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Record W2099846331 · doi:10.1117/12.519768

Scaling to millijoule energies for laser-induced breakdown spectroscopy of water samples

2003· article· en· W2099846331 on OpenAlexaff
M.T. Taschuk, I. Cravetchi, Ying Y. Tsui, R. Fedosejevs

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Typearticle
Languageen
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLaser-induced breakdown spectroscopyDetection limitLaserSpectroscopyMaterials scienceAnalytical Chemistry (journal)OpticsPlasma diagnosticsPlasmaEmission spectrumAtomic physicsChemistrySpectral linePhysicsNuclear physics

Abstract

fetched live from OpenAlex

The capabilities of laser-induced breakdown spectroscopy (LIBS) for analysis of water samples with low energy laser pulses was investigated using 355 nm, 10 ns pulses with energies from 3.5 to 100 mJ. In order to optimize the detection limit, the spatial and temporal dependence of the line emission from a sodium solution water jet target in air has been measured, allowing the identification of optimum gating time and observation position for sodium. Careful characterization of the background noise sources in the LIBS detection system has been undertaken, including the continuum emission from the plasma, dark current in the detector array and electron emission noise in the image intensifier. The energy dependence of the limit of detection for sodium in water has been investigated. Single shot detection limits for sodium have been measured ranging from 2 ppm to 200 ppm for laser pulse energies of 100 mJ to 3.5 mJ respectively. For aluminium, the detection limits are over an order of magnitude poorer than for sodium.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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.

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

Citations1
Published2003
Admission routes1
Has abstractyes

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