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Record W2792564182 · doi:10.1088/1361-6455/aaae2f

Near-field imaging for single-shot waveform measurements

2018· article· en· W2792564182 on OpenAlexaff
T. J. Hammond, Aleksey Korobenko, A. Naumov, D. M. Villeneuve, P. B. Corkum, Dong Hyuk Ko

Bibliographic record

VenueJournal of Physics B Atomic Molecular and Optical Physics · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsNational Research Council CanadaJoint Attosecond Science LaboratoryUniversity of Ottawa
FundersAir Force Office of Scientific ResearchArmy Research OfficeMultidisciplinary University Research InitiativeU.S. Air Force
KeywordsSingle shotWaveformShot (pellet)Field (mathematics)Computer sciencePhysicsOpticsMaterials scienceMathematicsTelecommunications

Abstract

fetched live from OpenAlex

Abstract The accurate measurement of ultrashort pulses is necessary to optimize pulse compression for nonlinear optics and strong-field physics. Additionally, field-sensitive time-domain techniques enable measuring femtosecond and sub-femtosecond dynamics. In this paper, we introduce a single-shot measurement to characterize few-cycle fields. This polarization-sensitive time-domain measurement can retrieve the waveform of pulses shorter than two-cycles in duration with a temporal window of hundreds of femtoseconds. We measure how the field changes after propagation through dispersive optics, and we measure the sub-femtosecond phase shift imposed by the nonlinear intensity dependent response of a dielectric. Real-time field measurements will benefit low repetition rate systems used in strong-field physics and attosecond science, while the large temporal window compliments Fourier transform spectroscopy.

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: none
Teacher disagreement score0.671
Threshold uncertainty score0.568

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 head0.028
GPT teacher head0.293
Teacher spread0.266 · 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

Citations14
Published2018
Admission routes1
Has abstractyes

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