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Probability Evaluation of Relativistic Runaway Electron Avalanches (RREA) (GEANT4 based source code)

Authors: D. Sarria;

Probability Evaluation of Relativistic Runaway Electron Avalanches (RREA) (GEANT4 based source code)

Abstract

Source code used for the Article : "Evaluation of Monte Carlo tools for high energy atmospheric physics II: relativistic runaway electron avalanches" by D. Sarria et al. Link to the article : https://www.geosci-model-dev-discuss.net/gmd-2018-119/ DOI of the article: 10.5194/gmd-2018-119 In this project we compare for several codes probability to generate Relativistic Runaway Electron Avalanches (RREA) The source code of the GEANT4 implementation is made available. For more info on how to use GEANT4, see http://geant4.cern.ch/support/userdocuments.shtml . The associated GitLab repository: https://gitlab.com/dsarria/av_prob

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Keywords

relativistic electron photon positron high energy atmospheric physics geant4 monte carlo c++

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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