TY - JOUR
T1 - Cosmic ray spectrum and composition from PeV to EeV using 3 years of data from IceTop and IceCube
AU - Aartsen, M.G.
AU - Ackermann, M.
AU - Adams, J.
AU - Aguilar, J.A.
AU - Ahlers, Markus Tobias
AU - Ahrens, M.
AU - Alispach, C.
AU - Andeen, K.
AU - Anderson, T.
AU - Ansseau, I.
AU - Bourbeau, Etienne
AU - Koskinen, D. Jason
AU - Medici, Morten Ankersen
AU - Rameez, M
AU - Stuttard, Thomas Simon
AU - Sarkar, Subir
AU - Icecube Collaboration
PY - 2019/10/23
Y1 - 2019/10/23
N2 - 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.
AB - 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.
U2 - 10.1103/PhysRevD.100.082002
DO - 10.1103/PhysRevD.100.082002
M3 - Journal article
SN - 2470-0010
VL - 100
JO - Physical Review D
JF - Physical Review D
IS - 8
M1 - 082002
ER -