English

ImpCresst -- A versatile simulation tool focusing on solid-state detectors at keV energies

Instrumentation and Detectors 2026-03-03 v1 Instrumentation and Methods for Astrophysics High Energy Physics - Experiment

Abstract

We present ImpCresst, a Geant4-based Monte Carlo tool to simulate backgrounds from natural and cosmogenic radionuclides, and calibration signals in solid-state detectors and their response to it. It is tuned for a fast-evolving and heterogeneous detector environment with a focus on physics at the keV range. This tool was originally developed and validated by the CRESST collaboration; however, its flexibility and configurability make it suitable for other experiments with similar requirements. Key features of ImpCresst include the dynamic geometry implementation directly from CAD files, ROOT-based data persistency of the whole event topology and automatic metadata annotation for data provenance, and interfaces to various particle generators, particularly for radiogenic and cosmogenic radionuclides. It includes also a newly developed particle generator for radioactive bulk and surface contaminations which is completely independent of any user defined confinement volumes. The auxiliary tool CresstDS applies detector-specific energy and time resolution based on a user-provided data set of empirical parameterization. We discuss also how to manage an ImpCresst based workflow in an HPC environment based on Apptainer and nextflow.

Keywords

Cite

@article{arxiv.2603.01770,
  title  = {ImpCresst -- A versatile simulation tool focusing on solid-state detectors at keV energies},
  author = {G. Angloher and S. Banik and A. Bento and A. Bertolini and R. Breier and C. Bucci and J. Burkhart and L. Burmeister and L. Canonica and F. Casadei and E. Cipelli and S. Di Lorenzo and J. Dohm and F. Dominsky and A. Erb and E. Fascione and F. von Feilitzsch and S. Fichtinger and D. Fuchs and A. Fuss and V. M. Ghete and P. Gorla and P. V. Guillaumon and D. Hauff and M. Ješkovský and J. Jochum and M. Kaznacheeva and H. Kluck and H. Kraus and B. von Krosigk and A. Langenkämper and M. Mancuso and B. Mauri and V. Mokina and C. Moore and P. Murali and M. Olmi and T. Ortmann and C. Pagliarone and L. Pattavina and F. Petricca and W. Potzel and P. Povinec and F. Pröbst and F. Pucci and F. Reindl and J. Rothe and K. Schäffner and J. Schieck and S. Schönert and C. Schwertner and M. Stahlberg and L. Stodolsky and C. Strandhagen and R. Strauss and F. Toschi and I. Usherov and D. Valdenaire and M. Zanirato and V. Zema},
  journal= {arXiv preprint arXiv:2603.01770},
  year   = {2026}
}
R2 v1 2026-07-01T10:59:04.020Z