XENONnT WIMP search: signal and background modeling and statistical inference

The XENONnT experiment searches for weakly interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-ton liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energ...

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Bibliographische Detailangaben
Hauptverfasser: Aprile, Elena (VerfasserIn) , Lindner, Manfred (VerfasserIn) , Marrodán Undagoitia, Teresa (VerfasserIn) , Terliuk, Andrii (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 19 May, 2025
In: Physical review
Year: 2025, Jahrgang: 111, Heft: 10, Pages: 1-21
ISSN:2470-0029
DOI:10.1103/PhysRevD.111.103040
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1103/PhysRevD.111.103040
Verlag, kostenfrei, Volltext: https://link.aps.org/doi/10.1103/PhysRevD.111.103040
Volltext
Verfasserangaben:XENON Collaboration*

MARC

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520 |a The XENONnT experiment searches for weakly interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-ton liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energy, position, and type of recoil. A blind search for nuclear recoil WIMPs with an exposure of 1.1 ton-years (4.18 t fiducial mass) yielded no signal excess over background expectations, from which competitive exclusion limits were derived on WIMP-nucleon elastic scatter cross sections, for WIMP masses ranging from 6 GeV/2 up to the TeV/2 scale. This work details the modeling and statistical methods employed in this search. By means of calibration data, we model the detector response, which is then used to derive background and signal models. The construction and validation of these models is discussed, alongside additional purely data-driven backgrounds. We also describe the statistical inference framework, including the definition of the likelihood function and the construction of confidence intervals. 
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