A next-generation liquid xenon observatory for dark matter and neutrino physics
J.Phys.G 50 (2023) 1, 013001
Abstract:
The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for weakly interacting massive particles, while featuring extensive sensitivity to many alternative dark matter candidates. These detectors can also study neutrinos through neutrinoless double-beta decay and through a variety of astrophysical sources. A next-generation xenon-based detector will therefore be a true multi-purpose observatory to significantly advance particle physics, nuclear physics, astrophysics, solar physics, and cosmology. This review article presents the science cases for such a detector.
Improving the Quality of CaWO4 Target Crystals for CRESST
Journal of Low Temperature Physics Springer Nature 209:5-6 (2022) 1128-1134
Background Determination for the LUX-ZEPLIN (LZ) Dark Matter Experiment
(2022)
Testing spin-dependent dark matter interactions with lithium aluminate targets in CRESST-III
Physical Review D American Physical Society 106:9 (2022) 92008
Abstract:
In the past decades, numerous experiments have emerged to unveil the nature of dark matter, one of the most discussed open questions in modern particle physics. Among them, the Cryogenic Rare Event Search with Superconducting Thermometers (CRESST) experiment, located at the Laboratori Nazionali del Gran Sasso, operates scintillating crystals as cryogenic phonon detectors. In this work, we present first results from the operation of two detector modules which both have 10.46 g LiAlO2 targets in CRESST-III. The lithium contents in the crystal are Li6, with an odd number of protons and neutrons, and Li7, with an odd number of protons. By considering both isotopes of lithium and Al27, we set the currently strongest cross section upper limits on spin-dependent interaction of dark matter with protons and neutrons for the mass region between 0.25 and 1.5 GeV/c2.Fast and flexible analysis of direct dark matter search data with machine learning
Physical Review D American Physical Society (APS) 106:7 (2022) 072009