MétaCan
Menu
Back to cohort
Record W4323438850 · doi:10.17615/14qv-2394

The Majorana Demonstrator readout electronics system

2023· article· en· W4323438850 on OpenAlexfundno aff
J.A. Detwiler, A.M. Lopez, F.E. Bertrand, B. Bos, Y.-D. Chan, D. Peterson, H. Ejiri, R. T. Kouzes, F.T. Avignone, I. J. Arnquist, V.E. Guiseppe, A.W. Bradley, H. Yaver, J. Myslik, T.K. Oli, P.-H. Chu, J. F. Wilkerson, C. Wiseman, C.-H. Yu, M. Amman, R.L. Varner, A.S. Barabash, A. Drobizhev, S. Vasilyev, D. Hervas Aguilar, R.J. Hegedus, E.W. Hoppe, A. Li, P.N. Luke, N. Abgrall, E. L. Martín, W. Pettus, M. Busch, T.S. Caldwell, S. Zimmermann, B.X. Zhu, B. Sayki, M.J. Stortini, R. Massarczyk, S.J. Meijer, K. Rielage, R.G.H. Robertson, G.K. Giovanetti, M.F. Kidd, A. Hostiuc, J. Rager, P.J. Barton, K.H. Bhimani, J.C. Loach, R.J. Cooper, R.D. Martin, R. Henning, M.L. Clark, T.H. Burritt, T. Gilliss, J. Gruszko, S. Mertens, C.R. Haufe, N.W. Ruof, M. P. Green, D. Tedeschi, M. Turqueti, I. Kim, C.J. Barton, A.L. Reine, S.R. Elliott, C. Cuesta, G. Othman, Y. Efremenko, A.W.P. Poon, D.C. Radford, M. Buuck, D.W. Edwins, W. Xu, C.D. Christofferson, K. Vetter, I.S. Guinn, J.M. López-Castaño, Van Wechel

Bibliographic record

VenueUNC Libraries · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
FundersPacific Northwest National LaboratoryLawrence Berkeley National LaboratoryOak Ridge National LaboratoryNuclear PhysicsLos Alamos National LaboratoryNatural Sciences and Engineering Research Council of CanadaLaboratory Directed Research and DevelopmentU.S. Department of EnergyOffice of ScienceRussian Foundation for Basic ResearchNational Science Foundation
KeywordsMAJORANAElectronicsPhysicsComputer scienceEngineeringElectrical engineeringParticle physicsFermion

Abstract

fetched live from OpenAlex

The Majorana Demonstrator comprises two arrays of high-purity germanium detectors constructed to search for neutrinoless double-beta decay in 76Ge and other physics beyond the Standard Model. Its readout electronics were designed to have low electronic noise, and radioactive backgrounds were minimized by using low-mass components and low-radioactivity materials near the detectors. This paper provides a description of all components of the Majorana Demonstrator readout electronics, spanning the front-end electronics and internal cabling, back-end electronics, digitizer, and power supplies, along with the grounding scheme. The spectroscopic performance achieved with these readout electronics is also demonstrated.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.761

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)0.0000.001

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 head0.010
GPT teacher head0.205
Teacher spread0.195 · 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 designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueUNC LibrariesSame topicParticle Detector Development and PerformanceFrench-language works237,207