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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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
EDP Sciences
2015-01-01
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| Colección: | EPJ Web of Conferences |
| Acceso en línea: | http://dx.doi.org/10.1051/epjconf/20159909002 |
| Sumario: | 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. |
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| ISSN: | 2100-014X |