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New Proton Driver Beamline Design for ARIEL* Project at TRIUMF**

2018· article· en· W3168227135 on OpenAlexaff
Yi‐Nong Rao, R. Baartman, Yu. Bylinskii, F.W. Jones

Bibliographic record

VenueJACOW · 2018
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsTRIUMF
Fundersnot available
KeywordsBeamlineComputer scienceSystems engineeringPhysicsEngineeringBeam (structure)Optics

Abstract

fetched live from OpenAlex

The new radioisotope facility at TRIUMF, ARIEL, under construction, comprises two primary driver beams: 50 MeV electrons from the SC linac and 480 MeV protons from the main TRIUMF cyclotron. New 80 m long proton beam line will transport up to 100 microamps beam from existing cyclotron extraction port to an ISOL target station. H− cyclotron stripping foil extraction allows to feed this additional user simultaneously with 3 present different experimental programs. Distinctive features of the new beam line include: a) compensation of the cyclotron energy dispersion; b) low-loss (< 1 nA/m) beam transport after a collimator dedicated to remove the beam halo produced by large-angle scattering in the extraction foil; c) broad range of beam size variability at the production target by applying beam rastering at 400 Hz; d) sharing the same tunnel with electron beam line that requires unique beam loss protect system. Details of beam optics design as well as beam instrumentation are discussed in the 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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.009

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 head0.033
GPT teacher head0.266
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2018
Admission routes1
Has abstractyes

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