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Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization
Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization
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Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization
Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization

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Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization
Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization
Journal Article

Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization

2024
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Overview
Recollision processes are fundamental to strong-field physics and attoscience, thus models connecting recolliding trajectories to quantum amplitudes are a crucial part in furthering understanding of these processes. We report developments in the semiclassical path-integral-based Coulomb quantum-orbit strong-field approximation model for strong-field ionization by including an additional phase known as Maslov’s phase and implementing a new solution strategy via Monte-Carlo-style sampling of the initial momenta. In doing so, we obtain exceptional agreement with solutions to the time-dependent Schrödinger equation for hydrogen, helium, and argon. We provide an in-depth analysis of the resulting photoelectron momentum distributions for these targets, facilitated by the quantum-orbits arising from the solutions to the saddle-point equations. The analysis yields a new class of rescattered trajectories that includes the well-known laser-driven long and short trajectories, along with novel Coulomb-driven rescattered trajectories. By virtue of the precision of the model, it opens the door to detailed investigations of a plethora of strong-field phenomena such as photoelectron holography, laser-induced electron diffraction and high-order above threshold ionization.