Modelling hadronic interactions in cosmic ray Monte Carlo generators

Currently the uncertainty in the prediction of shower observables for different primary particles and energies is dominated by differences between hadronic interaction models. The LHC data on minimum bias measurements can be used to test Monte Carlo generators and these new constraints will help to...

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Bibliographic Details
Main Author: Pierog, Tanguy
Format: Conference Proceeding
Language:English
Subjects:
Air showers
Computer simulation
Cosmic ray showers
Cosmic rays
Generators
Interaction models
Mathematical models
Monte Carlo methods
Monte Carlo simulation
Uncertainty
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Summary:Currently the uncertainty in the prediction of shower observables for different primary particles and energies is dominated by differences between hadronic interaction models. The LHC data on minimum bias measurements can be used to test Monte Carlo generators and these new constraints will help to reduce the uncertainties in air shower predictions. In this article, after a short introduction on air showers and Monte Carlo generators, we will show the results of the comparison between the updated version of high energy hadronic interaction models EPOS LHC and QGSJETII-04 with LHC data. Results for air shower simulations and their consequences on comparisons with air shower data will be discussed.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/20159909002