Tsang RH, Piepke A, Al Kharusi S, Angelico E, Arnquist IJ, Atencio A, Badhrees I, Bane J, Belov V, Bernard EP, Bhat A, Bhatta T, Bolotnikov A, Breur PA, Brodsky JP, Brown E, Brunner T, Caden E, Cao GF, Cao LQ, Cesmecioglu D, Chambers C, Chambers E, Chana B, Charlebois SA, Chernyak D, Chiu M, Cleveland B, Cohen JR, Collister R, Cvitan M, Dalmasson J, Darroch L, Deslandes K, DeVoe R, di Vacri ML, Ding YY, Dolinski MJ, Echevers J, Eckert B, Elbeltagi M, Elmansali R, Fabris L, Fairbank W, Farine J, Fu YS, Gallacher D, Gallina G, Gautam P, Giacomini G, Gillis W, Gingras C, Goeldi D, Gornea R, Gratta G, Guan YD, Hardy CA, Hedges S, Heffner M, Hein E, Holt J, Hoppe EW, House A, Hunt W, Iverson A, Jamil A, Jiang XS, Karelin A, Kaufman LJ, Kotov I, Krücken R, Kuchenkov A, Kumar KS, Larson A, Leach KG, Lenardo BG, Leonard DS, Li G, Li S, Li Z, Licciardi C, Lindsay R, MacLellan R, Mahtab M, Majidi S, Malbrunot C, Martel-Dion P, Masbou J, Massacret N, McMichael K, Mong B, Moore DC, Murray K, Nattress J, Natzke CR, Ngwadla XE, Ni K, Nolan A, Nowicki SC, Nzobadila Ondze JC, Orrell JL, Ortega GS, Overman CT, Peltz-Smalley H, Perna A, Pinto Franco T, Pocar A, Pratte JF, Radeka V, Raguzin E, Rasiwala H, Ray D, Rebeiro BM, Rescia S, Retière F, Richardson G, Ringuette J, Riot V, Rowson PC, Roy N, Rudolph L, Saldanha R, Sangiorgio S, Schwartz S, Soderstrom J, Soma AK, Spadoni F, Stekhanov V, Sun XL, Teimoori Barakoohi E, Thibado S, Tidball A, Totev T, Triambak S, Tsang T, Tyuka OA, Underwood R, van Bruggen E, Veeraraghavan V, Vidal M, Viel S, Walent M, Wamba K, Wang QD, Wang W, Wang YG, Watts M, Wei W, Wen LJ, Wichoski U, Wilde S, Worcester M, Wu S, Wu XM, Yang H, Yang L, Yvaine M, Zeldovich O, Zhao J, Ziegler T (2023)
Publication Language: English
Publication Type: Journal article
Publication year: 2023
Book Volume: 1055
Article Number: 168477
DOI: 10.1016/j.nima.2023.168477
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 application, explains how it functions, and discusses how it streamlines the design of the experiment.
APA:
Tsang, R.H., Piepke, A., Al Kharusi, S., Angelico, E., Arnquist, I.J., Atencio, A.,... Ziegler, T. (2023). An integrated online radioassay data storage and analytics tool for nEXO. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1055. https://doi.org/10.1016/j.nima.2023.168477
MLA:
Tsang, R. H.M., et al. "An integrated online radioassay data storage and analytics tool for nEXO." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1055 (2023).
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