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Whereas air shower simulations are very valuable tools for interpreting cosmic ray data, there is a long standing problem: is seems to be impossible to accommodate at the same time the longitudinal development of air showers and the number…

天体物理学 · 物理学 2008-11-26 T. Pierog , K. Werner

Since 2006, EPOS hadronic interaction model is being used for very high energy cosmic ray analysis. Designed for minimum bias particle physics and used for having a precise description of SPS and RHIC heavy ion collisions, EPOS brought more…

高能天体物理现象 · 物理学 2010-11-17 T. Pierog , Iu. Karpenko , S. Porteboeuf , K. Werner

Motivated by the excess of the muon content of cosmic ray induced extensive air showers (EAS), relative to EAS modeling, observed by the Pierre Auger Observatory, and by the tension between Auger data and air shower simulations on the…

高能物理 - 唯象学 · 物理学 2024-06-21 Sergey Ostapchenko , Günter Sigl

In the last decade, an increasing number of datasets have revealed a consistent discrepancy between the number of muons measured in ultra-high-energy extensive air showers (EAS) and the numbers predicted by simulations. This gap persists…

高能物理 - 唯象学 · 物理学 2024-04-10 Felix Riehn , Anatoli Fedynitch , Ralph Engel

A quantitative analysis of model uncertainties for calculations of the maximum depth of proton-initiated extensive air showers (EAS) has been performed. Staying within the standard physics picture and using the conventional approach to the…

高能物理 - 唯象学 · 物理学 2024-09-10 Sergey Ostapchenko , Guenter Sigl

High-energy cosmic rays are observed indirectly by detecting the extensive air showers initiated in Earth's atmosphere. The interpretation of these observations relies on accurate models of air shower physics, which is a challenge and an…

High-energy cosmic rays are observed indirectly by detecting the extensive air showers initiated in Earth's atmosphere. The interpretation of experimental data relies on accurate modeling of the air shower development. Simulations based on…

高能天体物理现象 · 物理学 2025-09-23 Lilly Pyras , Dennis Soldin , Felix Riehn

The relation of model predictions for muon content of extensive air showers (EAS) to particular properties of hadron-air interactions is discussed. Further, using a new Monte Carlo generator of cosmic ray interactions, QGSb, the relevance…

高能物理 - 唯象学 · 物理学 2026-04-02 Sergey Ostapchenko

We discuss air shower simulations based on the EPOS hadronic interaction model. A remarkable feature is the fact that the number of produced muons is considerably larger compared to other interaction models. We show that this is due to an…

天体物理学 · 物理学 2008-11-26 Klaus Werner , Tanguy Pierog

Recent results obtained from leading cosmic ray experiments indicate that simulations using LHC-tuned hadronic interaction models underestimate the number of muons in extensive air showers compared to experimental data. This is the…

Interpretation of extensive air showers (EAS) experiments results is strongly based on air shower simulations. The latter being based on hadronic interaction models, any new model can help for the understanding of the nature of cosmic rays.…

高能物理 - 唯象学 · 物理学 2009-12-08 T. Pierog , K. Werner

The excess of muons observed in ultra-high-energy cosmic-ray air showers relative to simulation predictions, known as the muon puzzle, provides indirect evidence of our incomplete understanding of high-energy hadronic interactions. An…

高能天体物理现象 · 物理学 2026-03-10 Ken Ohashi , Anatoli Fedynitch , Hiroaki Menjo

We investigate the observed muon deficit in air shower simulations when compared to ultrahigh-energy cosmic ray (UHECR) data. Based upon the observed enhancement of strangeness production in high-energy hadronic collisions reported by the…

高能物理 - 唯象学 · 物理学 2022-04-01 Luis A. Anchordoqui , Carlos Garcia Canal , Felix Kling , Sergio J. Sciutto , Jorge F. Soriano

EPOS is a Monte-Carlo event generator for minimum bias hadronic interactions, used for both heavy ion interactions and cosmic ray air shower simulations. Since the last public release in 2009, the LHC experiments have provided a number of…

高能物理 - 唯象学 · 物理学 2015-09-23 T. Pierog , Iu. Karpenko , J. M. Katzy , E. Yatsenko , K. Werner

The interpretation of extensive air shower (EAS) measurements is strongly dependent on the hadronic interaction models used for simulating reference showers. We study the importance of low-energy hadronic interactions in simulated air…

天体物理学 · 物理学 2008-11-26 Christine Meurer , J. Bluemer , R. Engel , A. Haungs , M. Roth , the HARP collaboration

In extensive air shower experiments, the number of muons crossing a detector at a given position, as well as their arrival time, arrival direction, and energy, are determined by a more fundamental 3-dimensional distribution linked to the…

高能物理 - 唯象学 · 物理学 2023-03-15 Lorenzo Cazon , Rúben Conceição , Felix Riehn

We investigate the observed muon deficit in air shower simulations when compared to ultrahigh-energy cosmic ray (UHECR) data. Gleaned from the observed enhancement of strangeness production in ALICE data, the associated $\pi \leftrightarrow…

高能物理 - 唯象学 · 物理学 2023-07-18 Sergio J. Sciutto , Luis A. Anchordoqui , Carlos Garcia Canal , Felix Kling , Jorge F. Soriano

The predictions of hadronic interaction models for cosmic-ray induced air showers contain inherent uncertainties due to limitations of available accelerator data. This leads to differences in shower simulations using each of those models.…

高能天体物理现象 · 物理学 2025-02-18 Benedetta Bruno , Rodrigo Guedes Lang , Luan Bonneau Arbeletche , Vitor de Souza , Stefan Funk

We report on a study about some characteristics of muon production during the development of extended air showers initiated by ultra-high-energy cosmic rays. Using simulations with the recent new version of the AIRES air shower simulation…

高能天体物理现象 · 物理学 2019-06-12 S. J. Sciutto

Extensive air showers (EAS), produced by cosmic rays in the atmosphere, serve as probes of particle interactions, providing access to energies and kinematical regimes beyond the reach of laboratory experiments. Measurements from multiple…

高能天体物理现象 · 物理学 2025-12-18 Nickolay S. Martynenko , Grigory I. Rubtsov , Petr S. Satunin , Andrey K. Sharofeev , Sergey V. Troitsky
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