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Record W2327294054 · doi:10.1139/p2012-051

A reduced-geometry independent particle model calculation of high harmonic generation from closed-shell diatomic molecules

2012· article· en· W2327294054 on OpenAlexaffvenue
Mitsuko Murakami, Tom Kirchner, Marko Horbatsch

Bibliographic record

VenueCanadian Journal of Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsYork University
Fundersnot available
KeywordsPhysicsDiatomic moleculeHamiltonian (control theory)Atomic physicsAtomic orbitalMolecular orbitalSpectral lineMolecular orbital theoryDipoleSlater-type orbitalSemiclassical physicsMolecular physicsElectronQuantum mechanicsMolecule

Abstract

fetched live from OpenAlex

We propose a simple model to calculate high harmonic spectra from closed-shell diatomic molecules based on the time-dependent Schrödinger equation. Quasi-Coulomb potentials are used to represent the two-center geometry of a diatomic molecule in two dimensions. A few outer occupied molecular orbitals are evolved independently using a single-electron Hamiltonian, and the harmonic spectra are evaluated from a coherent sum of single-electron dipole accelerations. According to this independent particle model, harmonic spectra from individual orbitals follow the semiclassical cutoff law, but their relative strengths vary depending on molecular orientations. When the contributions from different orbitals are of comparable strength, their net spectrum extends to the inner-orbital cutoffs, and in some cases acquires a local minimum where harmonic spectra from different molecular orbitals interfere destructively because of their phase difference.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.247
Teacher spread0.224 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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