2021
DOI: 10.1016/j.nima.2021.165298
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GGS: A Generic Geant4 Simulation package for small- and medium-sized particle detection experiments

Abstract: The Generic Geant4 Simulation (GGS) is a package designed to speed-up the realization and deployment of Monte Carlo simulation software based on Geant4, for small-and medium-sized high-energy experiments. For many common use cases, the task of setting up a full-featured simulation of the detector is reduced to the definition of the detector geometry, by providing generic and reusable implementations of the mandatory Geant4 user classes (particle generation, scoring, output etc.). Extensibility is provided by a… Show more

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Cited by 13 publications
(9 citation statements)
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“…Possible effects in the performances of 5D tracking depend on the specific implemented layout, and they will be studied in detail in future publications for a studycase space mission. The Generic Geant4 Simulation (GGS) software [61] suite was used to simulate the detector layout and the propagation and interactions of particles inside the detector materials. A thorough modeling of the sensor signal generation and shaping is beyond the scope of this work.…”
Section: Testing Prospects With Simulationsmentioning
confidence: 99%
“…Possible effects in the performances of 5D tracking depend on the specific implemented layout, and they will be studied in detail in future publications for a studycase space mission. The Generic Geant4 Simulation (GGS) software [61] suite was used to simulate the detector layout and the propagation and interactions of particles inside the detector materials. A thorough modeling of the sensor signal generation and shaping is beyond the scope of this work.…”
Section: Testing Prospects With Simulationsmentioning
confidence: 99%
“…In order to validate the performance of the CRY-GEANT4-digitization simulation chain, we compared the χ 2 distribution of real and simulated tracks, finding a difference that will deserve further investigation. MURAVES) [18]. This work was partially supported by the EU Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement No.…”
Section: Discussionmentioning
confidence: 99%
“…Pasquale Noli and Nicola Mori for their previous work on the simulation of MU-RAY (precursor of MURAVES) [5]. Paolo Strolin provided useful feedback on an early draft of this paper.…”
Section: Discussionmentioning
confidence: 99%