A general approximator for strong-field ionization rates

TL;DR

This paper introduces GASFIR, a versatile retrieval tool that accurately reconstructs time-resolved strong-field ionization rates from experimental data, advancing attosecond science and lightwave electronics.

Contribution

The paper presents GASFIR, a novel model that retrieves accurate ionization rates from few-cycle laser pulse data using minimal parameters and physical constraints.

Findings

GASFIR accurately reproduces ab initio ionization data.

It enables time-resolved analysis of ionization dynamics.

The model supports applications in attosecond metrology.

Abstract

We address the long-standing problem of determining accurate, time-resolved ionization rates for atoms in strong laser fields, a quantity that is fundamental to attosecond science. We show that it is possible to retrieve sub-optical-cycle dynamics of strong-field ionization from ionization probabilities obtained for a set of few-cycle laser pulses that covers a sufficiently broad parameter space. To this end, we introduce the General Approximator for Strong-Field Ionization Rates (GASFIR), a retrieval tool that uses a few adjustable parameters to accurately reconstruct ab initio data. By imposing only essential physical constraints, our model provides a versatile framework for time-domain investigations of strong-field ionization and the role of ionization dynamics in attosecond metrology and lightwave electronics.