10 citations · 15 across the 5 of their papers we have counts for
5 papers
Simulation Design for Velocity-Controlled Spatio-Temporal Drivers in Laser Wakefield Acceleration
Chiara Badiali, Rafael Almeida, Thales Silva +1
Velocity-controlled spatio-temporal (ST) laser drivers offer a route to tailoring laser-plasma interactions by allowing the velocity of the intensity peak to be controlled independ…
Plasma Accelerator For Decaying Particles
Chiara Badiali, Rafael Almeida, Bernardo Malaca +3
We introduce a plasma wakefield acceleration scheme capable of boosting initially subrelativistic particles to relativistic velocities within millimeter-scale distances. A sublumin…
Neural network sampling of Bethe-Heitler process in particle-in-cell codes
Óscar Amaro, Chiara Badiali, Bertrand Martinez
This study uses neural networks to improve Monte Carlo (MC) implementations of the Bethe-Heitler process in Particle-In-Cell (PIC) codes. We provide a neural network that is as acc…
Machine Learning-based models in particle-in-cell codes for advanced physics extensions
Chiara Badiali, Pablo J. Bilbao, Fábio Cruz +1
In this paper we propose a methodology for the efficient implementation of Machine Learning (ML)-based methods in particle-in-cell (PIC) codes, with a focus on Monte-Carlo or stati…
Efficiency Parameterization with Neural Networks
C. Badiali, F. A. Di Bello, G. Frattari +4
Multidimensional efficiency maps are commonly used in high energy physics experiments to mitigate the limitations in the generation of large samples of simulated events. Binned mul…