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Record W2045617407 · doi:10.1063/1.1506684

Simulation of pump–probe spectroscopy of a highly-charged diatomic molecule: Role of intermediate charged states and electronic and vibrational excitation in the multiple ionization of Cl2 and strong-field spectroscopy of Cl23+

2002· article· en· W2045617407 on OpenAlexafffund
R. J. Verver, James S. Wright, Misha Ivanov

Bibliographic record

VenueThe Journal of Chemical Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsSteacie Institute for Molecular SciencesCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDiatomic moleculeAtomic physicsIonizationSpectroscopyChemistryExcitationWave packetDissociation (chemistry)IonLaserMoleculePhysicsOptics

Abstract

fetched live from OpenAlex

This paper is a theoretical study of the effect of a pulsed ir laser on a neutral Cl2 molecule, leading to the creation of highly-charged molecular ions. We also develop a new quantum-mechanical model for the ionization of diatomic molecules in the tunneling regime. We consider the effects of the pump pulse duration and also the wavelength of the probe laser on the trication Cl23+ which is metastable, and consider how an experiment could be performed which would lead to the observation of its vibrational spectrum. The treatment considers nuclear wave packet dynamics which begin with vertical ionization from neutral Cl2 to Cl22+, includes dynamics arising from the intermediate charged state Cl22+, and electronic excitation and dissociation from the trication Cl23+. The dynamical simulations of a pump–probe experiment show modulated signals which can be Fourier-transformed to yield vibrational spectra. The quality of the modulated signal changes dramatically at an intermediate (relative to the vibrational period) pump pulse duration (at ca. 50 fs). Analysis of this effect shows how to maximize the probability of observing a simple vibrational spectrum for a highly charged diatomic created in a laser field.

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 score0.056
Threshold uncertainty score0.262

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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

Citations3
Published2002
Admission routes2
Has abstractyes

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