An integrated online radioassay data storage and analytics tool for nEXO
An integrated online radioassay data storage and analytics tool for nEXO
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DOI：
10.1016/j.nima.2023.168477
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发表时间：
2023-04
期刊：
影响因子：
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通讯作者：
R. Tsang;A. Piepke;S. Al Kharusi;E. Angelico;I. Arnquist;A. Atencio;I. Badhrees;J. Bane;V. Belov;E. Bernard;A. Bhat;T. Bhatta;A. Bolotnikov;P. Breur;J. Brodsky;E. Brown;T. Brunner;E. Caden;G. Cao;L. Cao;D. Cesmecioglu;C. Chambers;E. Chambers;B. Chana;S. Charlebois;D. Chernyak;M. Chiu;B. Cleveland;J. Cohen;R. Collister;M. Cvitan;J. Dalmasson;L. Darroch;K. Deslandes;R. DeVoe;M. L. di Vacri;Y.Y. Ding;M. 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. Guan;C. Hardy;S. Hedges;M. Heffner;E. Hein;J. Holt;E. Hoppe;A. House;W. Hunt;A. Iverson;A. Jamil;X.S. Jiang;A. Karelin;L. Kaufman;I. Kotov;R. Krücken;A. Kuchenkov;K. S. Kumar;A. Larson;K. Leach;B. Lenardo;D. 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. Moore;K. Murray;J. Nattress;C. Natzke;X. Ngwadla;K. Ni;A. Nolan;S. Nowicki;J. Nzobadila Ondze;J. Orrell;G. S. Ortega;C. Overman;H. Peltz-Smalley;A. Perna;T. Pinto Franco;A. Pocar;J. Pratte;V. Radeka;E. Raguzin;H. Rasiwala;D. Ray;B. Rebeiro;S. Rescia;F. Retière;G. Richardson;J. Ringuette;V. Riot;P. Rowson;N. Roy;L. Rudolph;R. Saldanha;S. Sangiorgio;S. Schwartz;J. Søderstrøm;A. 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. V. van Bruggen;V. Veeraraghavan;M. Vidal;S. Viel;M. Walent;K. Wamba;Q.D. Wang;W. Wang;Y. Wang;M. Watts;W. Wei;L. Wen;U. Wichoski;S. Wilde;M. Worcester;S. Wu;X.M. Wu;H. Yang;L. Yang;M. Yvaine;O. Zeldovich;J. Zhao;T. Ziegler
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文献类型：
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作者：
R. Tsang;A. Piepke;S. Al Kharusi;E. Angelico;I. Arnquist;A. Atencio;I. Badhrees;J. Bane;V. Belov;E. Bernard;A. Bhat;T. Bhatta;A. Bolotnikov;P. Breur;J. Brodsky;E. Brown;T. Brunner;E. Caden;G. Cao;L. Cao;D. Cesmecioglu;C. Chambers;E. Chambers;B. Chana;S. Charlebois;D. Chernyak;M. Chiu;B. Cleveland;J. Cohen;R. Collister;M. Cvitan;J. Dalmasson;L. Darroch;K. Deslandes;R. DeVoe;M. L. di Vacri;Y.Y. Ding;M. 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. Guan;C. Hardy;S. Hedges;M. Heffner;E. Hein;J. Holt;E. Hoppe;A. House;W. Hunt;A. Iverson;A. Jamil;X.S. Jiang;A. Karelin;L. Kaufman;I. Kotov;R. Krücken;A. Kuchenkov;K. S. Kumar;A. Larson;K. Leach;B. Lenardo;D. 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. Moore;K. Murray;J. Nattress;C. Natzke;X. Ngwadla;K. Ni;A. Nolan;S. Nowicki;J. Nzobadila Ondze;J. Orrell;G. S. Ortega;C. Overman;H. Peltz-Smalley;A. Perna;T. Pinto Franco;A. Pocar;J. Pratte;V. Radeka;E. Raguzin;H. Rasiwala;D. Ray;B. Rebeiro;S. Rescia;F. Retière;G. Richardson;J. Ringuette;V. Riot;P. Rowson;N. Roy;L. Rudolph;R. Saldanha;S. Sangiorgio;S. Schwartz;J. Søderstrøm;A. 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. V. van Bruggen;V. Veeraraghavan;M. Vidal;S. Viel;M. Walent;K. Wamba;Q.D. Wang;W. Wang;Y. Wang;M. Watts;W. Wei;L. Wen;U. Wichoski;S. Wilde;M. Worcester;S. Wu;X.M. Wu;H. Yang;L. Yang;M. Yvaine;O. Zeldovich;J. Zhao;T. Ziegler
随着实验合作推动提高灵敏度，大规模低本底探测器越来越多地用于罕见事件的搜索。然而，在实践中，建造这样的探测器会产生大量的放射分析数据，特别是在实验的概念阶段，即对数百种材料进行放射性纯度筛选。需要一种工具来管理和利用放射分析筛选数据，以定量评估探测器设计选项。我们为Nexo实验开发了一个材料数据库应用程序来满足这一目的。本文描述了这个数据库应用程序，解释了它的功能，并讨论了它如何简化实验的设计。
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.