Pith. sign in

REVIEW 1 cited by

Influence of the Coulomb potential on above-threshold ionization: a quantum-orbit analysis beyond the strong-field approximation

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1506.03646 v1 pith:OVRJGJQD submitted 2015-06-11 physics.atom-ph

classification physics.atom-ph
keywords coulombpotentialfeaturesabove-thresholdanalysisapproximationelectronenergies
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We perform a detailed analysis of how the interplay between the residual binding potential and a strong laser field influences above-threshold ionization (ATI), employing a semi-analytical, Coulomb-corrected strong-field approximation (SFA) in which the Coulomb potential is incorporated in the electron propagation in the continuum. We find that the Coulomb interaction lifts the degeneracy of some SFA trajectories, and we identify a set of orbits which, for high enough photoelectron energies, may be associated with rescattering. Furthermore, by performing a direct comparison with the standard SFA, we show that several features in the ATI spectra can be traced back to the influence of the Coulomb potential on different electron trajectories. These features include a decrease in the contrast, a shift towards lower energies in the interference substructure, and an overall increase in the photoelectron yield. All features encountered exhibit a very good agreement with the \emph{ab initio} solution of the time-dependent Schr\"odinger equation.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields

    physics.atom-ph 2026-03 conditional novelty 6.5 of 10

    Unsupervised PINNs with windowed complex-time outputs solve direct-ATI saddle-point equations across tailored fields, matching Newton roots and producing symmetry-correct photoelectron spectra.

Pith tools