2022
DOI: 10.1039/d2cp01114j
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Predicting Coulomb explosion fragment angular distributions using molecular ground-state vibrational motion

Abstract: The outcomes of laser-induced Coulomb explosions can be predicted and matched to experiments using the computed vibrational motion of a target molecule.

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Cited by 13 publications
(11 citation statements)
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“…The velocity (and momentum) information encoded in the fragment ion images helps in unravelling this complexity, but the present multi-mass imaging measurements carry time and position of arrival (at the detector) information for all fragments which allows identification of correlated product-pairs (or, at least in principle, even triplets) via analysis of 2-D (and 3-D) covariancemap images. 41,42 Covariance-map imaging methods have already been applied in analysing the CE of CF 3 I molecules following electron impact at collision energies in the range 20-100 eV 43,44 and are here used to provide further insights into dominant two-body and some of the more probable three-body SFI-induced fragmentations of CF 3 I Z+ cations.…”
Section: Introductionmentioning
confidence: 99%
“…The velocity (and momentum) information encoded in the fragment ion images helps in unravelling this complexity, but the present multi-mass imaging measurements carry time and position of arrival (at the detector) information for all fragments which allows identification of correlated product-pairs (or, at least in principle, even triplets) via analysis of 2-D (and 3-D) covariancemap images. 41,42 Covariance-map imaging methods have already been applied in analysing the CE of CF 3 I molecules following electron impact at collision energies in the range 20-100 eV 43,44 and are here used to provide further insights into dominant two-body and some of the more probable three-body SFI-induced fragmentations of CF 3 I Z+ cations.…”
Section: Introductionmentioning
confidence: 99%
“…This analysis method has been described in a number of previous articles. 20–25,33 Briefly, the covariance between two variables, A and B , is defined as the product of their deviations from their mean values:cov( A , B ) = 〈( A − 〈 A 〉) × ( B − 〈 B 〉)〉 = 〈 AB 〉 − 〈 A 〉〈 B 〉where 〈⋯〉 indicates a mean value. For the purposes of applying the technique to ion images, A and B are the ion velocities and the signal for ion A is rotated relative to the position of ion B .…”
Section: Methodsmentioning
confidence: 99%
“…This analysis method has been described in a number of previous articles. [20][21][22][23][24][25]33 Briefly, the covariance between two variables, A and B, is defined as the product of their deviations from their mean values:…”
Section: Recoil Frame Covariance Analysismentioning
confidence: 99%
“…This analysis method has been described in a number of previous articles. [18][19][20][21][22][23]31 Briefly, the covariance between two variables, A and B, is defined as the product of their deviations from their mean values:…”
Section: Recoil Frame Covariance Analysismentioning
confidence: 99%