Bayesian Optimisation of Non-linear Breit-Wheeler Pair Production in Simulated Laser Experiments
Christopher Arran, Stuart Morris, and Christopher P. Ridgers

TL;DR
This paper models and optimizes the conditions for electron-positron pair production in laser experiments using Bayesian methods, accounting for practical jitters and uncertainties to maximize pair yields.
Contribution
It introduces a Bayesian optimization framework with efficient sampling techniques to identify optimal experimental parameters under realistic jitter conditions.
Findings
Optimal stand-off distance increases with laser jitter.
Best pair production conditions differ from those maximizing gamma-ray energy.
Achieves about 1 pair per 100 electrons with 100 J laser energy despite jitters.
Abstract
High laser intensities enable the production of electron-positron pairs from bright gamma rays passing through strong fields. Potentially the most promising approach for all-optical experiments in the near term uses dense but higher divergence electron beams from laser wakefield acceleration to produce gamma rays through inverse Compton scattering. Achieving many-photon collisions between these gamma rays and the high intensity laser pulse in practice is extremely difficult, however, due to significant shot-to-shot jitter in laser pointing and timing. We model these practical difficulties using simulated Monte-Carlo experiments. By using a more efficient algorithm for sampling infrequent pair production with particle splitting, we enable the exploration of a multi-dimensional parameter space. Using Gaussian Process Regression we then efficiently find optimal conditions for maximising…
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Taxonomy
TopicsLaser-Plasma Interactions and Diagnostics · Laser-Matter Interactions and Applications · Quantum and Classical Electrodynamics
