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Record W1498491798

Low energy measurement of the F(p,α)O cross section at TRIUMF

2008· article· en· W1498491798 on OpenAlexaff
C. Beer, A.M. Laird, Simon P. Fox, Benjamin J. Fulton, M. A. Bentley, C. Aa. Diget, A. Murphy, T. Davinson, P. Salter, C. Ruiz, L. Buchmann, H. Dare, B. Davids, U. Hager, D. Howell, L. Martin, G. Ruprecht, P. Walden, C. Vockhenhuber

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsYork University
Fundersnot available
KeywordsPhysicsSection (typography)Nuclear physicsCross section (physics)Computer scienceAstronomy
DOInot available

Abstract

fetched live from OpenAlex

An experiment to measure the 18 F(p,α) 15 O cross section at low centre of mass energies has been performed with the TRIUMF-UK Detector Array (TUDA) facility at TRIUMF. Measurements of the 18 F(p,α) 15 O reaction rate at four separate centre of mass energies; 665 keV, 430 keV, 330 keV and 250 keV, were carried out. The main goal of the experiment was the measurement of the 18 F(p,α) 15 O cross section between 250 keV and 300 keV to help constrain the contribution to the reaction rate from nearby states and determine the effect of interference on the overall 18 F(p,α) 15 O reaction rate from the proposed low lying 3/2 + states with the higher 664.7 keV 3/2 + state. A high intensity 18 F beam (∼5x10 6 pps) was used to bombard a 31.6±1.9 µg.cm −2 polyethylene target within the TUDA scattering chamber at the four centre of mass energies. Four highly segmented silicon strip detector arrays were used for coincident detection of the reaction products. Preliminary results will be 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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.304
Teacher spread0.257 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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