This project applies a fully unsupervised pipeline to LUX-ZEPLIN (LZ) waveform data, producing embeddings where clusters align with physical and detector-driven populations.
The blog post walks through the workflow and results: Unsupervised Learning for Anomalous LZ Waveform Data.