MétaCan
Menu
Back to cohort

The ISAC-II Linac Performance

2016· article· en· W2588085343 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJACOW · 2016
Typearticle
Languageen
FieldComputer Science
TopicNumerical Methods and Algorithms
Canadian institutionsTRIUMF
Fundersnot available
KeywordsLinear particle acceleratorComputer sciencePhysicsOptics

Abstract

fetched live from OpenAlex

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.989
Threshold uncertainty score0.229

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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