Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes
The IceAct telescopes are prototype Imaging Air Cherenkov telescopes (IACTs) situated at the IceCube Neutrino Observatory at the geographic South Pole. The IceAct telescopes measure the electromagnetic air shower component of cosmic rays in the atmosphere, which is complementary to the muonic compon...
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ftzenodo:oai:zenodo.org:6354760 2023-05-15T18:22:09+02:00 Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes Larissa Paul Karen Andeen Matthias Plum Thomas Bretz John Hewitt Adrian Zink for the IceCube Collaboration 2022-02-01 https://zenodo.org/record/6354760 https://doi.org/10.5281/zenodo.6354760 eng eng doi:10.5281/zenodo.6354759 https://zenodo.org/communities/ml-airshowers-bartol2022 https://zenodo.org/record/6354760 https://doi.org/10.5281/zenodo.6354760 oai:zenodo.org:6354760 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/lecture presentation 2022 ftzenodo https://doi.org/10.5281/zenodo.635476010.5281/zenodo.6354759 2023-03-10T19:39:27Z The IceAct telescopes are prototype Imaging Air Cherenkov telescopes (IACTs) situated at the IceCube Neutrino Observatory at the geographic South Pole. The IceAct telescopes measure the electromagnetic air shower component of cosmic rays in the atmosphere, which is complementary to the muonic component measured by the IceCube in-ice detector and the particle footprint measured at the surface by IceTop. For this Monte Carlo study a random forest is used to analyze the mass composition of the cosmic rays spectrum using the three independent measurements of the cosmic ray air showers provided by the different detector components. Conference Object South pole Zenodo South Pole |
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English |
description |
The IceAct telescopes are prototype Imaging Air Cherenkov telescopes (IACTs) situated at the IceCube Neutrino Observatory at the geographic South Pole. The IceAct telescopes measure the electromagnetic air shower component of cosmic rays in the atmosphere, which is complementary to the muonic component measured by the IceCube in-ice detector and the particle footprint measured at the surface by IceTop. For this Monte Carlo study a random forest is used to analyze the mass composition of the cosmic rays spectrum using the three independent measurements of the cosmic ray air showers provided by the different detector components. |
format |
Conference Object |
author |
Larissa Paul Karen Andeen Matthias Plum Thomas Bretz John Hewitt Adrian Zink for the IceCube Collaboration |
spellingShingle |
Larissa Paul Karen Andeen Matthias Plum Thomas Bretz John Hewitt Adrian Zink for the IceCube Collaboration Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes |
author_facet |
Larissa Paul Karen Andeen Matthias Plum Thomas Bretz John Hewitt Adrian Zink for the IceCube Collaboration |
author_sort |
Larissa Paul |
title |
Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes |
title_short |
Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes |
title_full |
Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes |
title_fullStr |
Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes |
title_full_unstemmed |
Cosmic ray mass composition study using a Random Forest applied to data from the IceAct telescopes |
title_sort |
cosmic ray mass composition study using a random forest applied to data from the iceact telescopes |
publishDate |
2022 |
url |
https://zenodo.org/record/6354760 https://doi.org/10.5281/zenodo.6354760 |
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South Pole |
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South Pole |
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South pole |
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South pole |
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doi:10.5281/zenodo.6354759 https://zenodo.org/communities/ml-airshowers-bartol2022 https://zenodo.org/record/6354760 https://doi.org/10.5281/zenodo.6354760 oai:zenodo.org:6354760 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.635476010.5281/zenodo.6354759 |
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1766201506450636800 |