The Light only Liquid Xenon experiment : signal production, data acquisition and commissioning
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".