The ISAC-II Linac Performance
Bibliographic record
Abstract
The ISAC-II superconducting linac is operating for almost a decade. The first installation includes twenty cavities housed in five cryomodules. The Phase II upgrade consisted of twenty additional cavities housed in three cryomodules. The upgrade brings the linac to a nominal 40 MV of effective accelerating voltage according to design specification. Moreover the upgrade was the first step to qualify a Canadian vendor (PAVAC) for the production of superconducting cavities. Each cryomodule includes bulk niobium quarter wave resonators and a 9T superconducting solenoid for transverse focusing. The linac features a single vacuum space. Over the years the linac has experienced vacuum incidents and high power rf cable failures in vacuum that were addressed during maintenance. In a recent maintenance program cavities from a single cryomodule were re-etched to improve performance. Future cavity treatments are in the plan but they are restricted by the scientific program. The status of the linac, performance and future development plans will be presented. Reliability and availability of the linac will be discussed, metrics that will become even more important with the advent of ARIEL.
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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".