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Record W2021283654 · doi:10.1103/physreva.64.013405

Intense-field laser ionization rates in atoms and molecules

2001· article· en· W2021283654 on OpenAlexaff
Steve Hankin, D. M. Villeneuve, P. B. Corkum, D. M. Rayner

Bibliographic record

VenuePhysical Review A · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsIonizationAtomic physicsPhysicsMolar ionization energies of the elementsAtmospheric-pressure laser ionizationField desorptionCoulomb explosionMoleculeIonPhotoionizationAmbient ionizationLaserChemical ionizationOptics

Abstract

fetched live from OpenAlex

We discuss experiments on the ionization of atoms and molecules in intense laser fields, designed to facilitate a comparison of theory and experiment especially in the case of complex molecules. We concentrate on ionization in the regime where single ionization dominates. We describe an approach which allows a direct measurement of ionization efficiencies, absolute ionization rates, and well-defined saturation intensities. In addition, intensities where multiple ionization and Coulomb explosion set in are determined. We also analyze how ion yields are sensitive to any dependence of ionization rates on molecular alignment. Application of these procedures to molecular ionization is demonstrated in detail for the organic molecules benzene and cyclohexane.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.318
Teacher spread0.307 · 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 designSimulation or modeling
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

Citations217
Published2001
Admission routes1
Has abstractyes

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