1 research outputs found
Monte Carlo Simulation Variance Reduction Techniques for Photon Transport in Liquid Xenon Detectors
Monte Carlo simulations are a crucial tool for the analysis and prediction of
various background components in liquid xenon (LXe) detectors. With improving
shielding in new experiments, the simulation of external backgrounds, such as
induced by gamma rays from detector materials, gets more computationally
expensive. We introduce and validate an accelerated Monte Carlo simulation
technique for photon transport in liquid xenon detectors. The method simulates
photon-induced interactions within a defined geometry and energy range with
high statistics while interactions outside of the region of interest are not
simulated directly but are taken into account by means of probability weights.
For a simulation of gamma induced backgrounds in an exemplary detector geometry
we achieve a three orders of magnitude acceleration compared to a standard
simulation of a current ton-scale LXe dark matter experiment