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Record W3126737037 · doi:10.1364/jot.87.000638

Study on superachromatism of a quarter-wave retarder for the visible range of the spectrum

2020· article· en· W3126737037 on OpenAlexaboutno aff
Nilanjan Mukhopadhyay, Arijit Saha, K. Bhattacharya

Bibliographic record

VenueJournal of Optical Technology · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsnot available
Fundersnot available
KeywordsAchromatic lensWaveplateRetarderOpticsWavelengthQuarter (Canadian coin)Range (aeronautics)Orientation (vector space)Materials sciencePhysicsGeometryMathematics

Abstract

fetched live from OpenAlex

Achromatic retarders are key components used in optical system design. Various researchers have proposed different combinations of quarter-wave plates that exhibit good achromatic behavior over a broad wavelength range. One of the pioneering works in this area was that of Pancharatnam, who proposed a combination of three wave plates where the fast axis of the first and the last wave plates were parallel, and both quarter-wave and half-wave achromatic retarders were obtained by proper orientation of the central wave plate. In this paper the superachromatic behavior of a quarter-wave retardation system, consisting of three wave plates, is studied in the spectral range from 500–700 nm (i.e., the visible range), centered around the design wavelength of 575 nm. It will be shown that, if the second and third wave plates of the proposed configuration are oriented at 67.5° and 90°, respectively, a retardation variation of as low as ±0.13∘ is observed over the said visible range, indicating the superachromatic nature of the proposed system.

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 score0.006

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)0.0020.000

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 head0.036
GPT teacher head0.275
Teacher spread0.239 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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