Deep Neural Nework Synthetic Diagnostic Tuning & Testing Code
This repository contains all of the code used to tune and test the joint predictor DNN -
\beta
-VAE architecture as a synthetic diagnostic of experimental data, predicting proton energy spectra from laser inputs and backreflection diagnostic moments.
Repository content
Below are descriptions of each file or folder in this repository
TrainTestSplit.pkl
This file contains the randomly split data (80% for training and 20% for testing)
synthdiag/
This folder contains NN classes and functions used throughout, with a further 'Readme.md' inside
Ensemble/
Contains a trained version of the SDE model, which is opened by 'SDE Performance plots & PFI.ipynb'
SDE Performance plots & PFI.ipynb
An example running of the SDE can be found in 'SDE Performance plots & PFI.ipynb', with example flux-sorted, CE & Flux prediction, and PFI plots
PFI results.pkl
This file contains the results of the PFI test. Stored as the test takes a while to run.