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Record W4385493561 · doi:10.1364/opticaopen.23816565

Integrated density of states algorithm for one-dimensional randomly layered optical media

2023· preprint· en· W4385493561 on OpenAlexaboutno aff
Glen J. Kissel

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicRandom lasers and scattering media
Canadian institutionsnot available
Fundersnot available
KeywordsStack (abstract data type)InverseQuarter (Canadian coin)Focus (optics)Optical densityDensity of statesAlgorithmMaterials sciencePhysicsStatistical physicsCondensed matter physicsComputational physicsOpticsComputer scienceMathematicsGeometryGeography

Abstract

fetched live from OpenAlex

Anderson localization simulations in one-dimensional disordered optical systems usually focus on the localization length or its inverse, but the calculation of the density of states has appeared less frequently for such models. In this paper a technique originally used to calculate the integrated density of states for one-dimensional disordered crystals supporting electron propagation is modified for use with randomly layered optical media. The density of states is then readily available via differentiation. The algorithm is demonstrated on one-dimensional quarter-wave stack and non-quarter-wave stack models with layer thicknesses disordered.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.031
GPT teacher head0.262
Teacher spread0.231 · 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 designOther design
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
Published2023
Admission routes1
Has abstractyes

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