Prospects for Dark Matter signal discovery and model selection via timing information in a low-threshold experiment
Riccardo Catena, Vanessa Zema

TL;DR
This study evaluates how timing information in low-threshold dark matter detectors influences the discovery potential and model discrimination, finding it marginally improves detection but significantly aids model selection.
Contribution
It introduces an analysis of timing information's impact on dark matter detection and model discrimination in low-threshold experiments, focusing on CRESST-like setups.
Findings
Timing information marginally improves dark matter discovery potential.
Timing information significantly enhances model discrimination between SI and MD interactions.
A 90% confidence level rejection of SI interactions is feasible with an upgraded CRESST detector.
Abstract
In the recent years, many low-threshold dark matter (DM) direct detection experiments have reported the observation of unexplained excesses of events at low energies. Exemplary for these, the experiment CRESST has detected unidentified events below an energy of about 200 eV - a result hampering the detector performance in the search for GeV-scale DM. In this work, we test the impact of nuclear recoil timing information on the potential for DM signal discovery and model selection on a low-threshold experiment limited by the presence of an unidentified background resembling this population of low-energy events. Among the different targets explored by the CRESST collaboration, here we focus on Al2O3, as a sapphire detector was shown to reach an energy threshold as low as 19.7 eV [1]. We test the ability of a low-threshold experiment to discover a signal above a given background, or to…
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