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

1 Scopus citations


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.

Original languageEnglish
Article number168477
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
StatePublished - Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.


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

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation


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