Supervised learning of photoelectron counting in scintillator-based dark matter experiments
Kolahal Bhattacharya
Christopher Jackson
Abstract
We present a supervised learning method to perform photoelectron counting in PMT- based dark matter search experiments and show that it is possible to achieve better accuracy and precision compared to standard Bayesian statistics methods.
Published: September 2, 2020
Citation
Bhattacharya K., and C.M. Jackson. 2020."Supervised learning of photoelectron counting in scintillator-based dark matter experiments." In Proceedings of the Meeting of the Division of Particles and Fields of the American Physical Society (DPF2019), July 29-August 2, 2019, Boston, MA, edited by L. Skinnari. Menlo Park, California:Stanford Linear Accelerator Center.PNNL-SA-147874.