The notebooks in this directory produce the plots and results showed in the teaching demo


Analyze simulated single tracks and train a scikit / keras neural network:
1.) inspect_single_tracks.ipynb

Evaluate the performance of the networks trained in 1.):
2.) eval_single_track_classifier.ipynb

Use the pre-trained networks to analyze a toy data set with eta->pi+pi-g / eta->e+e-g events:
3.) eta_epemg_analysis.ipynb