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Record W2154026455 · doi:10.1109/lpt.2006.882285

Ring Resonator Arrays for Pulse Repetition Rate Multiplication and Shaping

2006· article· en· W2154026455 on OpenAlexaff
Bing Xia, Lawrence R. Chen

Bibliographic record

VenueIEEE Photonics Technology Letters · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsPulse (music)Pulse waveBandwidth-limited pulseResonatorMultiplication (music)OpticsFemtosecond pulse shapingBinary numberComputer scienceCode (set theory)Envelope (radar)PhysicsUltrashort pulseTelecommunicationsMathematicsLaserAcousticsSet (abstract data type)

Abstract

fetched live from OpenAlex

Using numerical simulations, we demonstrate the use of ring resonator arrays (RRAs) for pulse repetition rate multiplication (PRRM) and arbitrary envelope shaping to generate a pair of output pulse trains with arbitrary binary code profiles simultaneously from a single input pulse train. We investigate three configurations of RRAs: MtimesN, 1timesN, and Mtimes1. All can perform PRRM and generate two pulse trains with the required binary code profiles simultaneously; however, the two-dimensional (MtimesN) configuration suffers less waveguide loss. We also show that a nonlinear optical loop mirror can be used to remove the pulse-to-pulse phase variations in the output pulse trains

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 score0.163
Threshold uncertainty score0.846

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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

Citations17
Published2006
Admission routes1
Has abstractyes

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