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Record W4312334928 · doi:10.1364/ofs.2022.w4.38

FOS-based thermo-hygrometers in the ATLAS Inner Detector

2022· article· en· W4312334928 on OpenAlexaff
Lorenzo Scherino, M. Schioppa, Alla V. Arapova, Gaia Maria Berruti, Wojtek J. Bock, Anna Borriello, Stefania Campopiano, M. Consales, Andrea Cusano, Flavio Esposito, Agostino Iadicicco, Pavle Mikulić, Tiago Neves, P. Petagna, Giuseppe Quero, Anubhav Srivastava, Patrizio Vaiano, Mauro Zarrelli, Aldobenedetto Zotti, Simona Zuppolini

Bibliographic record

Venue27th International Conference on Optical Fiber Sensors · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsAtlas (anatomy)Large Hadron ColliderDetectorATLAS experimentHygrometerAtlas detectorData acquisitionHumidityRemote sensingEnvironmental scienceComputer scienceEngineeringPhysicsElectrical engineeringNuclear physicsMeteorologyGeologyOperating system

Abstract

fetched live from OpenAlex

We present the main steps of FOS (based on LPG and FBG) installation in the CERN-ATLAS experiment for temperature and humidity measurements, from laboratory calibrations and data acquisition chain development, to their installation and operation.

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 categoriesInsufficient payload (model declined to judge)
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 score0.576
Threshold uncertainty score0.989

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)0.0120.000

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 head0.037
GPT teacher head0.278
Teacher spread0.241 · 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.

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
Published2022
Admission routes1
Has abstractyes

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