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Detector signal characterization with a Bayesian network in XENONnT

Abstract

We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment, which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of 5.9 ton. During the (1.09±0.03)  ton yr exposure used for this search, the intrinsic 85Kr and 222Rn concentrations in the liquid target are reduced to unprecedentedly low levels, giving an electronic recoil background rate of (15.8±1.3)  events/ton yr keV in the region of interest. A blind analysis of nuclear recoil events with energies between 3.3 and 60.5 keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of 2.58×10−47  cm2 for a WIMP mass of 28  GeV/c2 at 90% confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure.

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 > Nuclear and High Energy Physics
Language:English
Date:26 July 2023
Deposited On:22 Dec 2023 11:36
Last Modified:27 Dec 2024 04:41
Publisher:American Physical Society
ISSN:2470-0010
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1103/physrevd.108.012016
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  • Funder: National Science Foundation
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  • Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
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  • Funder: Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie
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  • Funder: Max-Planck-Gesellschaft
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  • Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek
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  • Funder: Weizmann Institute of Science
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  • Funder: Israel Science Foundation
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  • Funder: United States-Israel Binational Science Foundation
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  • Funder: Fundação para a Ciência e a Tecnologia
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  • Funder: Conseil Régional des Pays de la Loire
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  • Funder: Knut och Alice Wallenbergs Stiftelse
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  • Funder: Kavli Foundation
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  • Funder: Japan Society for the Promotion of Science
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  • Funder: Japan Science and Technology Agency
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  • Funder: Tsinghua University
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  • Funder: Istituto Nazionale di Fisica Nucleare Sezione di Padova
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  • Funder: Horizon 2020 Framework Programme
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  • Funder: Laboratori Nazionali del Gran Sasso
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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