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Searches for Light Dark Matter with the CRESST-III Experiment

  • The CRESST Collaboration
  • Max-Planck-Institut für Physik
  • Comenius University
  • Coimbra University Pó lo II
  • Laboratori Nazionali del Gran Sasso
  • Gran Sasso Science Institute
  • Cluster of Excellence E-conversion
  • Walther-Meissner-Institut
  • Center for Molecular Medicine of the Austrian Academy of Sciences
  • Technical University of Vienna
  • University of Tübingen
  • University of Oxford
  • Università di Cassino
  • Chalmers University of Technology

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Cryogenic Rare Event Search with Superconducting Thermometers (CRESST) is a long-standing direct dark matter detection experiment with cryogenic detectors located at the underground facility Laboratori Nazionali del Gran Sasso in Italy. CRESST-III, the third generation of CRESST, was specifically designed to have a world-leading sensitivity for low-mass dark matter (DM) (less than 2 GeV/c 2) to probe the spin-independent DM-nucleus cross section. At present, a large part of the parameter space for spin-independent scattering off nuclei remains untested for dark matter particles with masses below few GeV/c 2 although many motivated theoretical models having been proposed. The CRESST-III experiment employs scintillating CaWO 4 crystals of ∼ 25 g as target material for dark matter interactions operated as cryogenic scintillating calorimeters at ∼ 10 mK. CRESST-III first data taking was successfully completed in 2018, achieving an unprecedented energy threshold for nuclear recoils. This result extended the present sensitivity to DM particles as light as ∼ 160 MeV/c 2. In this paper, an overview of the CRESST-III detectors and results will be presented.

Original languageEnglish
Pages (from-to)547-555
Number of pages9
JournalJournal of Low Temperature Physics
Volume199
Issue number1-2
DOIs
StatePublished - 1 Apr 2020
Externally publishedYes

Keywords

  • Cryogenic detectors
  • Dark matter
  • Particle identification
  • Rare event searches

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