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Waveform simulation for scintillation characteristics of NaI(Tl) crystal

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Title
Waveform simulation for scintillation characteristics of NaI(Tl) crystal
Author(s)
Choi, J.J.; Ha, C.; Eunju Jeon; Kyungwon Kim; Kim, S.K.; Yeongduk Kim; Young Ju Ko; Koh, B.C.; Hyun Su Lee; Seunghun Lee; Lee, S.M.; Byungju Park; Gyunho Yu
Publication Date
2024-08
Journal
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, v.1065
Publisher
Elsevier BV
Abstract
The lowering of the energy threshold in the NaI detector is crucial not only for comprehensive validation of DAMA/LIBRA but also for exploring new possibilities in the search for low-mass dark matter and observing coherent elastic scattering between neutrino and nucleus. Alongside hardware enhancements, extensive efforts have focused on refining event selection to discern noise, achieved through parameter development and the application of machine learning. Acquiring pure, unbiased datasets is crucial in this endeavor, for which a waveform simulation was developed. The simulation data were compared with the experimental data using several pulse shape discrimination parameters to test its performance in describing the experimental data. Additionally, we present the outcomes of multi-variable machine learning trained with simulation data as a scintillation signal sample. The distributions of outcomes for experimental and simulation data show a good agreement. As an application of the waveform simulation, we validate the trigger efficiency alongside estimations derived from the minimally biased measurement data. © 2024
URI
https://pr.ibs.re.kr/handle/8788114/15259
DOI
10.1016/j.nima.2024.169489
ISSN
0168-9002
Appears in Collections:
Center for Underground Physics(지하실험 연구단) > 1. Journal Papers (저널논문)
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