sTGC Testing for ATLAS’ New Small Wheel at McGill University and CERN
Bibliographic record
Abstract
ATLAS’ muon small wheel must be replaced to improve muon track reconstruction and the forward muon trigger as the LHC tends towards higher collision rates. New multi – wire proportional chambers, small strip thin gap chambers (sTGCs), are being created in five countries for the new small wheel [1]. In Canada, the final stage of STGC production is to test the chambers with cosmic muons at McGill University [2]. The laboratory infrastructure at McGill is almost ready to allow data collection from the sTGCs without an operator present, the final step being to complete a temperature control and monitoring infrastructure for the electronic readout boards of the sTGCs. After the chambers are tested at McGill, they are sent to CERN where they are further tested with muon beam from the Super Proton Synchrotron. Preliminary results on the efficiency of one of the prototype chambers are presented. This report gives an overview of sTGC testing for the muon new small wheel with a focus on work completed by the author as part of the Institute of Particle Physics (Canada) Fellowship and CERN Summer Student Programme from May – August, 2018.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".