Simulation for the search of dark matter with CRESST
Simulation for the search of dark matter with CRESST
DACH: Österreich - Deutschland - Schweiz
Disciplines
Computer Sciences (20%); Physics, Astronomy (80%)
Keywords
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Dark Matter,
Simulation,
Cryogenic Detectors
Over 80% of all matter in the universe is not visible, the so-called dark matter. This dark matter could be explained by introducing a new particle, which interacts weakly only with ordinary matter. However, to observe it, the interaction has to be stronger than the gravitational one. The predictions for the mass of this weakly interacting particle spans over several orders of magnitude. Recently, models with a mass range for dark matter particles between a few MeV and a few GeV have generated much interest. The CRESST experiment, which is currently being carried out at the Gran Sasso laboratory in Italy, is optimized for dark matter by searching for dark matter particles scattering with conventional matter. The energy of the scattering process is converted into lattice excitations of the detector crystal, the so-called phonons, and then read out with a sensor at the transition temperature. With the data collected so far by CRESST, no signal has been observed, however, the exclusion limits for dark matter candidates with a mass of less than 2 GeV are the best limit among the experiments for the direct search for dark matter. In the first funding period, the detection threshold for the recoil energy could be lowered down to 30 eV, an improvement of an order of magnitude compared to previous CRESST detectors and one of the lowest thresholds of all experiments. At recoil energies below 200 eV, however, the event rate rises sharply, and the origin of these energy deposits is not yet understood. Studies to identify these energy deposits are a central part of the project. These studies are based on detailed simulations studies and the analysis of experimental data. In addition to decoding this unknown background, different detector materials for the crystals, e.g., sapphire, are to be used in addition to the previously used detector material, calcium tungstate. These crystals and their properties must also be simulated to make full use of the data.
- Federica Petricca, Max Planck-Institut München - Germany
- Stefan Schönert, Technische Universität München - Germany
Research Output
- 35 Citations
- 12 Publications
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2023
Title Latest observations on the low energy excess in CRESST-III DOI 10.21468/scipostphysproc.12.013 Type Journal Article Author Angloher G Journal SciPost Physics Proceedings Pages 013 Link Publication -
2022
Title Results on sub-GeV Dark Matter from a 10 eV Threshold CRESST-III Silicon Detector DOI 10.48550/arxiv.2212.12513 Type Other Author Angloher G -
2023
Title Observation of a low energy nuclear recoil peak in the neutron calibration data of the CRESST-III Experiment DOI 10.48550/arxiv.2303.15315 Type Other Author Angloher G -
2023
Title High-Dimensional Bayesian Likelihood Normalisation for CRESST's Background Model DOI 10.48550/arxiv.2307.12991 Type Preprint Author Angloher G -
2022
Title EXCESS workshop: Descriptions of rising low-energy spectra DOI 10.5167/uzh-225638 Type Other Author Adari -
2022
Title EXCESS workshop: Descriptions of rising low-energy spectra DOI 10.48550/arxiv.2202.05097 Type Other Author Adari P -
2022
Title Testing spin-dependent dark matter interactions with lithium aluminate targets in CRESST-III DOI 10.48550/arxiv.2207.07640 Type Other Author Angloher G -
2022
Title Latest observations on the low energy excess in CRESST-III DOI 10.48550/arxiv.2207.09375 Type Other Author Angloher G -
2022
Title Secular Equilibrium Assessment in a $\mathrm{CaWO}_4$ Target Crystal from the Dark Matter Experiment CRESST using Bayesian Likelihood Normalisation DOI 10.48550/arxiv.2209.00461 Type Other Author Angloher G -
2022
Title Towards an automated data cleaning with deep learning in CRESST DOI 10.48550/arxiv.2211.00564 Type Other Author Angloher G -
2022
Title EXCESS workshop: Descriptions of rising low-energy spectra DOI 10.21468/scipostphysproc.9.001 Type Journal Article Author Adari P Journal SciPost Physics Proceedings Pages 001 Link Publication -
2023
Title Secular equilibrium assessment in a CaWO4 target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisation DOI 10.1016/j.apradiso.2023.110670 Type Journal Article Author Angloher G Journal Applied Radiation and Isotopes Pages 110670 Link Publication