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Title: Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters
Abstract CUORE Upgrade with Particle IDentification (CUPID) is a foreseen ton-scale array of Li 2 MoO 4 (LMO) cryogenic calorimeters with double readout of heat and light signals. Its scientific goal is to fully explore the inverted hierarchy of neutrino masses in the search for neutrinoless double beta decay of 100 Mo. Pile-up of standard double beta decay of the candidate isotope is a relevant background. We generate pile-up heat events via injection of Joule heater pulses with a programmable waveform generator in a small array of LMO crystals operated underground in the Laboratori Nazionali del Gran Sasso, Italy. This allows to label pile-up pulses and control both time difference and underlying amplitudes of individual heat pulses in the data. We present the performance of supervised learning classifiers on data and the attained pile-up rejection efficiency.  more » « less
Award ID(s):
2209585
NSF-PAR ID:
10427833
Author(s) / Creator(s):
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Date Published:
Journal Name:
Journal of Low Temperature Physics
Volume:
209
Issue:
5-6
ISSN:
0022-2291
Page Range / eLocation ID:
1024 to 1031
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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