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The fluxes of atmospheric muons and neutrinos are calculated by a three dimensional Monte Carlo simulation with the air shower code CORSIKA using the hadronic interaction models DPMJET, VENUS, GHEISHA, and UrQMD. For the simulation of low…

High Energy Physics - Phenomenology · Physics 2016-08-16 J. Wentz , I. M. Brancus , A. Bercuci , D. Heck , J. Oehlschläger , H. Rebel , B. Vulpescu

Muon rate models play a key role in converting measured data into information on the density distributions of a target. Any given muography measurement, either in transmission or in scattering mode, requires a proper modelization of the…

The KM3NeT Collaboration has successfully deployed the first detection units of the next generation undersea neutrino telescopes in the Mediterranean Sea at the two sites in Italy and in France. A sample of the data collected between…

Instrumentation and Detectors · Physics 2021-10-20 Piotr Kalaczyński

The KM3NeT Collaboration has successfully deployed the first detection units of the next generation undersea neutrino telescopes in the Mediterranean Sea at the two sites in Italy and in France. The data sample collected between December…

High Energy Physics - Experiment · Physics 2022-08-11 Piotr Kalaczyński

The measurement of the flux of muons produced in cosmic ray air showers is essential for the study of primary cosmic rays. Such measurements are important in extensive air shower detectors to assess the energy spectrum and the chemical…

High Energy Astrophysical Phenomena · Physics 2024-09-16 KM3NeT Collaboration

Extensive air showers produce high-energy muons that can be utilized to probe hadronic interaction models in cosmic ray interactions. Most muons originate from pion and kaon decays, called $\textit{conventional}$ muons, while a smaller…

A potential difference of 1.3 Giga-Volts (GV) was inferred across a thundercloud using data from the GRAPES-3 muon telescope (G3MT) [1]. This was the first-ever estimation of gigavolt potential in thunderstorms, confirming prediction of…

The air shower simulation code CORSIKA has served as a key part of the simulation chain for numerous astroparticle physics experiments over the past decades. Due to retirement of the original developers and the increasingly difficult…

High Energy Astrophysical Phenomena · Physics 2023-08-15 Alexander Sandrock , Jean-Marco Alameddine , Felix Riehn

The GRAPES-3 muon telescope located in Ooty, India records rapid ($\sim$10 min) variations in the muon intensity during major thunderstorms. Out of a total of 184 thunderstorms recorded during the interval April 2011-December 2014, the one…

The particle showers produced in the atmosphere due to the interactions of primary cosmic particles require a thorough understanding in the backdrop of searches for rare interactions. In this work, we made a comprehensive study of air…

High Energy Physics - Phenomenology · Physics 2024-02-15 Hariom Sogarwal , Prashant Shukla

Atmospheric muons are one of the main backgrounds for current Water- and Ice-Cherenkov neutrino telescopes designed to detect astrophysical neutrinos. The inclusive fluxes of atmospheric muons and neutrinos from hadronic interactions of…

High Energy Astrophysical Phenomena · Physics 2019-10-15 Stephan Meighen-Berger , Mingyang Li

Galactic Cosmic Rays (GCRs) have to travel through the heliosphere before they interact with the Earth's atmosphere. During this, they are deflected by the Sun's magnetic field, causing variations in this field to imprint on the flux,…

Cosmic ray air showers are known to emit pulsed radio emission which can be understood as coherent geosynchrotron radiation arising from the deflection of electron-positron pairs in the earth's magnetic field. Here, we present simulations…

Astrophysics · Physics 2019-08-14 Tim Huege

Numerical weather prediction requires initial estimates of the atmospheric state. Since the atmospheric density field is intricately woven into the atmosphere's governing equations, advancing atmospheric density estimation will improve…

Atmospheric and Oceanic Physics · Physics 2025-09-08 William Luszczak , Man-Yau Chan

The seasonal variation of single muons is a well-understood phenomenon, mainly driven by a positive correlation with temperature fluctuations in the atmospheric profiles. However, the rate of multi-muon events recorded by various…

High Energy Astrophysical Phenomena · Physics 2025-09-23 Jordi Tuneu , Eva Santos , Peter Filip

Recently an essential progress in development of physical models for cosmic ray induced ionization in the atmosphere is achieved. Basically, the models are full target, i.e. based on Monte Carlo simulation of an electromagnetic-muon-nucleon…

High Energy Astrophysical Phenomena · Physics 2014-09-29 A. Mishev , P. I. Y. Velinov

The discrepancy between models and data regarding the muon content in air showers generated by ultra-high energy cosmic rays still needs to be solved. The CONEX simulation framework provides a flexible tool to assess the impact of different…

High Energy Astrophysical Phenomena · Physics 2024-12-30 Ana Martina Botti , Isabel Astrid Goos , Matias Perlin , Tanguy Pierog

CORSIKA up to version 7 has been the most-used Monte Carlo code for simulating extensive air showers for more than 20 years. Due to its monolithic, Fortran-based software design and hand-optimized code, however, it has become difficult to…

High Energy Astrophysical Phenomena · Physics 2023-08-11 Tim Huege , Maximilian Reininghaus

An interpretation of AGASA (Akeno Giant Air Shower Array) data by comparing the experimental results with the simulated ones by CORSIKA (COsmic Ray SImulation for KASCADE) has been made. General features of the electromagnetic component and…

Astrophysics · Physics 2016-08-30 M. Nagano , D. Heck , K. Shinozaki , N. Inoue , J. Knapp

Optimization of the SPHERE-3 detector configuration, designed to study the mass composition of primary cosmic rays in the energy range 1--1000 PeV by registering Cherenkov light reflected from the snow surface, requires simulation of a…

Instrumentation and Methods for Astrophysics · Physics 2026-03-11 V. A. Ivanov , V. I. Galkin , E. A. Bonvech , O. V. Cherkesova , D. V. Chernov , T. A. Kolodkin , N. O. Ovcharenko , D. A. Podgrudkov , T. M. Roganova , M. D. Ziva
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