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Record W2921261820 · doi:10.1117/12.2506909

Large mode area tapered fibers for generation of high energy ultrashort pulses from nonlinear compression

2019· article· en· W2921261820 on OpenAlexaff
Vincent Roy, Louis Desbiens, Mathieu Boivin, Yves Taillon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsInstitut National d'Optique
Fundersnot available
KeywordsMaterials scienceOpticsUltrashort pulseNonlinear opticsCompression (physics)Pulse compressionNonlinear systemOptical fiberOptoelectronicsLaserPhysicsComputer scienceComposite materialTelecommunications

Abstract

fetched live from OpenAlex

Nonlinear compression for generation of high energy ultrashort pulses using an Yb-doped large mode area tapered fiber is reported. Suppression of higher-order modes is enhanced compared with large mode area stepindex fibers owing to the depressed-index inner cladding and confined doping. Average power and pulse energy exceeding respectively 90 W and 50 μJ were achieved after multipart fiber amplifier stages, with final-stage amplifier gain larger than 40 dB. Pulse compression using a chirped volume Bragg grating later yields durations as short as 1 ps and peak powers exceeding 10 MW, with near diffraction-limited output. Pulse-on-demand and burst modes are straightforward, given the master oscillator/power amplifier scheme, with pulse generation first initiated from direct current modulation of a seed laser diode while subsequent external phase modulation and spectral selection yield pulse trains/bursts following digitized arbitrary waveforms. The proposed scheme is considered to be relevant for laser materials processing.

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 score0.343
Threshold uncertainty score0.450

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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
Published2019
Admission routes1
Has abstractyes

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