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Record W2047767246 · doi:10.1080/10618560701570448

Numerical predictions of short-pulsed laser transport in absorbing and scattering media. II—A frequency-based approach

2007· article· en· W2047767246 on OpenAlexaff
Daniel R. Rousse

Bibliographic record

VenueInternational journal of computational fluid dynamics · 2007
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsFrequency domainRadiative transferTransient (computer programming)Time domainScatteringDomain (mathematical analysis)Computer scienceSpace (punctuation)PhysicsMechanicsApplied mathematicsComputational physicsMathematical analysisOpticsMathematics

Abstract

fetched live from OpenAlex

The one-dimensional transient radiative transfer problem considered in the companion paper (Rousse 2007) is computationally solved here by the use of a finite volume method formulated in the space–frequency domain instead of the space–time domain. It has been shown in Rousse (2007) that numerical approaches based in the space–time domain induce transmitted flux emerging earlier than the minimal time required by the radiation to leave the medium. Therefore, to eliminate the time dependence, a frequency-based numerical method is formulated, implemented and validated in this paper. Results for transmittances are accurate and realistic, that is showing no physically unrealistic behaviours at early time periods. However, the frequency-dependent approach is computationally relatively expensive: it requires approximately five times more computational time than its temporal counterpart.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.299
Teacher spread0.288 · 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 designSimulation or modeling
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

Citations4
Published2007
Admission routes1
Has abstractyes

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