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Development of a <sup>127</sup>Xe calibration source for nEXO

2022· article· en· W4221145892 on OpenAlexaff
B. G. Lenardo, C. A. Hardy, R. Tsang, J. C. Nzobadila Ondze, A. Piepke, S. Triambak, A. Jamil, G. Adhikari, S. Al Kharusi, Evan Angelico, I. J. Arnquist, V. Belov, E. P. Bernard, Aaqib Ayoub Bhat, Trilochan Bhatta, A. E. Bolotnikov, P. A. Breur, J. Brodsky, A. Brown, T. Brunner, E. Caden, G. F. Cao, Liangzhi Cao, B. Chana, Serge A. Charlebois, D. Chernyak, M. Chiu, J.R. Cohen, R. Collister, J. Dalmasson, T. Daniels, L. Darroch, R. DeVoe, M. L. di Vacri, Ying Ding, M. J. Dolinski, J. Echevers, B. Eckert, M. Elbeltagi, L. Fabris, D. Fairbank, W. M. Fairbank, J. Farine, Yanyan Fu, G. Gallina, P. Gautam, G. Giacomini, W. Gillis, C. Gingras, R. Gornea, G. Gratta, Khadouja Harouaka, M. Heffner, E. Hein, J. Hößl, A. House, A. Iverson, X. S. Jiang, A. Karelin, L. J. Kaufman, R. Krücken, A. Kuchenkov, K.S. Kumar, A. C. Larson, K. G. Leach, D. S. Leonard, G. Li, S. Li, Z. Li, C. Licciardi, R. Lindsay, R. MacLellan, J. Masbou, K. McMichael, M. Medina Peregrina, B. Mong, David C. Moore, K. Murray, J. Nattress, C. R. Natzke, X.E. Ngwadla, K. Ni, Zhe Ning, J. L. Orrell, G.S. Ortega, I. Ostrovskiy, C.T. Overman, Andréa Perna, T. Pinto Franco, A. Pocar, J.‐F. Pratte, N. Priel, E. Raguzin, G.J. Ramonnye, H. Rasiwala, Kurtis Raymond, G. Richardson, M. Richman, Jon Ringuette, P.C. Rowson, R. Saldanha, S. Sangiorgio, Xiao Shang, A. K. Soma, F. Spadoni, V. Stekhanov, X. Sun, S. Thibado, A. Tidball, J. Todd, T.I. Totev, O. A. Tyuka, F. Vachon, V. Veeraraghavan, S. Viel, K. Wamba, Y. Wang, Q. Wang, W. Wei, Long Wen, U. Wichoski, S. Wilde, W.H. Wu, Wei Yan, L. Yang, O. Zeldovich, J. Zhao, T. Ziegler

Bibliographic record

VenueJournal of Instrumentation · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsUniversity of British ColumbiaUniversité de SherbrookeTRIUMFCarleton UniversityLaurentian UniversityUniversity of SudburyMcGill University
Fundersnot available
KeywordsXenonCalibrationDetectorPhysicsTime projection chamberOpticsNuclear physics

Abstract

fetched live from OpenAlex

Abstract We study a possible calibration technique for the nEXO experiment using a 127 Xe electron capture source. nEXO is a next-generation search for neutrinoless double beta decay (0 νββ ) that will use a 5-tonne, monolithic liquid xenon time projection chamber (TPC). The xenon, used both as source and detection medium, will be enriched to 90% in 136 Xe. To optimize the event reconstruction and energy resolution, calibrations are needed to map the position- and time-dependent detector response. The 36.3 day half-life of 127 Xe and its small Q-value compared to that of 136 Xe 0 νββ would allow a small activity to be maintained continuously in the detector during normal operations without introducing additional backgrounds, thereby enabling in-situ calibration and monitoring of the detector response. In this work we describe a process for producing the source and preliminary experimental tests. We then use simulations to project the precision with which such a source could calibrate spatial corrections to the light and charge response of the nEXO TPC.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.301
Teacher spread0.276 · 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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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