MétaCan
Menu
Back to cohort

Small scale time projection chamber setup to test the purity of liquid krypton from the NA62 experiment at CERN

2022· article· en· W4293245203 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversity of British ColumbiaTRIUMF
Fundersnot available
KeywordsKryptonTime projection chamberCryocoolerLarge Hadron ColliderNuclear engineeringCryogenicsCalorimeter (particle physics)Materials scienceNuclear physicsIonization chamberIonizationXenonPhysicsDetectorElectronOpticsEngineering

Abstract

fetched live from OpenAlex

Abstract A high liquid krypton purity level is essential for the NA62 calorimeter at CERN to ensure long lifetimes of the ionization electrons in the detector. A small time projection chamber (TPC) system was developed to enable the measurement of liquid krypton purity at the oxygen equivalent ppb level. This paper describes the dedicated cryogenic setup and the procedures required to operate the purity monitor system, while guaranteeing the condensation of krypton at 119 K without freezing it at 115.8 K on the cryocooler-based heat exchanger. The focus is on the materials used, and the instrumentation and pressure safety equipment that allowed the bake-out and purging procedures to reach ppb levels of impurities in the two litre vessel containing the TPC. The setup was integrated in the NA62 experimental area and successfully tested with purified commercially obtained krypton.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.756

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)0.0010.000

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 head0.016
GPT teacher head0.205
Teacher spread0.190 · 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