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Performance of novel VUV-sensitive Silicon Photo-Multipliers for nEXO

2022· article· en· W4296414183 on OpenAlexafffund
G. Gallina, Y. H. Guan, F. Retière, G. F. Cao, A. E. Bolotnikov, I. Kotov, S. Rescia, A. K. Soma, T. Tsang, L. Darroch, T. Brunner, J. Bolster, J.R. Cohen, T. Pinto Franco, W. Gillis, H. Peltz Smalley, S. Thibado, A. Pocar, Aaqib Ayoub Bhat, A. Jamil, David C. Moore, G. Adhikari, S. Al Kharusi, Evan Angelico, I. J. Arnquist, P. Arsenault, I. Badhrees, J. Bane, V. Belov, E. P. Bernard, Trilochan Bhatta, P. A. Breur, J. Brodsky, A. Brown, E. Caden, Liqiang Cao, C. Chambers, B. Chana, Serge A. Charlebois, D. Chernyak, M. Chiu, B. T. Cleveland, R. Collister, M. Cvitan, J. Dalmasson, T. Daniels, K. Deslandes, R. DeVoe, M. L. di Vacri, Ying Ding, M. J. Dolinski, A. Dragone, J. Echevers, B. Eckert, M. Elbeltagi, L. Fabris, W. M. Fairbank, J. Farine, Yanyan Fu, D. Gallacher, P. Gautam, G. Giacomini, C. Gingras, D. Goeldi, R. Gornea, G. Gratta, C. A. Hardy, S. Hedges, M. Heffner, E. Hein, J. D. Holt, E. W. Hoppe, J. Hößl, A. House, W. E. Hunt, A. Iverson, X. S. Jiang, A. Karelin, L. J. Kaufman, R. Krücken, A. Kuchenkov, K.S. Kumar, A. C. Larson, K. G. Leach, B. G. Lenardo, D. S. Leonard, G. Lessard, Gang Li, S. Li, Z. Li, C. Licciardi, R. Lindsay, R. MacLellan, M. Mahtab, S. Majidi, C. Malbrunot, P. Margetak, P. Martel-Dion, L. Martin, J. Masbou, N. Massacret, K. McMichael, B. Mong, K. Murray, J. Nattress, C. R. Natzke, X.E. Ngwadla, J. C. Nzobadila Ondze, A. Odian, J. L. Orrell, G.S. Ortega, C.T. Overman, Samuel Parent, Andréa Perna, A. Piepke, N. Pletskova, J.‐F. Pratte, V. Radeka, E. Raguzin, G.J. Ramonnye, T. Rao, H. Rasiwala, Kurtis Raymond, B. Rebeiro, G. Richardson, Jon Ringuette, Vincent Riot, T. Rossignol, P.C. Rowson, L. Rudolph, R. Saldanha, S. Sangiorgio, Xiao Shang, F. Spadoni, V. Stekhanov, X. Sun, A. Tidball, T.I. Totev, S. Triambak, R. Tsang, O. A. Tyuka, F. Vachon, M. Vidal, S. Viel, G. Visser, M. Wagenpfeil, M. Walent, K. Wamba, Qiuhong Wang, W. Wang, Y. Wang, Molly Watts, W. Wei, Liangjian Wen, U. Wichoski, S. Wilde, M. Worcester, Wei Wu, X. Wu, Liang Xie, Wei Yan, H. Yang, L. Yang, O. Zeldovich, Jun Zhao, T. Ziegler

Bibliographic record

VenueThe European Physical Journal C · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsUniversity of British ColumbiaLaurentian UniversityUniversité de SherbrookeMcGill UniversityUniversity of SudburyCarleton UniversityTRIUMF
FundersNuclear PhysicsFonds de recherche du Québec – Nature et technologiesNational Institute of Standards and TechnologyNatural Sciences and Engineering Research Council of CanadaQueen's UniversityNational Natural Science Foundation of ChinaU.S. Department of EnergyOffice of ScienceCanada First Research Excellence FundRussian Foundation for Basic ResearchNational Science Foundation
KeywordsAlgorithmComputer science

Abstract

fetched live from OpenAlex

Abstract Liquid xenon time projection chambers are promising detectors to search for neutrinoless double beta decay (0 $$\nu \beta \beta $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>ν</mml:mi><mml:mi>β</mml:mi><mml:mi>β</mml:mi></mml:mrow></mml:math> ), due to their response uniformity, monolithic sensitive volume, scalability to large target masses, and suitability for extremely low background operations. The nEXO collaboration has designed a tonne-scale time projection chamber that aims to search for 0 $$\nu \beta \beta $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>ν</mml:mi><mml:mi>β</mml:mi><mml:mi>β</mml:mi></mml:mrow></mml:math> of $$^{136}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow/><mml:mn>136</mml:mn></mml:msup></mml:math> Xe with projected half-life sensitivity of $$1.35\times 10^{28}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>1.35</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>28</mml:mn></mml:msup></mml:mrow></mml:math> yr. To reach this sensitivity, the design goal for nEXO is $$\le $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>≤</mml:mo></mml:math> 1% energy resolution at the decay Q -value ( $$2458.07\pm 0.31$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>2458.07</mml:mn><mml:mo>±</mml:mo><mml:mn>0.31</mml:mn></mml:mrow></mml:math> keV). Reaching this resolution requires the efficient collection of both the ionization and scintillation produced in the detector. The nEXO design employs Silicon Photo-Multipliers (SiPMs) to detect the vacuum ultra-violet, 175 nm scintillation light of liquid xenon. This paper reports on the characterization of the newest vacuum ultra-violet sensitive Fondazione Bruno Kessler VUVHD3 SiPMs specifically designed for nEXO, as well as new measurements on new test samples of previously characterised Hamamatsu VUV4 Multi Pixel Photon Counters (MPPCs). Various SiPM and MPPC parameters, such as dark noise, gain, direct crosstalk, correlated avalanches and photon detection efficiency were measured as a function of the applied over voltage and wavelength at liquid xenon temperature (163 K). The results from this study are used to provide updated estimates of the achievable energy resolution at the decay Q -value for the nEXO design.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.287
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations21
Published2022
Admission routes2
Has abstractyes

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Same venueThe European Physical Journal CSame topicNeutrino Physics ResearchFrench-language works237,207