Commissioning of the ARIEL E-LINAC Beam Loss Monitor System
Bibliographic record
Abstract
The commissioning of the Advanced Rare Isotope Electron Linac (ARIEL) facility at TRIUMF is underway. The 30 MeV e-linac has successfully been commissioned to 100 W, and to further increase the power to 1 kW the beam loss monitor system (BLM) for fast Machine Protection must be fully operational. There are currently two types of BLMs employed in the e-linac; long-ionization chambers (LIC) and scintillators, consisting of a small BGO coupled to a PMT. A front-end beam loss monitor board was designed at TRIUMF to meet the strict requirements of the BLMs: a trip of the beam occurs on 100 nC in 100 ms of integrated beam loss, and the trip must occur in 10 us. This contribution will report on the status of the 1 kW BLM system commissioning and will give an outlook as the power is increased to the full 300 kW.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".