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Record W4401568659 · doi:10.1109/pn62551.2024.10621804

Absorption Properties of Neodymium-Doped Laser Crystals for Low Quantum Defect Pumping

2024· article· en· W4401568659 on OpenAlexaff
Mahdi Esmaeilzadeh, Nirmal Kumar Roy, A. Major

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSolid State Laser Technologies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNeodymiumDopingMaterials scienceOptoelectronicsAbsorption (acoustics)LaserOptical pumpingOpticsPhysicsComposite material

Abstract

fetched live from OpenAlex

We report on the absorption coefficients of several popular Neodymium-doped laser crystals at wavelengths longer than 870 nm. In this study, high-resolution absorption spectra of Nd:YVO4, Nd:GdVO4, Nd:YAG, Nd:YLF, and the composite Nd:YVO4/Nd:GdVO4crystals were measured in the 870-920 nm range to identify suitable wavelengths for excitation. Such wavelengths correspond to the lowest quantum defects in these crystals. According to the obtained absorption spectra, the most appropriate pumping wavelengths of the individual Nd:YVO4and Nd:GdVO4crystals are 914 and 912 nm, respectively. At the same time the composite Nd:YVO4/Nd:GdVO4crystal provides a broad absorption spectrum approximately between 910 and 916 nm. Moreover, the absorption spectra of Nd:YAG and Nd:YLF crystals reveal that laser diodes at 946 nm and 908 nm can be the best choice to excite these two widely used gain media.

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 score0.004

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 head0.023
GPT teacher head0.231
Teacher spread0.208 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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