Abstract
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 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.
Highlights
Knowing the elemental composition of cosmic ray particles arriving at Earth is of crucial importance to understand the production and propagation of cosmic rays
After a short introduction on air showers we will show the results of the comparison between the updated version of high energy hadronic interaction models EPOS Large Hadron Collider (LHC) and QGSJETII-04 with LHC data
As a consequence the number of muons in extensive air-showers (EAS) is sensitive to the number ofbaryons produced in the hadronic interactions and it is important to check the production of such particles in LHC data
Summary
Knowing the elemental composition of cosmic ray particles arriving at Earth is of crucial importance to understand the production and propagation of cosmic rays. We will discuss changes in the hadronic model predictions after LHC data and their consequences on air shower observables. Using detailed Monte Carlo simulations done with CONEX [15], the new predictions for Xmax, for the number of muons, and for the missing energy will be presented.
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