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Record W2110847183 · doi:10.1109/pac.1997.749914

Accumulator ring H/sup -/ injection optimization studies

2002· article· en· W2110847183 on OpenAlexfundno aff
J. Galambos, J. A. Holmes, D.K. Olsen

Bibliographic record

VenueProceedings of the 1997 Particle Accelerator Conference (Cat. No.97CH36167) · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
FundersTRIUMF
KeywordsAccumulator (cryptography)SpallationSpallation Neutron SourceFOIL methodProcess optimizationNeutronMaterials sciencePhysicsNuclear engineeringNuclear physicsComputer scienceEngineeringAlgorithm

Abstract

fetched live from OpenAlex

H/sup -/ ion injection into an accumulator ring is a limiting process for future high-intensity pulsed spallation sources. To facilitate the injection design process, a method has been developed to access a tracking code, ACCSIM, from within an optimization package. The optimization tool is a C++ interactive driver with steepest descent and genetic algorithm optimization methods and parallel computing capabilities. Some injection parameters varied in the optimization process are the H/sup -/ beam size and position, the foil configuration and thickness, and the horizontal and vertical bump time profiles. Constraints and figures-of-merit include maximum allowed foil temperature, maximum allowed space charge tune shifts, maximum allowed foil traversals, and maximum allowed beam losses. Application of this method to accumulator ring injection in the proposed National Spallation Neutron Source (NSNS) is 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 score0.828
Threshold uncertainty score0.788

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 communication0.0000.001
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 head0.063
GPT teacher head0.279
Teacher spread0.217 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

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