Literature DB >> 25430096

Incorporating real time velocity map image reconstruction into closed-loop coherent control.

C E Rallis1, T G Burwitz1, P R Andrews1, M Zohrabi2, R Averin1, S De2, B Bergues3, Bethany Jochim1, A V Voznyuk1, Neal Gregerson1, B Gaire2, I Znakovskaya3, J McKenna2, K D Carnes2, M F Kling2, I Ben-Itzhak2, E Wells1.   

Abstract

We report techniques developed to utilize three-dimensional momentum information as feedback in adaptive femtosecond control of molecular dynamics. Velocity map imaging is used to obtain the three-dimensional momentum map of the dissociating ions following interaction with a shaped intense ultrafast laser pulse. In order to recover robust feedback information, however, the two-dimensional momentum projection from the detector must be inverted to reconstruct the full three-dimensional momentum of the photofragments. These methods are typically slow or require manual inputs and are therefore accomplished offline after the images have been obtained. Using an algorithm based upon an "onion-peeling" (also known as "back projection") method, we are able to invert 1040 × 1054 pixel images in under 1 s. This rapid inversion allows the full photofragment momentum to be used as feedback in a closed-loop adaptive control scheme, in which a genetic algorithm tailors an ultrafast laser pulse to optimize a specific outcome. Examples of three-dimensional velocity map image based control applied to strong-field dissociation of CO and O2 are presented.

Entities:  

Year:  2014        PMID: 25430096     DOI: 10.1063/1.4899267

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  The importance of Rydberg orbitals in dissociative ionization of small hydrocarbon molecules in intense laser fields.

Authors:  Bethany Jochim; R Siemering; M Zohrabi; O Voznyuk; J B Mahowald; D G Schmitz; K J Betsch; Ben Berry; T Severt; Nora G Kling; T G Burwitz; K D Carnes; M F Kling; I Ben-Itzhak; E Wells; R de Vivie-Riedle
Journal:  Sci Rep       Date:  2017-06-30       Impact factor: 4.379

  1 in total

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