Abstract
Muons from the “prompt” decays of charmed mesons in cosmic ray air showers start to show abundance on the atmospheric muon spectrum from few tens of TeV. Study of these prompt muons have broader interest in particle and astroparticle physics. The measurement of prompt muon in air showers is challenging because of their low production rate and the large amount of conventional muons produced in company with them. This paper describes the simulation study of a method that identifies prompt muon signatures based on the pattern of stochastic energy losses by muon bundles in deep under ice. The systematics associated with different hadronic interaction models and cosmic ray primary composition assumptions were estimated. Using IceCube as an example, we briefly discussed the challenge of using this method in experimental data analysis.
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