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Record W4408707448 · doi:10.1117/12.3044917

Transient absorption in silicon thin films-based characterization of ultrashort pulses with photon energy above 1.12eV

2025· article· en· W4408707448 on OpenAlexaff
Mayank Kumar, Saadat Mokhtari, Tristan Guay, Adrien Leblanc, Kosta Oubrerie, Sohail A. Jalil, Elissa Haddad, Gaëtan Jargot, Philippe Lassonde, Heide Ibrahim, Giulio Vampa, François Légaré

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsUniversity of OttawaJoint Attosecond Science LaboratoryInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsUltrafast laser spectroscopySiliconTransient (computer programming)Materials scienceAbsorption (acoustics)Ultrashort pulseTwo-photon absorptionCharacterization (materials science)OptoelectronicsPhotonOpticsEnergy (signal processing)PhysicsLaserComputer scienceNanotechnology

Abstract

fetched live from OpenAlex

We report on the capability of the Frequency-resolved optical switching (FROSt) method for characterizing ultrashort visible pulses using silicon (Si) thin films. We demonstrate that FROSt can effectively characterize sub-20 fs visible pulses and those with energy densities less than 1nJ/nm using 500nm thick Si thin films deposited on a sapphire substrate (SOS). The findings demonstrate the potential of FROSt for characterizing low-energy solid-state high harmonics. Additionally, it serves as an ideal method for pulse characterization to enable better control and optimization of ultrashort visible pulses in ultrafast 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: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.440

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 head0.004
GPT teacher head0.196
Teacher spread0.192 · 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
Published2025
Admission routes1
Has abstractyes

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