Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units

The KM3NeT Collaboration has successfully deployed the first detection units in the Mediterranean Sea in 2016 and 2017 at the two sites in Italy and in France. The sample of data collected between December 2016 and January 2020 has been used to measure the atmospheric muon flux at two differen t dep...

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Main Author: Piotr Kalaczynski
Format: Conference Object
Language:unknown
Published: Zenodo 2020
Subjects:
Orca
Online Access:https://doi.org/10.5281/zenodo.4122639
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spelling ftzenodo:oai:zenodo.org:4122639 2024-09-09T20:02:12+00:00 Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units Piotr Kalaczynski 2020-06-22 https://doi.org/10.5281/zenodo.4122639 unknown Zenodo https://zenodo.org/communities/neutrino2020-posters https://doi.org/10.5281/zenodo.4122638 https://doi.org/10.5281/zenodo.4122639 oai:zenodo.org:4122639 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Neutrino 2020, Online info:eu-repo/semantics/conferencePoster 2020 ftzenodo https://doi.org/10.5281/zenodo.412263910.5281/zenodo.4122638 2024-07-27T04:34:44Z The KM3NeT Collaboration has successfully deployed the first detection units in the Mediterranean Sea in 2016 and 2017 at the two sites in Italy and in France. The sample of data collected between December 2016 and January 2020 has been used to measure the atmospheric muon flux at two differen t depths under the sea level: 3.5 km with ARCA and 2.5 km with ORCA. The atmospheric muon flux represents an abundant signal for a neutrino telescope and can be used to test the reliability of the Monte Carlo simulation chain. In this contribution the mea surements are compared to Monte Carlo simulations based mainly on MUPAGE and CORSIKA codes. The main features of the simulation and reconstruction chain are discussed and presented in the poster. Conference Object Orca Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description The KM3NeT Collaboration has successfully deployed the first detection units in the Mediterranean Sea in 2016 and 2017 at the two sites in Italy and in France. The sample of data collected between December 2016 and January 2020 has been used to measure the atmospheric muon flux at two differen t depths under the sea level: 3.5 km with ARCA and 2.5 km with ORCA. The atmospheric muon flux represents an abundant signal for a neutrino telescope and can be used to test the reliability of the Monte Carlo simulation chain. In this contribution the mea surements are compared to Monte Carlo simulations based mainly on MUPAGE and CORSIKA codes. The main features of the simulation and reconstruction chain are discussed and presented in the poster.
format Conference Object
author Piotr Kalaczynski
spellingShingle Piotr Kalaczynski
Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units
author_facet Piotr Kalaczynski
author_sort Piotr Kalaczynski
title Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units
title_short Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units
title_full Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units
title_fullStr Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units
title_full_unstemmed Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units
title_sort comparison of the measured atmospheric muon flux with monte carlo simulations for the first km3net/arca and km3net/orca detection units
publisher Zenodo
publishDate 2020
url https://doi.org/10.5281/zenodo.4122639
genre Orca
genre_facet Orca
op_source Neutrino 2020, Online
op_relation https://zenodo.org/communities/neutrino2020-posters
https://doi.org/10.5281/zenodo.4122638
https://doi.org/10.5281/zenodo.4122639
oai:zenodo.org:4122639
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.412263910.5281/zenodo.4122638
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