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Liquid argon light collection and veto modeling in GERDA Phase II

Abstract

The ability to detect liquid argon scintillation light from within a densely packed high-purity germanium detector array allowed the Gerda experiment to reach an exceptionally low background rate in the search for neutrinoless double beta decay of $${}^{76}$$Ge. Proper modeling of the light propagation throughout the experimental setup, from any origin in the liquid argon volume to its eventual detection by the novel light read-out system, provides insight into the rejection capability and is a necessary ingredient to obtain robust background predictions. In this paper, we present a model of the Gerda liquid argon veto, as obtained by Monte Carlo simulations and constrained by calibration data, and highlight its application for background decomposition.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Physics Institute
Dewey Decimal Classification:530 Physics
Scopus Subject Areas:Physical Sciences > Engineering (miscellaneous)
Physical Sciences > Physics and Astronomy (miscellaneous)
Uncontrolled Keywords:Physics and Astronomy (miscellaneous), Engineering (miscellaneous)
Language:English
Date:24 April 2023
Deposited On:22 Dec 2023 12:06
Last Modified:26 Feb 2025 02:44
Publisher:Springer
ISSN:1434-6044
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1140/epjc/s10052-023-11354-9
PubMed ID:37122826
Project Information:
  • Funder: Instituto Nazionale di Fisica Nucleare
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  • Funder: Narodowe Centrum Nauki
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  • Funder: Deutsche Forschungsgemeinschaft
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  • Funder: H2020
  • Grant ID: 674896
  • Project Title: ELUSIVES - The Elusives Enterprise: Asymmetries of the Invisible Universe
  • Funder: H2020
  • Grant ID: 690575
  • Project Title: InvisiblesPlus - InvisiblesPlus
  • Funder: Russian Foundation for Basic Research
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  • Funder: Max-Planck-Gesellschaft
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  • Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
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  • Funder: Bundesministerium für Bildung und Forschung
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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