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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ftdatacite:10.5281/zenodo.4122638 2023-05-15T17:53:27+02:00 Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units Kalaczynski, Piotr 2020 https://dx.doi.org/10.5281/zenodo.4122638 https://zenodo.org/record/4122638 unknown Zenodo https://zenodo.org/communities/neutrino2020-posters https://dx.doi.org/10.5281/zenodo.4122639 https://zenodo.org/communities/neutrino2020-posters Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Text Poster article-journal ScholarlyArticle 2020 ftdatacite https://doi.org/10.5281/zenodo.4122638 https://doi.org/10.5281/zenodo.4122639 2021-11-05T12:55:41Z 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. Still Image 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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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 |
Still Image |
author |
Kalaczynski, Piotr |
spellingShingle |
Kalaczynski, Piotr Comparison of the measured atmospheric muon flux with Monte Carlo simulations for the first KM3NeT/ARCA and KM3NeT/ORCA Detection Units |
author_facet |
Kalaczynski, Piotr |
author_sort |
Kalaczynski, Piotr |
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://dx.doi.org/10.5281/zenodo.4122638 https://zenodo.org/record/4122638 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://zenodo.org/communities/neutrino2020-posters https://dx.doi.org/10.5281/zenodo.4122639 https://zenodo.org/communities/neutrino2020-posters |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4122638 https://doi.org/10.5281/zenodo.4122639 |
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1766161162882252800 |