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Record W1480370810 · doi:10.1063/1.2718061

Generating the Gaussian Basis Functions for Multi-Gaussian Beam Models

2007· article· en· W1480370810 on OpenAlexaff
Lester W. Schmerr, Ana Lopez-Sanchez, Alexander Sedov

Bibliographic record

VenueAIP conference proceedings · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsLakehead University
Fundersnot available
KeywordsGaussianTransducerPiston (optics)Gaussian beamPlanarGaussian processAmplitudeComputer scienceBeam (structure)Gaussian random fieldSensitivity (control systems)Phase spacePhase (matter)Parameter spaceStability (learning theory)Space (punctuation)AcousticsPhysicsOpticsElectronic engineeringMathematicsWavefront

Abstract

fetched live from OpenAlex

A new K‐space Prony’s method is developed to determine the amplitude and phase terms of the Gaussians used in a multi‐Gaussian beam model. Unlike the previous uses of Prony’s method this new K‐space approach allows the fitting of the Gaussian beams directly at the face of the transducer. The ability of the K‐space Prony’s method to model the transducer wave field of planar and focused piston transducers is demonstrated. It is shown that while this method is very fast there are also some stability and sensitivity issues associated with this approach.

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)0.015
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.372
GPT teacher head0.405
Teacher spread0.033 · 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.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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