MétaCan
Menu
Back to cohort
Record W2383343471

BEPC II linac upgrade and beam commissioning

2006· article· en· W2383343471 on OpenAlexaff
王书鸿, 裴国玺, 孙耀霖, Yunlong Chi, 陈延伟, 曹建社, 孔祥成, 赵风利, 侯汨, 邓秉林, Wang Sh, GX Pei, YL Sun, YW Chen, Jianshe Cao, XC Kong, FL Zhao, M.D. Hou, Bing-Lin Deng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsUpgradePhysicsLinear particle acceleratorThermal emittanceBeam (structure)InjectorBeam emittanceLuminosityNuclear physicsParticle acceleratorNuclear engineeringOpticsEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

The BEPC II injector linac upgrade aims at having higher beam energy with smaller beam emittance and energy spread to meet the colliding luminosity upgrade by two orders of magnitudes higher. It is a great challenge to various systems and the beam physics for this injector linac. This paper describes the constructions of the new electron gun, the new positron source, the new RF power supply, the new phasing system and the upgraded beam instrumentation, which are immediately affected on the beam performance. The beam physics with high current and small emittance and energy spread are systematically studied. The preliminary beam commissioning results and the further machine improvement plans are presented.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.005

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 head0.005
GPT teacher head0.192
Teacher spread0.186 · 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 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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicParticle accelerators and beam dynamicsFrench-language works237,207