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Record W2010850664 · doi:10.1080/09500340903094585

Optical setup with high power transmission for creating gratings at the focusing length

2009· article· en· W2010850664 on OpenAlexaff
Jasjit Singh Mann, Avinash Parashar, Ankur Shah, N.R. Sivakumar

Bibliographic record

VenueJournal of Modern Optics · 2009
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsGratingOpticsMaterials scienceFabricationNanosecondOptical powerMachiningLaserOptoelectronicsWavelengthDiffraction gratingTransmission (telecommunications)Computer scienceTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

A simple optical configuration has been proposed to fabricate surface-relief gratings which are key elements in integrated optical devices. This configuration is simple and easy to align thus enabling precise fabrication of a grating which is near to the wavelength used for machining. The system comparatively requires less alignment in order to get the maximum power transmission efficiency. In this paper we are interfering nanosecond pulses from Nd: VYO4 laser system in the infrared regime. The pulses were made to interfere at the focal plane on a stainless steel sample target to fabricate surface relief gratings. Surface characteristics of the gratings have been studied by scanning electron microscopy and optical microscope. The change in the grating period by a simple modification in setup has been shown in this work. Feasibility of the new configuration with respect to alignments and machining efficiency has been verified by our experimental results.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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
Published2009
Admission routes1
Has abstractyes

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