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Record W3043949200

Multi-octave mid-infrared supercontinuum generation in a small-core step-index chalcogenide fiber

2019· article· en· W3043949200 on OpenAlexaff
Yi Yu, Bin Zhang, Xin Gai, Chengcheng Zhai, Sisheng Qi, Wei Guo, Zhiyong Yang, Rongping Wang, Duk‐Yong Choi, Steve Madden, Barry Luther‐Davies

Bibliographic record

VenueANU Open Research (Australian National University) · 2019
Typearticle
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsMinistry of Natural Resources and Forestry
Fundersnot available
KeywordsSupercontinuumOctave (electronics)ChalcogenideCore (optical fiber)Materials scienceInfraredPhotonic-crystal fiberFiberOpticsOptical fiberOptoelectronicsPhysicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

Recently mid-infrared (MIR) supercontinuum (SC) generation has increasingly become a hot research topic as MIR SC sources should provide both broad bandwidth and high brightness, which is essential for applications such as micro-spectroscopy. Ideally for this application, the source should cover most of the characteristic absorption bands used to distinguish different biological materials and this means that the range from at least 2.5 µm to around 10 µm (1000 cm−1 to 4000 cm−1) is necessary with high average power. In this abstract, we report the generation of MIR SC spanning from 1.5 µm to 10 µm in a robust small-core step-index chalcogenide fiber at a peak pump power of ~3768 W, which to our knowledge, is the furthest spectrum into the MIR generated in chalcogenides with a relatively low peak pump power.

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 score0.001
Threshold uncertainty score0.002

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)0.0000.000

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 head0.155
GPT teacher head0.318
Teacher spread0.163 · 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
Published2019
Admission routes1
Has abstractyes

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Same venueANU Open Research (Australian National University)Same topicPhotonic Crystal and Fiber OpticsFrench-language works237,207