Reconciling vacuum laser acceleration theory and experiment

TL;DR

This paper critically examines the classical theory of vacuum laser acceleration, analyzing experimental data and emphasizing the importance of precise laser parameter characterization for accurate predictions and potential discovery science.

Contribution

It identifies key factors like pulse profile, laser parameters, and initial electron conditions that influence the agreement between theory and experiment in vacuum laser acceleration.

Findings

Correct modeling of pulse profile and laser parameters is crucial.

Electron energy outcomes depend heavily on initial conditions and phase.

Focal spot size fluctuations impact electron spectrum accuracy.

Abstract

The classical theory of single-electron dynamics in focused laser pulses is the foundation of both the relativistic ponderomotive force (RPF), which in turn underlies models of laser-collective-plasma dynamics, and the discovery of novel strong-field radiation dynamics. Despite this bedrock importance, consensus eludes the community as to whether acceleration of single electrons in vacuum has been observed in experiment. We analyze the experiment of Malka et al. (1998) with respect to several features that were neglected in modeling and that can restore consistency between theory predictions and experimental data. The right or wrong pulse profile function, laser parameters, or initial electron distribution each can make or break the agreement between predictions and data. The laser phase at which the electron's interaction with the pulse begins has a large effect, explaining why much larger energies are achieved by electrons liberated in the focal region by photoionization from high-Z atoms and by electrons ejected from a plasma mirror. Finally we estimate the error in a typical electron spectrum arising from fluctuating focal spot size in state-of-the-art ultra-relativistic laser facilities. Our results emphasize the importance of thoroughly characterizing laser parameters in order to achieve quantitatively accurate predictions and the precision required for discovery science.