Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters

Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters

Abstract CUORE Upgrade with Particle IDentification (CUPID) is a foreseen ton-scale array of Li2MoO4 (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 neutrinole...

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Bibliographic Details
Main Authors: Fantini, G., Armatol, A., Armengaud, E., Armstrong, W., Augier, C., Avignone, F. T., Azzolini, O., Barabash, A., Bari, G., Barresi, A., Baudin, D., Bellini, F., Benato, G.
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: Springer US 2022
Online Access:https://hdl.handle.net/1721.1/142851

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https://hdl.handle.net/1721.1/142851

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