PoS - Proceedings of Science
Volume 441 - XVIII International Conference on Topics in Astroparticle and Underground Physics (TAUP2023) - Dark Matter and its Detection
Geant4 simulations of the influence of contamination and roughness of the detector surface on background spectra in CRESST
C. Grüner*, G. Angloher, S. Banik, G. Benato, A. Bento, A. Bertolini, R. Breier, C. Bucci, J. Burkhart, L. Canonica, A. D'Addabbo, S. Di Lorenzo, L. Einfalt, A. Erb, F. v. Feilitzsch, S. Fichtinger, D. Fuchs, A. Garai, V.M. Ghete, P. Gorla, P.V. Guillaumon, S.K. Gupta, D. Hauff, M. Ješkovský, J. Jochum, M. Kaznacheeva, A. Kinast, H. Kluck, H. Kraus, S. Kuckuk, A. Langenkämper, M. Mancuso, L. Marini, B. Mauri, L. Meyer, V. Mokina, M. Olmi, T. Ortmann, C.E. Pagliarone, L. Pattavina, F. Petricca, W. Potzel, P. Povinec, F. Pröbst, F. Pucci, F. Reindl, J. Rothe, K. Schäffner, J. Schieck, S. Schönert, C. Schwertner, M. Stahlberg, L. Stodolsky, C. Strandhagen, R. Strauss, I. Usherov, F. Wagner, M. Willers and V. Zemaet al. (click to show)
Full text: pdf
Pre-published on: February 15, 2024
Published on: March 22, 2024
Abstract
CRESST is an experiment for the direct detection of dark matter, capable of detecting nuclear
recoils down to 10 eV, which results in an impressive sensitivity for sub-GeV dark matter particles.
For a better understanding of the measured background a background model is developed. The
background components are considered via Geant4 simulations. At the current state, the CRESST
background model only considers bulk contaminations and treats all detector surfaces as perfect
plains.
This contribution presents potential effects of a surface contamination with radiogenic nuclides, in
combination with the influence of the crystals surface roughness. Nuclide decays near the crystal
surface may lead to partial energy deposition inside the detector, potentially causing MeV energy
events to influence the background in the keV energy range. Since default Geant4 is not capable
of simulating a rough surface, a new extension for simulating a rough surface is developed and the
impact of different roughness configurations is studied.
DOI: https://doi.org/10.22323/1.441.0092
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