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Record W3086876419 · doi:10.14288/1.0394278

The Light only Liquid Xenon experiment : signal production, data acquisition and commissioning

2020· article· en· W3086876419 on OpenAlexaff
A. De St. Croix

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsXenonProduction (economics)SIGNAL (programming language)Data acquisitionEnvironmental scienceComputer scienceProcess engineeringPhysicsEngineeringNuclear physics

Abstract

fetched live from OpenAlex

The Light only Liquid Xenon (LoLX) experiment is a small detector designed to investigate both scintillation and Cherenkov light emission in liquid xenon, validate photon transport in simulations and study Silicon Photo-Multiplier (SiPM) response. A new analytic framework for describing temporal scintillation signatures is presented, and the relationship between xenon’s refractive index and temperature is derived from literature. The energy deposition time is also calculated for relativistic alpha and beta particles, as it pertains to future phases of LoLX which will aim to measure the rise time of the scintillation signal. The characterization of the LoLX electronics shows single photon resolution and the system linearity was reported for prompt light pulses up to 200 photons. A framework is presented for describing external cross-talk (eXT), where a charge avalanche in one SiPM generates photons which trigger another device. Finally preliminary data from a gaseous nitrogen cooldown of LoLX is analyzed, which shows evidence for fluorescence in nitrogen and eXT, although no definitive conclusions are drawn.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.946

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 studies0.0010.000
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 head0.019
GPT teacher head0.220
Teacher spread0.202 · 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 designOther design
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

Citations4
Published2020
Admission routes1
Has abstractyes

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