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Record W2598716293 · doi:10.1364/ao.56.002937

Polarization anisotropy of thermal lens in Yb:KY(WO_4)_2 laser crystal under high-power diode pumping

2017· article· en· W2598716293 on OpenAlexafffund
Pavel Loiko, Sujith Manjooran, K. V. Yumashev, Arkady Major

Bibliographic record

VenueApplied Optics · 2017
Typearticle
Languageen
FieldEngineering
TopicSolid State Laser Technologies
Canadian institutionsUniversity of Manitoba
FundersWestern Economic Diversification CanadaNatural Sciences and Engineering Research Council of CanadaUniversity of Manitoba
KeywordsOpticsMaterials scienceLaserPolarization (electrochemistry)DiodeAnisotropyLens (geology)OptoelectronicsPhysics

Abstract

fetched live from OpenAlex

Thermal lensing was studied in an Ng-cut monoclinic Yb:KY(WO4)2 (Yb:KYW) laser crystal under high-power diode pumping at ∼980 nm, for the two principal light polarizations, E||Nm and E||Np. For both polarizations, the thermal lens (TL) was positive. It was found that operation of an Yb:KYW laser with the E||Np polarization corresponds to a weaker TL that results in a better quality of the laser beam and superior power scaling capabilities. The sensitivity factors of the TL in this case were M=0.37 and 0.57 m−1/W for the mg and pg principal meridional planes, respectively, and the astigmatism degree was as low as S/M=35% (for a pump beam radius of wp=175 μm). The photoelastic terms, fractional heat loading, and generalized thermo-optic coefficients were evaluated.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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 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

Citations67
Published2017
Admission routes2
Has abstractyes

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