Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation

The SLAC T-510 experiment was designed to compare controlled laboratory measurements of radio emission of particle showers to predictions using particle-level simulations, which are relied upon in ultra-high-energy cosmic-ray air shower detection. Established formalisms for the simulation of radio e...

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Main Author: Zilles Anne
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201713501018
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spelling doaj-f44c4bff638e4140a3473dbc9b959bda2021-08-02T11:02:39ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011350101810.1051/epjconf/201713501018epjconf_arena2017_01018Modeling of radio emission from a particle cascade in a magnetic field and its experimental validationZilles Anne0Institut für Experimentelle Kernphysik, Karlsruher Institut für Technologie,The SLAC T-510 experiment was designed to compare controlled laboratory measurements of radio emission of particle showers to predictions using particle-level simulations, which are relied upon in ultra-high-energy cosmic-ray air shower detection. Established formalisms for the simulation of radio emission physics, the “endpoint” formalism and the “ZHS” formalism, lead to results which can be explained by a superposition of magnetically induced transverse current radiation and charge-excess radiation due to the Askaryan effect. Here, we present the results of Geant4 simulations for the SLAC T-510 experiment, taking into account the details of the experimental setup (beam energy, target geometry and material, magnetic field configuration, and refraction effects) and their comparison to measured data with respect to e.g. signal polarisation, linearity with magnetic field, and angular distribution. We find that the microscopic calculations reproduce the measurements within uncertainties and describe the data well.https://doi.org/10.1051/epjconf/201713501018
collection DOAJ
language English
format Article
sources DOAJ
author Zilles Anne
spellingShingle Zilles Anne
Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
EPJ Web of Conferences
author_facet Zilles Anne
author_sort Zilles Anne
title Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
title_short Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
title_full Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
title_fullStr Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
title_full_unstemmed Modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
title_sort modeling of radio emission from a particle cascade in a magnetic field and its experimental validation
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description The SLAC T-510 experiment was designed to compare controlled laboratory measurements of radio emission of particle showers to predictions using particle-level simulations, which are relied upon in ultra-high-energy cosmic-ray air shower detection. Established formalisms for the simulation of radio emission physics, the “endpoint” formalism and the “ZHS” formalism, lead to results which can be explained by a superposition of magnetically induced transverse current radiation and charge-excess radiation due to the Askaryan effect. Here, we present the results of Geant4 simulations for the SLAC T-510 experiment, taking into account the details of the experimental setup (beam energy, target geometry and material, magnetic field configuration, and refraction effects) and their comparison to measured data with respect to e.g. signal polarisation, linearity with magnetic field, and angular distribution. We find that the microscopic calculations reproduce the measurements within uncertainties and describe the data well.
url https://doi.org/10.1051/epjconf/201713501018
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