Effect of multiple reusing of simulated air showers in detector simulations

Abstract

The study of high energy cosmic rays requires detailed Monte Carlo simulations of both, extensive air showers and the detectors involved in their detection. In particular, the energy calibration of several experiments is obtained from simulations. Also, in composition studies simulations play a fundamental role because the primary mass is determined by comparing experimental with simulated data. At the highest energies the detailed simulation of air showers is very costly in processing time and disk space due to the large number of secondary particles generated in interactions with the atmosphere. Therefore, in order to increase the statistics, it is quite common to recycle single showers many times to simulate the detector response. As a result, the events of the Monte Carlo samples generated in this way are not fully independent. In this work we study the artificial effects introduced by the multiple use of single air showers for the detector simulations. In particular, we study in detail the effects introduced by the repetitions in the kernel density estimators which are frequently used in composition studies.

arXiv comment15 pages and 4 figures

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Cited by in corpus (3)

• A new composition-sensitive parameter for Ultra-High Energy Cosmic Rays
• On the possibility of primary identification of individual cosmic ray showers
• Multivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport