A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

Abstract 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 $$_4$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mn>4</mml:mn> <mml:mrow/> </mml:mmultiscripts> </mml:math> -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 $$_4$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mn>4</mml:mn> <mml:mrow/> </mml:mmultiscripts> </mml:math> -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.

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Publication Details

Journal
The European Physical Journal C
Published
2024-09-12
DOI
https://doi.org/10.1140/epjc/s10052-024-13141-6
Citations
1
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.66

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article

A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

J. Rothe, P. Gorla, P. Povinec, L. Pattavina et al.
1 citations
The European Physical Journal C
Dark Matter and Cosmic Phenomena
0.66
article

A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

J. Rothe, P. Gorla, P. Povinec, L. Pattavina, V. Mokina, V. Zema, G. Angloher, M. Kaznacheeva, K. Schäffner, A. D’Addabbo, C. Pagliarone, L. Einfalt, D. Schmiedmayer, A. Kinast, A. Langenkämper, S. Schönert, C. Bucci, S. Di Lorenzo, F. Wagner, D. Hauff, R. Breier, F. Petricca, J. Burkhart, C. Strandhagen, A. Erb, G. Benato, P. V. Guillaumon, A. Garai, A. Bertolini, H. Kluck, F. Pröbst, L. Canonica, A. Bento, M. Mancuso, M. Stahlberg, L. Stodolsky, I. Usherov, S. Fichtinger, D. Fuchs, V. M. Ghete, F. Reindl, Du Toit Strauss, M. Ješkovský, S. Banik, J. Schieck, B. Mauri, W. Potzel, S. Kuckuk, L. Marini, J. Jochum, V. Wagner, H. Kraus, F. von Feilitzsch, S. Gupta, M. Olmi, T. Ortmann, F. Pucci, C. Schwertner, L. Meyer
article en
1 citations

Abstract

Abstract 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 $$_4$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mn>4</mml:mn> <mml:mrow/> </mml:mmultiscripts> </mml:math> -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 $$_4$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mn>4</mml:mn> <mml:mrow/> </mml:mmultiscripts> </mml:math> -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.

The European Physical Journal CVol. 84(9)
TU Wien (AT), Universidade de São Paulo (BR), Università degli studi di Cassino e del Lazio Meridionale (IT), Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran Sasso (IT), ETH Zurich (CH), University of Oxford (GB), Max Planck Institute for Physics (DE), Institute of High Energy Physics (AT), Gran Sasso Science Institute (IT), Bavarian Center for Applied Energy Research (DE), Technical University of Munich (DE), University of Milano-Bicocca (IT), Comenius University Bratislava (SK), University of Coimbra (PT), University of Tübingen (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Austrian Science Fund, Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 14%
Dark Matter and Cosmic Phenomena
0.66
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