Accès ouvert déclaré
2023
preprint
An integrated online radioassay data storage and analytics tool for nEXO
R. Tsang, A. Piepke, S. Al Kharusi, E. Angelico, I. J. Arnquist, A Atencio, I. Badhrees, J. Bane, V. Belov, E. P. Bernard, A. Bhat, T. Bhatta, A. Bolotnikov, P. A. Breur, J. Brodsky, E. Brown, T. Brunner, E. Caden, G. F. Cao, Lucui Cao, D. Cesmecioglu, C. Chambers, E. Chambers, B. Chana, Serge A. Charlebois, D. Chernyak, Marco Spencer Chiu, B. Cleveland, J. R. Cohen, R. Collister, M. Cvitan, J. Dalmasson, L. Darroch, K. Deslandes, R. DeVoe, M. L. di Vacri, Y. Y. Ding, M. J. Dolinski, J. Echevers, B. Eckert, M. Elbeltagi, R. Elmansali, L. Fabris, W. Fairbank, J. Farine, Yujian Fu, D. Gallacher, G. Gallina, P. Gautam, G. Giacomini, W. Gillis, C. Gingras, D. Goeldi, R. Gornea, G. Gratta, Y. D. Guan, C. A. Hardy, S. Hedges, M. Heffner, E. Hein, J. Holt, E. W. Hoppe, A. House, W. Hunt, A. Iverson, Aifaa Mohd Jamil, X. S. Jiang, A. Karelin, L. J. Kaufman, I. Kotov, R. Krücken, A. Kuchenkov, K. S. Kumar, A. Larson, K. G. Leach, B. G. Lenardo, D. S. Leonard, G. Li, Simeng Li, Zhihang Li, C. Licciardi, R. Lindsay, R. MacLellan, M. Mahtab, S. Majidi, C. Malbrunot, P. Martel-Dion, J. Masbou, N. Massacret, K. McMichael, B. Mong, D. C. Moore, K. Murray, J. Nattress, C. R. Natzke, X. E. Ngwadla, K. Ni, A. Nolan, S. C. Nowicki, J. C. Nzobadila Ondze, J. L. Orrell, G.S Ortega, C.T Overman, H. Peltz-Smalley, A. Perna, T. Pinto Franco, A. Pocar, J. -F. Pratte, V. Radeka, E. Raguzin, H. Rasiwala, D. Ray, B. Rebeiro, S. Rescia, F. Retière, G. Richardson, J. Ringuette, V. Riot, P. C. Rowson, N. Roy, L. Rudolph, R. Saldanha, S. Sangiorgio, S. Schwartz, J Soderstrom, Anuraag Soma, F. Spadoni, V. Stekhanov, X. L. Sun, E. Teimoori Barakoohi, S. Thibado, A. Tidball, T. Totev, S. Triambak, T. Tsang, O.A Tyuka, R. Underwood, E. van Bruggen, Veerabhadra Madurai Veeraraghavan, M. Vidal, S. Viel, M. Walent, K. Wamba, Q. D. Wang, W. Wang, Y. G. Wang, M. Watts, W. Wei, Liangjian Wen, U. Wichoski, S. Wilde, M. Worcester, Shanshan Wu, Xiaobo Wu, H. Yang, L. Yang, M. Yvaine, O. Zeldovich, J. Y. Zhao, T. Ziegler
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Le résumé fourni par la source
Large-scale low-background detectors are increasingly used in rare-event searches as experimental collaborations push for enhanced sensitivity. However, building such detectors, in practice, creates an abundance of radioassay data especially during the conceptual phase of an experiment when hundreds of materials are screened for radiopurity. A tool is needed to manage and make use of the radioassay screening data to quantitatively assess detector design options. We have developed a Materials Database Application for the nEXO experiment to serve this purpose. This paper describes this database, explains how it functions, and discusses how it streamlines the design of the experiment.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
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Les sujets associés
Radioactive contamination and transferRadiation Detection and Scintillator TechnologiesRadioactive element chemistry and processing