Supplementary Materials for WEPA101

This archive contains data and supporting material for submission WEPA101 to IPAC23 proceedings.

Subdirectory 03_warpx_training/ contains material for the first example of the article, a laser-plasma accelerator stage. Within 03_warpx_training/ are the two simulation setups, 17_1pC_2stage/ and 19_1_pC_2_beam_center_beam2_pz/. The first contains the necessary material to compute the WarpX simulation we desire to model.  The second contains the necessary material to generate the training data using WarpX, as well as Jupyter notebooks for creating and training the neural networks

Subdirectory iota_channel/ contains material for generating ImpactX simulations of the focusing channel based on the IOTA nonlinear lattice as well as creating and training neural networks to learn the dynamics of the focusing channel based on the IOTA lattice

Subdirectory machine_learning_utilities/ contains helper functions for generating, training, and analyzing neural networks

See the readme.md for more information