Please use this identifier to cite or link to this item: http://hdl.handle.net/11401/76659
Title: Molecular Strong Field Ionization viewed with Photoelectron Velocity Map Imaging
Authors: Weinacht, Thomas C.
Sandor, Peter
Department of Physics
Schneble, Dominik A.
Dawber, Matthew
Bergeman, Thomas
Baumert, Thomas.
Issue Date: 1-Dec-2016
Publisher: The Graduate School, Stony Brook University: Stony Brook, NY.
Abstract: In this thesis, work is presented on molecular strong-field ionization, during which an electron is removed from polyatomic molecules in the presence of strong laser fields. This is a process which is the basis of a number of experimental techniques to uncover electronic dynamics in atoms and molecules on the femtosecond and attosecond timescale. ’Strong’ refers to an electric field strength which leads to a response from the system which can not be modeled perturbatively. These fields can be easily produced in the focus of femtosecond laser radiation, as is done in this work. With the use of velocity map imaging of the photoelectron in coincidence with the fragment ion, multiple ionization–dissociation pathways can be distinguished. It is shown that as opposed to early attempts to model the process, multiple low-lying states are populated in the ion, and also the signatures of multielectron dynamics are revealed. By changing the laser pulse duration from 30 fs to below 10 fs, control is demonstrated over which quantum states of the ion are populated. It is also shown that for pulses shorter than 10 fs (which is a timescale below the shortest vibrational period in molecules), ionization pathways that involve motion of the nuclei are almost completely shut off. Finally, the origin of electrons with <1 meV kinetic energy is discussed. A two-step model is proposed for creating the electrons: the first step is population transfer to high-lying excited states of the neutral molecule by the laser field; the second step is ionization. Different ionization mechanisms are examined and their viability is checked against available data.
Description: 85 pg.
URI: http://hdl.handle.net/11401/76659
Appears in Collections:Stony Brook Theses and Dissertations Collection

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