An integrated online radioassay data storage and analytics tool for nEXO

R. H.M. 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. P. Brodsky, E. Brown, T. Brunner, E. Caden, G. F. Cao, L. Q. CaoD. Cesmecioglu, C. Chambers, E. Chambers, B. Chana, S. A. Charlebois, D. Chernyak, M. 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, Y. S. 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, A. 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, S. Li, Z. 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. M. 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, A. K. 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, V. Veeraraghavan, M. Vidal, S. Viel, M. Walent, K. Wamba, Q. D. Wang, W. Wang, Y. G. Wang, M. Watts, W. Wei, L. J. Wen, U. Wichoski, S. Wilde, M. Worcester, S. Wu, X. M. Wu, H. Yang, L. Yang, M. Yvaine, O. Zeldovich, J. Zhao, T. Ziegler

Research output: Contribution to journalArticlepeer-review

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Abstract

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.

Funding

The authors gratefully acknowledge support for this work in part by the DOE Office of Nuclear Physics, United States under grant number DE-FG02-01ER41166 . The nEXO experiment has received support from the Office of Nuclear Physics within DOE’s Office of Science, and NSF in the United States ; from NSERC, Canada , CFI, Canada , FRQNT, Canada , NRC, Canada , and the McDonald Institute (CFREF) in Canada ; from IBS in South Korea ; from RFBR in Russia ; and from CAS and NSFC in China . This work was supported in part by Laboratory Directed Research and Development (LDRD) programs at Brookhaven National Laboratory (BNL), United States , Lawrence Livermore National Laboratory (LLNL), United States , Oak Ridge National Laboratory (ORNL), United States , Pacific Northwest National Laboratory (PNNL), United States , and SLAC National Accelerator Laboratory, United States .

FundersFunder number
McDonald Institute
National Science Foundation
Nuclear PhysicsDE-FG02-01ER41166
Nuclear Physics
Oak Ridge National Laboratory
Laboratory Directed Research and Development
Natural Sciences and Engineering Research Council of Canada
Canada Foundation for Innovation
National Natural Science Foundation of China
Russian Foundation for Basic Research
Chinese Academy of Sciences
Fonds de recherche du Québec – Nature et technologies
Institute for Basic Science
Canada First Research Excellence Fund

    Keywords

    • Application software
    • Data management
    • Low background
    • Neutrinoless double beta decay

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