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Record W2016586423 · doi:10.1063/1.1565498

Carrier-density-wave transport property depth profilometry using spectroscopic photothermal radiometry of silicon wafers I: Theoretical aspects

2003· article· en· W2016586423 on OpenAlexafffund
Derrick Shaughnessy, Andreas Mandelis

Bibliographic record

VenueJournal of Applied Physics · 2003
Typearticle
Languageen
FieldEngineering
TopicThermography and Photoacoustic Techniques
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceExcitationWaferWavelengthPhotothermal spectroscopyOpticsThermal diffusivityPhotothermal therapySemiconductorLaserSIGNAL (programming language)OptoelectronicsPhysics

Abstract

fetched live from OpenAlex

A theoretical model for the photothermal radiometric (PTR) signal from an indirect band-gap semiconductor excited by a laser of arbitrary wavelength is presented. The model has been used to investigate the spectral dependence of the sensitivity of the PTR signal to variations in the electronic transport parameters of the sample. Simulations show slight variations of the sensitivity to carrier lifetime and carrier diffusivity with excitation wavelength due to changes in the strength of the thermal contribution to the signal that are a result of changes in the difference between the photon energy and the band gap. The sensitivity of the PTR signal to changes in the front surface recombination velocity is shown to have a strong dependence on the excitation wavelength with the sensitivity decreasing as the absorption depth of the excitation source increases, allowing spectroscopic carrier-density-wave depth profilometric measurements.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.218
Teacher spread0.205 · 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 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

Citations25
Published2003
Admission routes2
Has abstractyes

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