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Record W2022724322 · doi:10.1088/0031-9155/51/12/n03

Application of the modified spherical harmonics method to some problems in biomedical optics

2006· article· en· W2022724322 on OpenAlexaff
Heping Xu, Michael S. Patterson

Bibliographic record

VenuePhysics in Medicine and Biology · 2006
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsMcMaster UniversityJuravinski Cancer Centre
FundersNational Cancer Institute
KeywordsSpherical harmonicsIsotropyHarmonicsPoint sourceFluenceDiffusion equationOpticsRadiative transferInversePhysicsDiffusionVector spherical harmonicsComputational physicsSpin-weighted spherical harmonicsExcitationMathematical analysisMathematicsGeometryQuantum mechanics

Abstract

fetched live from OpenAlex

It is demonstrated that a semi-analytical method, modified spherical harmonics (MSH), is a fast and rigorous solution for the radiative transport equation in an infinite medium containing an isotropic source. The optical properties of the medium can be determined using an inverse scheme based on fluence data (including phase if a modulated source is used) without the drawbacks inherent in the diffusion approximation. The MSH method can also be used to solve for the fluorescence fluence due to a point excitation source in an infinite medium.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.106
GPT teacher head0.427
Teacher spread0.321 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations9
Published2006
Admission routes1
Has abstractyes

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