MétaCan
Menu
Back to cohort
Record W2153886483 · doi:10.1109/lpt.2011.2162827

Single Step Generation of Micro and Radio Wave Signals in a Short Cavity Fiber Laser

2011· article· en· W2153886483 on OpenAlexaff
Udari M. Basnayaka, Xavier Fernando, Xijia Gu

Bibliographic record

VenueIEEE Photonics Technology Letters · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOpticsLaserFiber laserLasing thresholdRadio frequencyRadio over fiberPolarization-maintaining optical fiberSingle-mode optical fiberMaterials scienceLongitudinal modePolarization (electrochemistry)Optical fiberOptoelectronicsPhysicsFiber optic sensorTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

Generation of stable micro or radio waves by frequency down-conversion has always been a challenging but rewarding task in radio over fiber systems. In this letter, a novel method for such a generation using a short-cavity fiber laser is demonstrated. For this purpose, an all-fiber laser is designed to have two stable longitudinal laser modes, each of them having two orthogonal polarization modes. Hence, four microwave signals, two in 1.2 GHz range and the other two in 14 GHz range, and one radio wave signal were generated by beating these lasing modes on a square law detector. Various measurements show high level of stability in generated micro/radio waves because they originate from the single laser cavity. According to the authors' knowledge, this is the first demonstration of the dual longitudinal mode operation of a short-cavity fiber laser for down-conversion from optical frequency directly to radio frequency.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.031
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

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 head0.029
GPT teacher head0.211
Teacher spread0.183 · 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 teacher head, 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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Photonics Technology LettersSame topicAdvanced Fiber Optic SensorsFrench-language works237,207