Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope

Core Collapse Supernovae (CCSN) are explosive phenomena that may occur at the end of the life of massive stars, releasing over 99% of the energy through emission of MeV neutrinos. Neutrinos are believed to play an important role in the not yet fully understood explosion mechanism. Only 24 SN neutrin...

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Main Author: LINCETTO, Massimiliano
Format: Still Image
Language:unknown
Published: Zenodo 2018
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Online Access:https://dx.doi.org/10.5281/zenodo.1300647
https://zenodo.org/record/1300647
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spelling ftdatacite:10.5281/zenodo.1300647 2023-05-15T17:53:44+02:00 Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope LINCETTO, Massimiliano 2018 https://dx.doi.org/10.5281/zenodo.1300647 https://zenodo.org/record/1300647 unknown Zenodo https://dx.doi.org/10.5281/zenodo.1300648 Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Text Poster article-journal ScholarlyArticle 2018 ftdatacite https://doi.org/10.5281/zenodo.1300647 https://doi.org/10.5281/zenodo.1300648 2021-11-05T12:55:41Z Core Collapse Supernovae (CCSN) are explosive phenomena that may occur at the end of the life of massive stars, releasing over 99% of the energy through emission of MeV neutrinos. Neutrinos are believed to play an important role in the not yet fully understood explosion mechanism. Only 24 SN neutrinos have been detected from the SN1987A event. For a galactic CCSN, the KM3NeT ORCA and ARCA detectors in the Mediterranean will observe a significant number of neutrinos via Cherenkov light, mostly from inverse beta decay interactions in a large seawater volume. Selection of coincidences between the 31 photomultipliers of KM3NeT optical modules allows to separate the signal from the optical background sources. The KM3NeT sensitivity for the detection of a galactic CCSN and the potential for the study of the burst time profile have been estimated from MC simulations. Specific criteria are proposed for the online triggering and the participation in the SNEWS global alert network. Still Image 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
description Core Collapse Supernovae (CCSN) are explosive phenomena that may occur at the end of the life of massive stars, releasing over 99% of the energy through emission of MeV neutrinos. Neutrinos are believed to play an important role in the not yet fully understood explosion mechanism. Only 24 SN neutrinos have been detected from the SN1987A event. For a galactic CCSN, the KM3NeT ORCA and ARCA detectors in the Mediterranean will observe a significant number of neutrinos via Cherenkov light, mostly from inverse beta decay interactions in a large seawater volume. Selection of coincidences between the 31 photomultipliers of KM3NeT optical modules allows to separate the signal from the optical background sources. The KM3NeT sensitivity for the detection of a galactic CCSN and the potential for the study of the burst time profile have been estimated from MC simulations. Specific criteria are proposed for the online triggering and the participation in the SNEWS global alert network.
format Still Image
author LINCETTO, Massimiliano
spellingShingle LINCETTO, Massimiliano
Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope
author_facet LINCETTO, Massimiliano
author_sort LINCETTO, Massimiliano
title Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope
title_short Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope
title_full Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope
title_fullStr Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope
title_full_unstemmed Detection Of Mev Supernova Neutrinos With The Km3Net Neutrino Telescope
title_sort detection of mev supernova neutrinos with the km3net neutrino telescope
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.1300647
https://zenodo.org/record/1300647
genre Orca
genre_facet Orca
op_relation https://dx.doi.org/10.5281/zenodo.1300648
op_rights Open Access
Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.1300647
https://doi.org/10.5281/zenodo.1300648
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