2021
DOI: 10.48550/arxiv.2103.00578
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ShowerModel: A Python package for modelling cosmic-rayshowers, their light production and their detection

Daniel Morcuende,
Jaime Rosado

Abstract: Cosmic-ray observatories necessarily rely on Monte Carlo simulations for their design, calibration and analysis of their data. Detailed simulations are very demanding computationally. We present a python-based package called ShowerModel to model cosmic-ray showers, their light production and their detection by an array of telescopes. It is based on parameterizations of both Cherenkov and fluorescence emission in cosmic-ray induced air showers. The package permits the modelling of fluorescence telescopes, imagi… Show more

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“…Commonly used analytical functions for the longitudinal number of charged particles in an EAS are the Greisen [7] or Gaisser-Hillas [8] function and for the lateral distribution the Nishimura-Kamata-Greisen function [9]. The former mentioned functions together with parametrizations of fluorescence and Cherenkov light emission [10] have been used in ShowerModel [11,12] to simulate the light emission in EAS and its detection by IACTs. While parametrizations tend to miss the fluctuations in the shower development, this is less of a problem at higher primary particle energies.…”
Section: Jinst 18 P08018mentioning
confidence: 99%
“…Commonly used analytical functions for the longitudinal number of charged particles in an EAS are the Greisen [7] or Gaisser-Hillas [8] function and for the lateral distribution the Nishimura-Kamata-Greisen function [9]. The former mentioned functions together with parametrizations of fluorescence and Cherenkov light emission [10] have been used in ShowerModel [11,12] to simulate the light emission in EAS and its detection by IACTs. While parametrizations tend to miss the fluctuations in the shower development, this is less of a problem at higher primary particle energies.…”
Section: Jinst 18 P08018mentioning
confidence: 99%