2011
DOI: 10.1103/physreva.84.053422
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Pulse-shape-dependent strong-field ionization viewed with velocity-map imaging

Abstract: We explore strong field molecular ionization with velocity map imaging of fragment ions produced by dissociation following ionization. Our measurements and ab initio electronic structure calculations allow us to identify various electronic states of the molecular cation populated during ionization, with multiple pathways to individual states highlighted by the pulse shape dependence. In addition, we show that relative populations can be reconstructed from our measurements. The results illustrate how strong fie… Show more

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Cited by 17 publications
(26 citation statements)
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“…The equilibrium geometry of CH 2 BrCl in its ground electronic state is taken from (Rozgonyi &González 2001). The excitation energies for the five lowest excited electronic states of CH 2 BrCl + were determined at the same level of theory as those for the other species (Geißler et al 2011), i,e, using the multireference configuration interaction (MRCI) method implemented in the Molpro program package (Werner et al 2012). The MRCI calculations were based on previous state-averaged complete active space self-consistent field (Roos et al 1980) computations.…”
Section: Calculationsmentioning
confidence: 99%
“…The equilibrium geometry of CH 2 BrCl in its ground electronic state is taken from (Rozgonyi &González 2001). The excitation energies for the five lowest excited electronic states of CH 2 BrCl + were determined at the same level of theory as those for the other species (Geißler et al 2011), i,e, using the multireference configuration interaction (MRCI) method implemented in the Molpro program package (Werner et al 2012). The MRCI calculations were based on previous state-averaged complete active space self-consistent field (Roos et al 1980) computations.…”
Section: Calculationsmentioning
confidence: 99%
“…Although past work has combined strong field pulse shaping with imaging [23][24][25] , and a few previous efforts [26][27][28][29] used VMI for adaptive control, they were exclusively based on raw images, in which the 3D momentum distributions were projected onto the two-dimensional (2D) detector plane. The azimuthal ambiguity inherent in such raw, 2D images complicated the extraction of a robust feedback signal 26 .…”
Section: Experimentmentioning
confidence: 99%
“…Thus, VMI provides angle-resolved kinetic energy release data for a given ion species at a rapid enough pace to be a candidate for use as closed-loop feedback. In fact, imaging studies of pulse-shape-dependent strong-field processes have appeared, [18][19][20][21] and some initial image-based feedback techniques have already been used by various groups. [21][22][23][24] In these initial efforts, the raw two-dimensional (2D) image was used as feedback.…”
Section: Introductionmentioning
confidence: 99%