- Main
Pulse shape discrimination in CUPID-Mo using principal component analysis
- Huang, R;
- Armengaud, E;
- Augier, C;
- Barabash, AS;
- Bellini, F;
- Benato, G;
- Beno t, A;
- Beretta, M;
- Bergé, L;
- Billard, J;
- Borovlev, YA;
- Bourgeois, C;
- Brudanin, VB;
- Camus, P;
- Cardani, L;
- Casali, N;
- Cazes, A;
- Chapellier, M;
- Charlieux, F;
- De Combarieu, M;
- Dafinei, I;
- Danevich, FA;
- De Jesus, M;
- Dixon, T;
- Dumoulin, L;
- Eitel, K;
- Ferri, F;
- Fujikawa, BK;
- Gascon, J;
- Gironi, L;
- Giuliani, A;
- Grigorieva, VD;
- Gros, M;
- Guerard, E;
- Helis, DL;
- Huang, HZ;
- Johnston, J;
- Juillard, A;
- Khalife, H;
- Kleifges, M;
- Kobychev, VV;
- Kolomensky, YG;
- Konovalov, SI;
- Loaiza, P;
- Ma, L;
- Makarov, EP;
- De Marcillac, P;
- Mariam, R;
- Marini, L;
- Marnieros, S;
- Misiak, D;
- Navick, XF;
- Nones, C;
- Norman, EB;
- Olivieri, E;
- Ouellet, JL;
- Pagnanini, L;
- Pari, P;
- Pattavina, L;
- Paul, B;
- Pavan, M;
- Peng, H;
- Pessina, G;
- Pirro, S;
- Poda, DV;
- Polischuk, OG;
- Previtali, E;
- Redon, T;
- Rozov, S;
- Rusconi, C;
- Sanglard, V;
- Scarpaci, JA;
- Sch ffner, K;
- Schmidt, B;
- Shen, Y;
- Shlegel, VN;
- Siebenborn, B;
- Singh, V;
- Tomei, C;
- Tretyak, VI;
- Umatov, VI;
- Vagneron, L;
- Velázquez, M;
- Weber, M;
- Welliver, B;
- Winslow, L;
- Xue, M;
- Yakushev, E;
- Zarytskyy, MM;
- Zolotarova, AS
- et al.
Published Web Location
https://doi.org/10.1088/1748-0221/16/03/P03032Abstract
CUPID-Mo is a cryogenic detector array designed to search for neutrinoless double-beta decay (0νββ) of 100Mo. It uses 20 scintillating 100Mo-enriched Li2MoO4 bolometers instrumented with Ge light detectors to perform active suppression of α backgrounds, drastically reducing the expected background in the 0νββ signal region. As a result, pileup events and small detector instabilities that mimic normal signals become non-negligible potential backgrounds. These types of events can in principle be eliminated based on their signal shapes, which are different from those of regular bolometric pulses. We show that a purely data-driven principal component analysis based approach is able to filter out these anomalous events, without the aid of detector response simulations.
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