A Simulation Study on the Cosmic-Ray Energy Spectra of Elemental Mass Groups using the Tibet Air-Shower and Muon Detector Arrays through the Bayesian Unfolding Method

Abstract We study the analysis method to determine the cosmic-ray energy spectra of different mass groups assuming the use of the Tibet AS$\gamma$ experiment, which consists of the high-density Tibet air-shower array and the underground muon detector array. These arrays measure the sampling air-shower size $\Sigma \rho$ and the total muon number $\Sigma N_{\mu }$ of each air-shower event. These parameters are known to contain information on the energy and mass of the primary particle. To reconstruct the energy spectra of individual cosmic-ray mass groups, we apply a multidimensional unfolding method based on Bayes’ theorem to the 2D distribution of $\Sigma \rho$ and $\Sigma N_{\mu }$ produced by Monte Carlo simulation. Simulated datasets with combinations of the EPOS-LHC, SIBYLL-2.3c, and QGSJET II-04 high-energy hadronic interaction models and a helium-dominant composition model are analyzed while using a response matrix produced by EPOS-LHC. The unfolded spectra of the EPOS + helium-dominant composition model dataset show a deviation from the input flux within $\pm$10% except for a few bins, meaning that the uncertainty of the technique itself and the composition model dependence is at that level. It is also shown that the deviation in the all-particle spectrum is within $\pm$10% even when using different hadronic interaction models in the dataset and the response matrix. On the other hand, the unfolded spectra of individual mass groups have a clear dependence on the hadronic interaction model. The model dependence of the proton and helium spectra amounts to $\pm 25$% below 10$^{6.5}$ GeV. The dependence in the carbon group is at a $\pm 25\rm{\%}$ level below 10$^{6}$ GeV, and for the iron spectrum, it amounts to $+55\%$ and $-30\%$ in the energy range of 10$^{5.1}$ GeV to 10$^{6.7}$ GeV. We are now able to measure individual energy spectra in the knee region—including those of heavy nuclei, which remain poorly understood. Thanks to the recent extension of direct measurements beyond 10$^{4}$ GeV, a comparison between our analysis and the direct measurements will provide a good test of the hadronic interaction models.

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Journal
Progress of Theoretical and Experimental Physics
Published
2025-09-24
DOI
https://doi.org/10.1093/ptep/ptaf133
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

A Simulation Study on the Cosmic-Ray Energy Spectra of Elemental Mass Groups using the Tibet Air-Shower and Muon Detector Arrays through the Bayesian Unfolding Method

T. Sako, Y. Katayose, M. Ohnishi, M. Anzorena et al.
Progress of Theoretical and Experimental Physics
Astrophysics and Cosmic Phenomena
article

A Simulation Study on the Cosmic-Ray Energy Spectra of Elemental Mass Groups using the Tibet Air-Shower and Muon Detector Arrays through the Bayesian Unfolding Method

T. Sako, Y. Katayose, M. Ohnishi, M. Anzorena, K. Kawata, K. Fujita, Shin‐ichiro Kato, F. Sugimoto, T. Kawashima, Akira Mizuno, R. Murillo Garcia, M. Takita, Y. Yokoe, G. Imaizumi
article en

Abstract

Abstract We study the analysis method to determine the cosmic-ray energy spectra of different mass groups assuming the use of the Tibet AS$\gamma$ experiment, which consists of the high-density Tibet air-shower array and the underground muon detector array. These arrays measure the sampling air-shower size $\Sigma \rho$ and the total muon number $\Sigma N_{\mu }$ of each air-shower event. These parameters are known to contain information on the energy and mass of the primary particle. To reconstruct the energy spectra of individual cosmic-ray mass groups, we apply a multidimensional unfolding method based on Bayes’ theorem to the 2D distribution of $\Sigma \rho$ and $\Sigma N_{\mu }$ produced by Monte Carlo simulation. Simulated datasets with combinations of the EPOS-LHC, SIBYLL-2.3c, and QGSJET II-04 high-energy hadronic interaction models and a helium-dominant composition model are analyzed while using a response matrix produced by EPOS-LHC. The unfolded spectra of the EPOS + helium-dominant composition model dataset show a deviation from the input flux within $\pm$10% except for a few bins, meaning that the uncertainty of the technique itself and the composition model dependence is at that level. It is also shown that the deviation in the all-particle spectrum is within $\pm$10% even when using different hadronic interaction models in the dataset and the response matrix. On the other hand, the unfolded spectra of individual mass groups have a clear dependence on the hadronic interaction model. The model dependence of the proton and helium spectra amounts to $\pm 25$% below 10$^{6.5}$ GeV. The dependence in the carbon group is at a $\pm 25\rm{\%}$ level below 10$^{6}$ GeV, and for the iron spectrum, it amounts to $+55\%$ and $-30\%$ in the energy range of 10$^{5.1}$ GeV to 10$^{6.7}$ GeV. We are now able to measure individual energy spectra in the knee region—including those of heavy nuclei, which remain poorly understood. Thanks to the recent extension of direct measurements beyond 10$^{4}$ GeV, a comparison between our analysis and the direct measurements will provide a good test of the hadronic interaction models.

Progress of Theoretical and Experimental PhysicsVol. 2025(10)
Centre National de la Recherche Scientifique (FR), Yokohama National University (JP), Institut d'Astrophysique de Paris (FR), Sorbonne Université (FR), Kavli Institute for the Physics and Mathematics of the Universe (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science, Institute for Cosmic Ray Research, University of Tokyo
Openalex Percentile: Top 89%
Astrophysics and Cosmic Phenomena
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