This repository contains research code that explores the use of machine learning methods to classify AT-TPC events based on the product of the reaction. This work was done using data from Argon 46 experiments.

See Machine Learning Methods for Track Classification in the AT-TPC.

• pytpc (found here)
• click
• pandas
• numpy
• tensorflow<2
• matplotlib
• h5py
• pyyaml
• scipy
• scikit-learn

The following shows how to run the CNN training script. You can pass the --help flag to see all available options in the command-line interface.

python cnn/train.py

You should make sure that the repository's root directory has been added to the Python path in order to properly run the scripts.