An integrated online radioassay data storage and analytics tool for nEXO
Instrumentation and Detectors
2025-08-08 v2 Nuclear Experiment
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, explains how it functions, and discusses how it streamlines the design of the experiment.
Keywords
Cite
@article{arxiv.2304.06180,
title = {An integrated online radioassay data storage and analytics tool for nEXO},
author = {R. H. M. Tsang and A. Piepke and S. Al Kharusi and E. Angelico and I. J. Arnquist and A. Atencio and I. Badhrees and J. Bane and V. Belov and E. P. Bernard and A. Bhat and T. Bhatta and A. Bolotnikov and P. A. Breur and J. P. Brodsky and E. Brown and T. Brunner and E. Caden and G. F. Cao and L. Q. Cao and D. Cesmecioglu and C. Chambers and E. Chambers and B. Chana and S. A. Charlebois and D. Chernyak and M. Chiu and B. Cleveland and J. R. Cohen and R. Collister and M. Cvitan and J. Dalmasson and L. Darroch and K. Deslandes and R. DeVoe and M. L. di Vacri and Y. Y. Ding and M. J. Dolinski and J. Echevers and B. Eckert and M. Elbeltagi and R. Elmansali and L. Fabris and W. Fairbank and J. Farine and Y. S. Fu and D. Gallacher and G. Gallina and P. Gautam and G. Giacomini and W. Gillis and C. Gingras and D. Goeldi and R. Gornea and G. Gratta and Y. D. Guan and C. A. Hardy and S. Hedges and M. Heffner and E. Hein and J. Holt and E. W. Hoppe and A. House and W. Hunt and A. Iverson and A. Jamil and X. S. Jiang and A. Karelin and L. J. Kaufman and I. Kotov and R. Krücken and A. Kuchenkov and K. S. Kumar and A. Larson and K. G. Leach and B. G. Lenardo and D. S. Leonard and G. Li and S. Li and Z. Li and C. Licciardi and R. Lindsay and R. MacLellan and M. Mahtab and S. Majidi and C. Malbrunot and P. Martel-Dion and J. Masbou and N. Massacret and K. McMichael and B. Mong and D. C. Moore and K. Murray and J. Nattress and C. R. Natzke and X. E. Ngwadla and K. Ni and A. Nolan and S. C. Nowicki and J. C. Nzobadila Ondze and J. L. Orrell and G. S. Ortega and C. T. Overman and H. Peltz-Smalley and A. Perna and T. Pinto Franco and A. Pocar and J. -F. Pratte and V. Radeka and E. Raguzin and H. Rasiwala and D. Ray and B. Rebeiro and S. Rescia and F. Retière and G. Richardson and J. Ringuette and V. Riot and P. C. Rowson and N. Roy and L. Rudolph and R. Saldanha and S. Sangiorgio and S. Schwartz and J. Soderstrom and A. K. Soma and F. Spadoni and V. Stekhanov and X. L. Sun and E. Teimoori Barakoohi and S. Thibado and A. Tidball and T. Totev and S. Triambak and T. Tsang and O. A. Tyuka and R. Underwood and E. van Bruggen and V. Veeraraghavan and M. Vidal and S. Viel and M. Walent and K. Wamba and Q. D. Wang and W. Wang and Y. G. Wang and M. Watts and W. Wei and L. J. Wen and U. Wichoski and S. Wilde and M. Worcester and S. Wu and X. M. Wu and H. Yang and L. Yang and M. Yvaine and O. Zeldovich and J. Zhao and T. Ziegler},
journal= {arXiv preprint arXiv:2304.06180},
year = {2025}
}