https://doi.org/10.1140/epjc/s10052-024-13141-6
Regular Article - Experimental Physics
A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search
1
Max-Planck-Institut für Physik, 85748, Garching, Germany
2
Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, 1050, Wien, Austria
3
Atominstitut, Technische Universität Wien, 1020, Wien, Austria
4
INFN, Laboratori Nazionali del Gran Sasso, 67100, Assergi, Italy
5
Comenius University, Faculty of Mathematics, Physics and Informatics, 84248, Bratislava, Slovakia
6
Physik-Department, TUM School of Natural Sciences, Technische Universität München, 85747, Garching, Germany
7
Eberhard-Karls-Universität Tübingen, 72076, Tübingen, Germany
8
Department of Physics, University of Oxford, OX1 3RH, Oxford, UK
9
LIBPhys-UC, Departamento de Fisica, Universidade de Coimbra, 3004 516, Coimbra, Portugal
10
Walther-Meißner-Institut für Tieftemperaturforschung, 85748, Garching, Germany
11
GSSI-Gran Sasso Science Institute, 67100, L’Aquila, Italy
12
Dipartimento di Ingegneria Civile e Meccanica, Universit‘a degli Studi di Cassino e del Lazio Meridionale, 03043, Cassino, Italy
13
Dipartimento di Fisica, Università di Milano Bicocca, 20126, Milan, Italy
14
Instituto de Física, Universidade de S.ao Paulo, 05508-090, Sao Paulo, Brazil
15
Present address: Department of Physics, ETH Zurich, 8093, Zurich, Switzerland
16
Present address: ETH Zurich-PSI Quantum Computing Hub, Paul Scherrer Institute, 5232, Villigen, Switzerland
az
florian.reindl@tuwien.ac.at
bd
daniel.schmiedmayer@tuwien.ac.at
Received:
22
March
2024
Accepted:
11
July
2024
Published online:
12
September
2024
Cryogenic scintillating calorimeters are ultra- sensitive particle detectors for rare event searches, particularly for the search for dark matter and the measurement of neutrino properties. These detectors are made from scintillating target crystals generating two signals for each particle interaction. The phonon (heat) signal precisely measures the deposited energy independent of the type of interacting particle. The scintillation light signal yields particle discrimination on an event-by-event basis. This paper presents a likelihood framework modeling backgrounds and a potential dark matter signal in the two-dimensional plane spanned by phonon and scintillation light energies. We apply the framework to data from CaWO
-based detectors operated in the CRESST dark matter search. For the first time, a single likelihood framework is used in CRESST to model the data and extract results on dark matter in one step by using a profile likelihood ratio test. Our framework simultaneously fits (neutron) calibration data and physics (background) data and allows combining data from multiple detectors. Although tailored to CaWO-targets and the CRESST experiment, the framework can easily be expanded to other materials and experiments using scintillating cryogenic calorimeters for dark matter search and neutrino physics.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjc/s10052-024-13141-6.
© The Author(s) 2024
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Funded by SCOAP3.
