Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 62: Search for Dark Matter III

T 62.7: Vortrag

Mittwoch, 2. April 2025, 17:45–18:00, VG 4.102

Enhancing Simulation Statistics through Importance Biasing for the CRESST Experiment — •Praveen Murali for the CRESST collaboration — Heidelberg University

The CRESST (Cryogenic Rare Event Search with Superconducting Thermometers) experiment is a pioneering project in the search for dark matter, employing ultra-sensitive cryogenic detectors to capture rare particle interactions. These rare events demand highly efficient and accurate simulations to optimize detector performance and data analysis. Importance biasing is a technique that boosts statistical accuracy without requiring extensive repetitions, offering a solution to this challenge. In this work, we apply GEANT4's Importance Biasing to CRESST simulations, demonstrating its successful implementation and impact on improving statistical outcomes. This presentation will detail the methodology and the results of this approach for CRESST.

Keywords: Light Dark Matter; Cryogenic Superconducting Thermometer; Bias Layers