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The 1.3 GHz SRF Injector Cryomodule for VECC – designed and manufactured at TRIUMF

2017· article· en· W2591788565 on OpenAlexaff
M. Ahammed, P. Harmer, David Kishi, Philipp Kolb, Alexey Koveshnikov, Robert Laxdal, Yuxiang Ma, Md Ashifuddin Mondal, Norman Müller, Ruslan Nagimov, Vaishali Naik, S. Saha, Vladimir Zvyagintsev

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsTRIUMF
Fundersnot available
KeywordsNuclear engineeringInjectorNuclear physicsLinear particle acceleratorHeliumPhysicsSuperconducting radio frequencyLiquid heliumMaterials scienceParticle acceleratorBeam (structure)EngineeringAtomic physics

Abstract

fetched live from OpenAlex

The combined R&D efforts of engineers and scientists from both TRIUMF and VECC have resulted in production of a superconducting Injector Cryomodule operating at 1.3 GHz. The design utilizes a unique box cryomodule with a top-loading cold mass. Liquid helium supplied at 4.4 K is converted to superfluid helium-II on board the cryomodule. A 4 K phase separator, 4 K / 2 K heat exchanger and Joule-Thompson valve are installed on the cryomodule to produce 2 K liquid helium. Two identical (by their parameters) cryomodules have been manufactured at TRIUMF. The Injector Cryomodule (ICM) has been tested and commissioned in June of 2014 and is the first cryomodule for the ARIEL e-linac at TRIUMF. The Injector Cryomodule for VECC (VECC ICM) is currently at the finishing stage of its assembly and will undergo cryogenic tests in Q1 of 2016 followed by RF and beam tests at TRIUMF before being shipped to India. The particularities of the design as well as results of the cryogenic and RF performance are presented in this paper.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.023
GPT teacher head0.231
Teacher spread0.209 · 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 designBench or experimental
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
Published2017
Admission routes1
Has abstractyes

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