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A monte carlo study to measure heavy-component spectra of the primary cosmic-rays at the knee by a new hybrid experiment (YAC-II+Tibet-III+MD)

Abstract:

New hybrid detectors have been constructed by the Tibet ASγ collaboration at Tibet, China, since 2011. They consist of a low threshold burst-detector-grid (YAC-II, Yangbajing Air shower Core array, 124 units, ∼500 m2), the Tibet air-shower array (Tibet-III, 789 units, ∼37000 m2) and a large underground water Cherenkov muon detector array (MD, 80 units, ∼5000 m2), and data taking will be started this year. We have carried out the air shower MC simulation by using CORSIKA (ver. 6.204), which includes QGSJETII hadronic interaction model. The simulated air-shower events are reconstructed with the real detector configuration as the (YACII+Tibet-III+MD) hybrid experiment and all detector responses are calculated using Geant4 (ver 9.5). In this paper, the capability of the separation of the primary heavy components with use of the MC data is investigated by means of an artificial neural network (ANN) method. Our result shows that the new hybrid experiment is powerful enough to study the chemical compositions, in particular, to obtain the heavy-component spectra of the primary cosmic rays around and beyond the knee.