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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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.256

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 head0.005
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

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