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1826204975194177536
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MIT
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© 2019 American Physical Society. We report on measurements of the all-particle cosmic ray energy spectrum and composition in the PeV to EeV energy range using 3 years of data from the IceCube Neutrino Observatory. The IceTop detector measures cosmic ray induced air showers on the surface of the ice, from which the energy spectrum of cosmic rays is determined by making additional assumptions about the mass composition. A separate measurement is performed when IceTop data are analyzed in coincidence with the high-energy muon energy loss information from the deep in-ice IceCube detector. In this measurement, both the spectrum and the mass composition of the primary cosmic rays are simultaneously reconstructed using a neural network trained on observables from both detectors. The performance and relative advantages of these two distinct analyses are discussed, including the systematic uncertainties and the dependence on the hadronic interaction models, and both all-particle spectra as well as individual spectra for elemental groups are presented.
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2024-09-23T13:04:15Z
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Article
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mit-1721.1/132220
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Massachusetts Institute of Technology
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| language |
English
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2024-09-23T13:04:15Z
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| publishDate |
2021
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| publisher |
American Physical Society (APS)
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dspace
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| spelling |
mit-1721.1/1322202022-04-01T17:20:49Z Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube © 2019 American Physical Society. We report on measurements of the all-particle cosmic ray energy spectrum and composition in the PeV to EeV energy range using 3 years of data from the IceCube Neutrino Observatory. The IceTop detector measures cosmic ray induced air showers on the surface of the ice, from which the energy spectrum of cosmic rays is determined by making additional assumptions about the mass composition. A separate measurement is performed when IceTop data are analyzed in coincidence with the high-energy muon energy loss information from the deep in-ice IceCube detector. In this measurement, both the spectrum and the mass composition of the primary cosmic rays are simultaneously reconstructed using a neural network trained on observables from both detectors. The performance and relative advantages of these two distinct analyses are discussed, including the systematic uncertainties and the dependence on the hadronic interaction models, and both all-particle spectra as well as individual spectra for elemental groups are presented. 2021-09-20T18:21:24Z 2021-09-20T18:21:24Z 2020-09-23T18:09:36Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/132220 en 10.1103/PHYSREVD.100.082002 Physical Review D Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society (APS) APS
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| spellingShingle |
Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
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| title |
Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
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| title_full |
Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
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| title_fullStr |
Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
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| title_full_unstemmed |
Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
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| title_short |
Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
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| title_sort |
cosmic ray spectrum and composition from pev to eev using 3 years of data from icetop and icecube
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| url |
https://hdl.handle.net/1721.1/132220
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