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Design study of superconducting quarter wave resonator for post acceleration of radioactive Ion beam facility at VECC, Kolkata

2020· article· en· W3138654089 on OpenAlex
U. Bhunia, Arup Bandyopadhyay, Pratanu Chakraborty, Manas Mondal, Vaishali Naik, Robert Laxdal, Zhong‐Ke Yao, Bhalwinder Waraich, Ben Matheson, E. Glenwright

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

VenueIndian Journal of Cryogenics · 2020
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsTRIUMF
Fundersnot available
KeywordsQuarter (Canadian coin)AccelerationSuperconductivityResonatorBeam (structure)PhysicsIonIon beamNuclear engineeringMathematicsEngineeringOpticsGeographyQuantum mechanics

Abstract

fetched live from OpenAlex

A Superconducting (SC) resonator (QWR) designed to operate at 113.6 MHz with geometry beta of 0.055 is under development for the post-acceleration of Rare Isotope Beam (RIB) at VECC, Kolkata. The QWR section of the post accelerator is composed of two cryostat module each containing four hermetically sealed QWRs having separate vacuum from cryostat. Each QWR module will accelerate beam up to q/A=1/7 with accelerating gradient of 5.0 MV/m in CW mode. In this paper, the design of the QWR has been reported considering issues like sufficient operational margin, beam dynamical requirements, mechanical fabrication, etc. The simulations performed with FEM code show that the tuning system can adjust and compensate the frequency drift due to external vibrations and helium pressure fluctuation during operation. In order to minimize the undesirable beam steering effect due to vertical component of electric field, studies has been made to optimally position QWRs inside cryostat.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.576

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 science0.0000.000
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 head0.054
GPT teacher head0.248
Teacher spread0.194 · 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