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SUMMARY:Y. Pan - Light Dark Matter Search in XENONnT Experiment
DTSTART:20260319T130000Z
DTEND:20260319T150000Z
DTSTAMP:20260506T003700Z
UID:indico-event-51420@agenda.infn.it
CONTACT:info-seminars@lngs.infn.it
DESCRIPTION:Speakers: Izabela Anna Kochanek (Istituto Nazionale di Fisica 
 Nucleare)\, Nicola Rossi (Istituto Nazionale di Fisica Nucleare)\, Dounia 
 Helis (Istituto Nazionale di Fisica Nucleare)\, Valerio D'Andrea (Istituto
  Nazionale di Fisica Nucleare)\n\nThe XENONnT experiment\, located at the 
 INFN Laboratori Nazionali del Gran Sasso\, is a multi-tonne dual-phase xen
 on time projection chamber designed primarily for the direct detection of 
 WIMPs. While standard searches require both scintillation (S1) and ionizat
 ion (S2) signals\, an ionization-only (S2-only) analysis significantly low
 ers the energy threshold\, extending sensitivity to sub-GeV dark matter (D
 M) and other light DM candidates. This talk presents the latest results of
  a blinded search for light DM using S2-only data with a total exposure of
  7.83 tonne-year. The first complete and generalizable S2-only background 
 model for XENONnT is developed and validated. Dedicated background suppres
 sion techniques\, including machine learning\, mitigate instrumental backg
 rounds such as cathode radioactivity and delayed electrons. We report new 
 limits on spin-independent DM-nucleon scattering for masses between 3 and 
 8 GeV/c2\, excluding cross sections above 6.0 × 10-45 cm2 at a mass of 5 
 GeV/c2. Furthermore\, we provide world-leading constraints on DM-electron 
 scattering\, axion-like particles\, and dark photons. These results also p
 ush the sensitivity of liquid xenon detectors closer to the irreducible so
 lar neutrino fog.------------\nYongyu Pan\nLaboratoire de physique nucléa
 ire et des hautes énergies (LPNHE)Paris\, France\n \n \n \n \nIMPORTA
 NT: registration is mandatory for people without a valid LNGS badge.  \n
 \nhttps://agenda.infn.it/event/51420/
LOCATION:Room B. Pontecorvo (LNGS)
URL:https://agenda.infn.it/event/51420/
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