Browsing by Author "Yang, J."

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    Optimization of the first CUPID detector module
    Alfonso, Krystal; Armatol, A.; Augier, C.; Avignone, F. T.; Azzolini, O.; Balata, M.; Barabash, A. S.; Bari, G.; Barresi, A.; Baudin, D.; Bellini, F.; Benato, G.; Beretta, M.; Bettelli, M.; Biassoni, M.; Billard, J.; Boldrini, V.; Branca, A.; Brofferio, C.; Bucci, C.; Camilleri, J.; Campani, A.; Capelli, C.; Capelli, S.; Cappelli, L.; Cardani, L.; Carniti, P.; Casali, N.; Celi, E.; Chang, C.; Chiesa, D.; Clemenza, M.; Colantoni, I.; Copello, S.; Craft, E.; Cremonesi, O.; Creswick, R. J.; Cruciani, A.; D’Addabbo, A.; D’Imperio, G.; Dabagov, S.; Dafinei, I.; Danevich, F. A.; De Jesus, M.; de Marcillac, P.; Dell’Oro, S.; Di Domizio, S.; Di Lorenzo, S.; Dixon, T.; Dompè, V.; Drobizhev, A.; Dumoulin, L.; Fantini, G.; Faverzani, M.; Ferri, E.; Ferri, F.; Ferroni, F.; Figueroa-Feliciano, E.; Foggetta, L.; Formaggio, J.; Franceschi, A.; Fu, C.; Fu, S.; Fujikawa, B. K.; Gallas, A.; Gascon, J.; Ghislandi, S.; Giachero, A.; Gianvecchio, A.; Gironi, L.; Giuliani, A.; Gorla, P.; Gotti, C.; Grant, C.; Gras, P.; Guillaumon, P. V.; Gutierrez, T. D.; Han, K.; Hansen, E. V.; Heeger, K. M.; Helis, D. L.; Huang, H. Z.; Imbert, L.; Johnston, J.; Juillard, A.; Karapetrov, G.; Keppel, G.; Khalife, H.; Kobychev, V. V.; Kolomensky, Yu. G.; Konovalov, S. I.; Kowalski, R.; Langford, T.; Lefevre, M.; Liu, R.; Liu, Y.; Loaiza, P.; Ma, L.; Madhukuttan, M.; Mancarella, F.; Marini, L.; Marnieros, S.; Martinez, M.; Maruyama, R. H.; Mas, Ph.; Mauri, B.; Mayer, D.; Mazzitelli, G.; Mei, Y.; Milana, S.; Morganti, S.; Napolitano, T.; Nastasi, M.; Nikkel, J.; Nisi, S.; Nones, C.; Norman, E. B.; Novosad, V.; Nutini, I.; O’Donnell, T.; Olivieri, E.; Olmi, M.; Ouellet, J. L.; Pagan, S.; Pagliarone, C.; Pagnanini, L.; Pattavina, L.; Pavan, M.; Peng, H.; Pessina, G.; Pettinacci, V.; Pira, C.; Pirro, S.; Poda, D. V.; Polischuk, O. G.; Ponce, I.; Pozzi, S.; Previtali, E.; Puiu, A.; Quitadamo, S.; Ressa, A.; Rizzoli, R.; Rosenfeld, C.; Rosier, P.; Scarpaci, J.; Schmidt, B.; Sharma, V.; Shlegel, V. N.; Singh, V.; Sisti, M.; Slocum, P.; Speller, D.; Surukuchi, P. T.; Taffarello, L.; Tomei, C.; Torres, J. A.; Tretyak, V. I.; Tsymbaliuk, A.; Velazquez, M.; Vetter, K. J.; Wagaarachchi, S. L.; Wang, G.; Wang, L.; Wang, R.; Welliver, B.; Wilson, J.; Wilson, K.; Winslow, L. A.; Xue, M.; Yan, L.; Yang, J.; Yefremenko, V.; Umatov, V. I.; Zarytskyy, M. M.; Zhang, J.; Zolotarova, A.; Zucchelli, S. (2022-09-12)
    CUPID will be a next generation experiment searching for the neutrinoless double 𝛽 decay, whose discovery would establish the Majorana nature of the neutrino. Based on the experience achieved with the CUORE experiment, presently taking data at LNGS, CUPID aims to reach a background free environment by means of scintillating Li2 100MoO4 crystals coupled to light detectors. Indeed, the simultaneous heat and light detection allows us to reject the dominant background of 𝛼 particles, as proven by the CUPID-0 and CUPID-Mo demonstrators. In this work we present the results of the first test of the CUPID baseline module. In particular, we propose a new optimized detector structure and light sensors design to enhance the engineering and the light collection, respectively. We characterized the heat detectors, achieving an energy resolution of (5.9 ± 0.2) keV FWHM at the Q-value of 100Mo (about 3034 keV). We studied the light collection of the baseline CUPID design with respect to an alternative configuration which features gravity-assisted light detectors’ mounting. In both cases we obtained an improvement in the light collection with respect to past measures and we validated the particle identification capability of the detector, which ensures an 𝛼 particle rejection higher than 99.9%, fully satisfying the requirements for CUPID.
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    Understanding Optimal Decision-making in Wargaming
    Nesbitt, P.; Kennedy, Q.; Alt, J. K.; Fricker, Ronald D. Jr.; Whitaker, L.; Yang, J.; Appleget, J. A.; Huston, J.; Patton, S. (Naval Postgraduate School, 2013-10)
    This research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; i.e., the transition from exploring the environment to exploiting the environment. We describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility.