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Record W1988153187 · doi:10.1109/ppc.2005.300750

Precision 25 kV Pulse and RF Suppression in a 75 kHz Kicker

2005· article· en· W1988153187 on OpenAlexaff
Roberto B. Armenta, Michael Barnes, G.D. Wait

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsTRIUMF
Fundersnot available
KeywordsPulse (music)PhysicsBeam (structure)Pulse durationOpticsDetectorLinear particle acceleratorParticle acceleratorNuclear magnetic resonanceLaser

Abstract

fetched live from OpenAlex

An international collaboration plans to measure the lifetime (~2 mus) of the muon to a precision of 1 ppm. The "MuLan" experiment is in progress at the Paul Scherrer Institut (PSI) in Switzerland. This experiment requires a fast beam line kicker, which can turn the beam on and off, to invoke an artificial time structure on the continuous beam which has a 50.6 MHz time microstructure. The kicker was designed and built at TRIUMF and installed at PSI in June 2003. Tests at PSI showed that RF from the kicker interfered with experimental detectors. Also it was realized that the specification for the flattop of the voltage pulse was not adequate for this precision experiment. Significant reduction in the RF and improvement in the pulse flattop were required. The kicker was returned to TRIUMF, and extensive changes were made, based on detailed measurements and PSpice simulations. After the changes the RF was reduced by a factor of more than 5000. The flattop variation, for a 22 mus pulse duration, was reduced from 0.18% to less than 0.001%: in addition the pulse overshoot was reduced from 10% to 2%.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.013
GPT teacher head0.313
Teacher spread0.300 · 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

Citations4
Published2005
Admission routes1
Has abstractyes

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