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Record W2038515644 · doi:10.1366/000370202760077397

Laser-Induced Breakdown Spectroscopy for Microanalysis Using Submillijoule UV Laser Pulses

2002· article· en· W2038515644 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Spectroscopy · 2002
Typearticle
Languageen
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLaser-induced breakdown spectroscopyLaserSpectroscopyPlasmaMicroanalysisRange (aeronautics)Materials scienceAnalytical Chemistry (journal)Atomic emission spectroscopyEmission spectrumOpticsChemistrySpectral lineInductively coupled plasmaPhysics

Abstract

fetched live from OpenAlex

This paper presents a study of laser-induced breakdown spectroscopy (LIBS) at low energies using KrF laser pulses of only 50–300 μJ. Very small focal spots with diameters of 5 to 20 μm are employed in order to achieve strong plasma emission. The focused intensities were in the range of 1.6 to 150 GW/cm 2 . The evolution of the micro-plasma progresses more rapidly in this energy range compared to conventional LIBS using mJ laser pulses. The optimum delay time for the detection of emission from minor constituent elements in aluminum is between 100 and 360 ns after the laser pulse hits the sample. The corresponding limits of detection are in the range of 2 to 450 ppm and are comparable to experiments that have used much higher laser energies. The amount of ablated material is significantly reduced using low laser energies and typical crater diameters are approximately 15–40 μm.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.238
Teacher spread0.216 · 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