MétaCan
Menu
Back to cohort
Record W2059224254 · doi:10.1002/xrs.728

Corrections to the conventional approach to Si(Li) detector efficiency

2004· article· en· W2059224254 on OpenAlexafffund
J. M. O’Meara

Bibliographic record

VenueX-Ray Spectrometry · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDetectorCollimatorMonte Carlo methodPhysicsAperture (computer memory)Photoelectric effectOpticsPhotonCollimated lightComputational physicsIntensity (physics)Energy (signal processing)Term (time)Absorption (acoustics)MathematicsStatisticsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract The contribution to full‐energy peak intensity from coherent or Compton scatter interactions followed by photoelectric absorption was calculated by the Monte Carlo method and found to be significant for photon energies above 30 keV. A multiple‐event term was therefore incorporated in the conventional physical model of detector efficiency. Also, a widely used approximation in the model was made rigorous, thereby removing a source of error. Efficiency measurements with and without an external collimator suggested the need for a further additional term, this one describing incomplete collimation by the internal aperture structure. Measured efficiency curves were least‐squares fitted using the conventional model with and without these corrections and new terms. The deduced detector thickness agreed with the manufacturer's value only when the new terms were used. Copyright © 2004 John Wiley & Sons, Ltd.

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)0.004
metaresearch head score (Gemma)0.013
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: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0040.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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
GenreMethods

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

Citations22
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueX-Ray SpectrometrySame topicRadiation Detection and Scintillator TechnologiesFrench-language works237,207