A Model on Heat Signal of Crystal Detector at Low Temperature
Jin Li, Inwook Kim

TL;DR
This paper introduces a Monte Carlo-based model for predicting heat signal shapes in low temperature crystal bolometers, aligning well with experimental data and aiding rare event particle detection.
Contribution
The paper develops a novel Monte Carlo model incorporating phonon processes to accurately simulate heat signals in low temperature crystal detectors.
Findings
Model accurately reproduces experimental heat signal shapes.
Incorporates phonon transmission, scattering, and reflection processes.
Applicable to dark matter and neutrino detection experiments.
Abstract
We present a model to calculate heat signal shapes from low temperature bolometer attached to a crystal. This model is based on the elementary acoustic wave theory at low temperature, and has been developed using modern Monte Carlo techniques. Physical processes in phonon propagation, such as transmission, scattering and reflection are considered. Using our model, the calculated time dependence of signal agrees with real experimental data. This model has applications in low temperature rare event particle detectors for dark matter and neutrinos.
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