Core-Collapse Supernova neutrino detection with KM3NeT

International audience Core Collapse Supernovae (CCSNe) are explosive phenomena that may occur at the end of the life of massive stars, releasing over 99% of the energy through neutrino emission. While the explosion mechanism is not fully understood, neutrinos are believed to play an important role....

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Published in:EPJ Web of Conferences
Main Authors: Molla, Marta Colomer, Lincetto, Massimiliano
Other Authors: AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Format: Conference Object
Language:English
Published: HAL CCSD 2018
Subjects:
Online Access:https://hal.science/hal-02144278
https://doi.org/10.1051/epjconf/201920705007
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spelling ftobservparis:oai:HAL:hal-02144278v1 2024-05-19T07:46:48+00:00 Core-Collapse Supernova neutrino detection with KM3NeT Molla, Marta Colomer Lincetto, Massimiliano AstroParticule et Cosmologie (APC (UMR_7164)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Centre de Physique des Particules de Marseille (CPPM) Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS) Dubna, Russia 2018-10-02 https://hal.science/hal-02144278 https://doi.org/10.1051/epjconf/201920705007 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.1051/epjconf/201920705007 hal-02144278 https://hal.science/hal-02144278 doi:10.1051/epjconf/201920705007 INSPIRE: 1734364 EPJ Web Conf. 8th Very Large Volume Neutrino Telescope Workshop https://hal.science/hal-02144278 8th Very Large Volume Neutrino Telescope Workshop, Oct 2018, Dubna, Russia. pp.05007, ⟨10.1051/epjconf/201920705007⟩ neutrino: supernova supernova: collapse star: massive numerical calculations: Monte Carlo radiation: Cherenkov KM3NeT galaxy optical semileptonic decay photomultiplier sensitivity background water network on-line photon [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] info:eu-repo/semantics/conferenceObject Conference papers 2018 ftobservparis https://doi.org/10.1051/epjconf/201920705007 2024-04-25T01:34:35Z International audience Core Collapse Supernovae (CCSNe) are explosive phenomena that may occur at the end of the life of massive stars, releasing over 99% of the energy through neutrino emission. While the explosion mechanism is not fully understood, neutrinos are believed to play an important role. The only detection as of today are the 24 neutrinos from SN1987A. The observation of the next Galactic CCSN will lead to important breakthroughs in astroparticle physics. For a Galactic CCSN, the KM3NeT ORCA and ARCA detectors in the Mediterranean Sea will observe a significant neutrino signal via the detection of Cherenkov light, mostly induced by Inverse Beta Decay interactions in sea water. The detection of coincident photons by the 31 photomultipliers of each KM3NeT digital optical module (DOM) allows for an efficient discrimination of the optical backgrounds.The KM3NeT detection sensitivity to a Galactic CCSN and the potential to resolve the neutrino light-curve have been estimated relying on detailed Monte Carlo simulations. Specific criteria are proposed for the online triggering and the participation in the SNEWS network. Conference Object Orca Archive de l'Observatoire de Paris (HAL) EPJ Web of Conferences 207 05007
institution Open Polar
collection Archive de l'Observatoire de Paris (HAL)
op_collection_id ftobservparis
language English
topic neutrino: supernova
supernova: collapse
star: massive
numerical calculations: Monte Carlo
radiation: Cherenkov
KM3NeT
galaxy
optical
semileptonic decay
photomultiplier
sensitivity
background
water
network
on-line
photon
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
spellingShingle neutrino: supernova
supernova: collapse
star: massive
numerical calculations: Monte Carlo
radiation: Cherenkov
KM3NeT
galaxy
optical
semileptonic decay
photomultiplier
sensitivity
background
water
network
on-line
photon
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Molla, Marta Colomer
Lincetto, Massimiliano
Core-Collapse Supernova neutrino detection with KM3NeT
topic_facet neutrino: supernova
supernova: collapse
star: massive
numerical calculations: Monte Carlo
radiation: Cherenkov
KM3NeT
galaxy
optical
semileptonic decay
photomultiplier
sensitivity
background
water
network
on-line
photon
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
description International audience Core Collapse Supernovae (CCSNe) are explosive phenomena that may occur at the end of the life of massive stars, releasing over 99% of the energy through neutrino emission. While the explosion mechanism is not fully understood, neutrinos are believed to play an important role. The only detection as of today are the 24 neutrinos from SN1987A. The observation of the next Galactic CCSN will lead to important breakthroughs in astroparticle physics. For a Galactic CCSN, the KM3NeT ORCA and ARCA detectors in the Mediterranean Sea will observe a significant neutrino signal via the detection of Cherenkov light, mostly induced by Inverse Beta Decay interactions in sea water. The detection of coincident photons by the 31 photomultipliers of each KM3NeT digital optical module (DOM) allows for an efficient discrimination of the optical backgrounds.The KM3NeT detection sensitivity to a Galactic CCSN and the potential to resolve the neutrino light-curve have been estimated relying on detailed Monte Carlo simulations. Specific criteria are proposed for the online triggering and the participation in the SNEWS network.
author2 AstroParticule et Cosmologie (APC (UMR_7164))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris
Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
Centre de Physique des Particules de Marseille (CPPM)
Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
format Conference Object
author Molla, Marta Colomer
Lincetto, Massimiliano
author_facet Molla, Marta Colomer
Lincetto, Massimiliano
author_sort Molla, Marta Colomer
title Core-Collapse Supernova neutrino detection with KM3NeT
title_short Core-Collapse Supernova neutrino detection with KM3NeT
title_full Core-Collapse Supernova neutrino detection with KM3NeT
title_fullStr Core-Collapse Supernova neutrino detection with KM3NeT
title_full_unstemmed Core-Collapse Supernova neutrino detection with KM3NeT
title_sort core-collapse supernova neutrino detection with km3net
publisher HAL CCSD
publishDate 2018
url https://hal.science/hal-02144278
https://doi.org/10.1051/epjconf/201920705007
op_coverage Dubna, Russia
genre Orca
genre_facet Orca
op_source EPJ Web Conf.
8th Very Large Volume Neutrino Telescope Workshop
https://hal.science/hal-02144278
8th Very Large Volume Neutrino Telescope Workshop, Oct 2018, Dubna, Russia. pp.05007, ⟨10.1051/epjconf/201920705007⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1051/epjconf/201920705007
hal-02144278
https://hal.science/hal-02144278
doi:10.1051/epjconf/201920705007
INSPIRE: 1734364
op_doi https://doi.org/10.1051/epjconf/201920705007
container_title EPJ Web of Conferences
container_volume 207
container_start_page 05007
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