Coherent control for the spherical symmetric box potential in short and intensive XUV laser fields

TL;DR

This paper demonstrates the use of a genetic algorithm to optimize two-photon transition probabilities in a spherical box potential driven by intense XUV laser pulses, revealing a strong link between electron current dynamics and pulse shaping.

Contribution

It introduces a novel application of genetic algorithms for controlling electron transitions in a spherical potential with intense XUV pulses.

Findings

Optimized pulse shapes significantly influence transition probabilities.

Electron current dynamics are strongly correlated with pulse shape.

Genetic algorithms effectively maximize or minimize state populations.

Abstract

Coherent control calculations are presented for a spherically symmetric box potential for non-resonant two photon transition probabilities. With the help of a genetic algorithm (GA) the population of the excited states are maximized and minimized. The external driving field is a superposition of three intensive extreme ultraviolet (XUV) linearly polarized laser pulses with different frequencies in the femtosecond duration range. We solved the quantum mechanical problem within the dipole approximation. Our investigation clearly shows that the dynamics of the electron current has a strong correlation with the optimized and neutralizing pulse shape.