DOE OSTI · 3025669
Optimized matching conditions for self-guided laser wakefield accelerators
Abstract
We revisit the matching conditions for self-guided laser pulse propagation in plasma and refine their formulation to maximize the energy of electrons produced via laser wakefield acceleration. Bayesian optimization, combined with particle-in-cell simulations carried out in a quasi-three-dimensional geometry and a Lorentz-boosted frame, is employed. The optimization identifies the maximum electron energy that a self-guided laser wakefield accelerator, driven by a laser of a given energy, can produce, together with the corresponding acceleration distance. Our results further demonstrate that electrons with energies close to the maximum value can be obtained across a relatively wide range of input parameters and without the need for their precise tuning. This provides substantial flexibility for experimental implementation and significantly relaxes the operational constraints associated with self-guided laser wakefield accelerators.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Valenta, P. [The Extreme Light Infrastructure, Dolní Břežany (Czech Republic)] (ORCID:0000000310673762), Miller, K. G. [Univ. of Rochester, NY (United States). Lab. for Laser Energetics] (ORCID:0000000348269001), Russell, B. K. [Princeton Univ., NJ (United States)] (ORCID:0000000300112419), Lamač, M. [The Extreme Light Infrastructure, Dolní Břežany (Czech Republic)] (ORCID:0000000192186073), Jech, M. [The Extreme Light Infrastructure, Dolní Břežany (Czech Republic)] (ORCID:0000000260876771), Grittani, G. M. [The Extreme Light Infrastructure, Dolní Břežany (Czech Republic)] (ORCID:000000034394854X), Bulanov, S. V. [The Extreme Light Infrastructure, Dolní Břežany (Czech Republic)] (ORCID:0000000183050289). 2026-03-24. Optimized matching conditions for self-guided laser wakefield accelerators. https://doi.org/10.1088/2632-2153%2Fae51e0
Cite the original work for its findings. Save a collection to share your selection of sources.