Bayesian optimization of laser wakefield acceleration in the self-modulated regime (SM-LWFA) aiming to produce molybdenum-99 via photonuclear reactions
B. S. Nunes, S. P. Santos, R. P. Nunes, C. Bon\c{t}oiu, M. S., Alva-S\'anchez, R. E. Samad, N. D. Vieira Jr., G. Xia, J. Resta-L\'opez, A., Bonatto

TL;DR
This study employs Bayesian optimization to enhance electron beam energy and charge in self-modulated laser wakefield acceleration, aiming to produce molybdenum-99 for medical isotope applications, using PIC and Monte Carlo simulations.
Contribution
It introduces Bayesian optimization to systematically improve SM-LWFA parameters for higher energy and charge electron beams, facilitating isotope production.
Findings
Optimal configurations yield 14-17 MeV electron energies.
Charges of 600-1300 pC achieved for electrons above 8 MeV.
Preliminary molybdenum-99 yield estimates support potential medical applications.
Abstract
While laser wakefield acceleration (LWFA) in the bubble regime demands ultra-short, high-peak-power laser pulses, operation in the self-modulated regime (SM-LWFA) works with more relaxed pulse conditions, albeit at the cost of lower beam quality. Modern laser systems can deliver pulses with durations of a few tens of femtoseconds and peak powers on the order of a few terawatts, at kHz repetition rates. These systems are well-suited for developing SM-LWFA applications where high average energy and charge are prioritized over beam quality. Such beams could be used to generate high-energy bremsstrahlung photons, capable of triggering photonuclear reactions to produce radioisotopes like molybdenum-99. This isotope decays into technetium-99m, the most widely used medical radioisotope, with over 30 million applications worldwide per year. This work explores the use of Bayesian optimization to…
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Taxonomy
TopicsLaser-Matter Interactions and Applications · Laser Design and Applications · Laser-induced spectroscopy and plasma
