Evaluation of Machine Learning Algorithms for Low-Energy Physics in Liquid Argon Detectors

Machine learning techniques outperform deterministic algorithms in classifying low-energy physics events, with Convolutional Neural Networks and Transformer-Encoder methods showing superior performance.