Optimal use of time-dependent probability density data to extract potential-energy surfaces

Lukas Kurtz, Herschel Rabitz, Regina De Vivie-Riedle

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

An overview is given on results that improve and extend a recently suggested procedure to extract potential-energy surfaces (PES) from the emerging experimentally observable probability density ψ(x,t)-2 data. An easy to implement regularization scheme is introduced, which increases the accuracy of the computed PES without loss of numerical stability. Furthermore, an optimal reconstruction method is presented which combines data from different measurements.

Original languageEnglish (US)
Article number032514
Pages (from-to)1-11
Number of pages11
JournalPhysical Review A - Atomic, Molecular, and Optical Physics
Volume65
Issue number3
DOIs
StatePublished - Mar 2002

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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