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PreprintCC BY 4.0arXiv

remage: a Geant4-based simulation framework for low-background experiments

Abstract

Monte Carlo simulations are an essential tool for data modeling and experimental design in low-background physics. These simulations typically demand a considerable effort, with each collaboration developing and maintaining its own complex Geant4 application. In this paper we present the design and validation of remage, which is an open-source framework designed to standardize these simulations and significantly reduce this effort. Its design separates the geometry, built with dedicated Python tools, from the compiled application. It provides a physics list and event generators tuned to radiogenic and cosmogenic backgrounds, output tailored to the most common detector types, and robust validation backed by modern software development practices. The software is distributed ready to use and scales efficiently with the computing resources that demanding simulations require. remage has been primarily developed for the LEGEND experiment, but is applicable to a wide variety of experiments.

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BibTeX
@misc{dixon2026remage,
  title = {{remage: a Geant4-based simulation framework for low-background experiments}},
  author = {Toby Dixon and Eric Esch and Reyco Henning and Manuel Huber and Moritz Neuberger and Luigi Pertoldi and Zichen Wang},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.29655},
  eprint = {2610.29655},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.29655},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - remage: a Geant4-based simulation framework for low-background experiments
AU  - Toby Dixon
AU  - Eric Esch
AU  - Reyco Henning
AU  - Manuel Huber
AU  - Moritz Neuberger
AU  - Luigi Pertoldi
AU  - Zichen Wang
PY  - 2026
DA  - 2026/10/21
PB  - arXiv
DO  - 10.48550/arxiv.2610.29655
UR  - https://arxiv.org/abs/2610.29655
AB  - Monte Carlo simulations are an essential tool for data modeling and experimental design in low-background physics. These simulations typically demand a considerable effort, with each collaboration developing and maintaining its own complex Geant4 application. In this paper we present the design and validation of remage, which is an open-source framework designed to standardize these simulations and significantly reduce this effort. Its design separates the geometry, built with dedicated Python tools, from the compiled application. It provides a physics list and event generators tuned to radiogenic and cosmogenic backgrounds, output tailored to the most common detector types, and robust validation backed by modern software development practices. The software is distributed ready to use and scales efficiently with the computing resources that demanding simulations require. remage has been primarily developed for the LEGEND experiment, but is applicable to a wide variety of experiments.
ER  -