal/pure/en/publications/implementation-and-first-results-of-the-km3net-realtime-corecollapse-supernova-neutrino-search(bb82f9c2-a400-46dc-964a-ad95d25620af).html https://doi.org/10.1140/epjc/s10052-022-10137-y https://hdl.handle.net/11245.1/bb82f9c2-a400-46dc-964a-ad95d25620af https://pure.uva.nl/ws/files/129381944/Implementation_and_first_results_of_the_KM3NeT.pdf |
genre |
Orca |
genre_facet |
Orca |
op_source |
Aiello , S , Basegmez du Pree , S , Bouwhuis , M , Bruijn , R , Domi , A , van Eeden , T , van Eijk , D , Gatius Oliver , C , de Jong , M , de Jong , P , Jung , B J , Kooijman , P M , Melis , K W , Muller , R , Ó Fearraigh , B P , Pestel , V , Samtleben , D F E & Seneca , J & de Wolf , E 2022 , ' Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search ' , European Physical Journal C , vol. 82 , no. 4 , 317 . https://doi.org/10.1140/epjc/s10052-022-10137-y |
op_relation |
https://dare.uva.nl/personal/pure/en/publications/implementation-and-first-results-of-the-km3net-realtime-corecollapse-supernova-neutrino-search(bb82f9c2-a400-46dc-964a-ad95d25620af).html |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1140/epjc/s10052-022-10137-y |
container_title |
The European Physical Journal C |
container_volume |
82 |
container_issue |
4 |
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