Unsupervised Anomaly Detection for the PLT Detector with the CMS Collaboration at the LHC

This document presents a concise report and review of the Summer Student Project developed towards applying effective machine learning analysis techniques for the unsupervised search of anomalies in the BRIL-PLT experimental data.