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Record W2360050943

Optical Design of Athermalized Infrared Telephoto Objective Lens

2013· article· en· W2360050943 on OpenAlexaff
Liu Yingyin

Bibliographic record

VenueBandaoti guangdian · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Measurement and Detection Methods
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsInfraredOptical transfer functionOpticsComputer scienceLens (geology)Optical engineeringImage qualityMaterials scienceOptoelectronicsArtificial intelligencePhysicsImage (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Based on the requirements of good image quality,miniaturized dimension and high-temperature adapatability on infrared optical system applied in the battle field environment,and in order to realize real-time detecting and tracking on tank targets by joint transform correlator,an athermalized infrared telephoto objective with the features of compact structure,light weight,good image quality and environmental adaptability was designed.According to the biggest battle distance of tanks for 3km,the parameters of the optical system were defined as:f=200mm,F=3,2ω=3.056°,and its working wavelength was set as 8~12μm.Based on the comparison of current three athermal technologies,passive optical athermalization design was applied for the infrared optical system.It is proved that the modulation transfer function can approach the diffraction limit in the temperature range of-40~70℃.The telephoto objective can be used for tank sight,and it meets practical application requirements of tracking and recognition for tank targets.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.244
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2013
Admission routes1
Has abstractyes

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