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Real-Time Evolution of Passive Free-Space Cavity Solitons

2023· article· en· W4386427749 on OpenAlexafffund
Philipp Sulzer, Maximilian Högner, Alexander Hertlein, Johannes Schmuck, Christina Höfer, Arthur K. Mills, Ioachim Pupeza, David J. Jones

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsUniversity of British Columbia
FundersCanada First Research Excellence Fund
KeywordsPhysicsSolitonJitterResonatorOpticsOscilloscopeFiber laserNoise (video)Parameter spaceLaserNonlinear systemQuantum mechanicsTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

The study of dissipative cavity solitons is an extremely active area of research that is primarily focussed on mode-locked (active) and passive waveguide resonators - such as fiber- and microresonators [1]. Recently, a free-space enhancement cavity (EC) has been demonstrated to support temporal solitons of 37-fs duration and hundreds of Watts intracavity power [2]. In this work we employ the dispersive Fourier transform technique (DFT) [3] to track the shot-to-shot evolution of the soliton inside an EC at MHz repetition rates in real-time. We stretch the soliton pulses from a free-space cavity in 2.5 km of single mode fiber and record the resulting spectra with a fast photoreceiver and oscilloscope. Equipped with this tool and extensive numerical simulations, we examine the build-up and destruction of (multiple) EC solitons as well as the attraction and repulsion between these pulses and with the driving field. Additionally, we explore the equilibria leading to bound states and a strong suppression of pump perturbations (in the form of timing jitter and relative intensity noise).

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.322

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 head0.007
GPT teacher head0.241
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 designTheoretical or conceptual
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
Published2023
Admission routes2
Has abstractyes

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