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Measuring the deterministic character of laser damage of dielectrics in ultrashort pulsed regime

2009· article· en· W2025132636 on OpenAlexaff
N. Sanner, O. Utéza, M. Sentís, Philippe Lassonde, François Légaré, J. C. Kieffer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsFluenceLaserMaterials scienceFemtosecondOpticsAblationPhysics

Abstract

fetched live from OpenAlex

In this work, the authors propose a direct and quantitative measurement of the deterministic character of femtosecond laser-induced damage in fused silica. For pulses ranging from 7 fs to 450 fs, and with combined experimental procedures enabling to measure both the laser-induced damage and ablation thresholds, the paper presents an experimental measurement of the determinism strength for material damaging, corresponding to the transition slope of the damage probability curve as a function of laser fluence. All the experiments have been done on fused silica (Suprasil) and with a similar damage setup and diagnostics, and beam parameters (single-shot regime, beam waist ~5-10 mum, linear polarization) to ensure a reliable comparison. The results indicate that the laser damage occurrence is more deterministic below 30 fs, associated with a better "photon efficiency" for material removal . These investigations also provide a physical insight and control over important laser processes parameters like damage/ablation threshold fluence, crater shape, and extension of heat-affected zone.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.014
GPT teacher head0.213
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2009
Admission routes1
Has abstractyes

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