Dataset for Resonant Anomaly Detection

A dataset used for training and testing the autoencoder (AE) and Classification Without Labels (CWoLa) techniques for resonant anomaly detection.

Data and Resources

Cite this as

Jack H. Collins, Pablo Martín-Ramiro, Benjamin Nachman, David Shih (2024). Dataset: Dataset for Resonant Anomaly Detection. https://doi.org/10.57702/v7jh96m0

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Jack H. Collins
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Pablo Martín-Ramiro
Benjamin Nachman
David Shih