LCLS RF Station Phase Anomaly Candidate Dataset

Dataset · Wed May 21 04:00:00 EDT 2025

DOI:https://doi.org/10.71929/2584368· OSTI ID:2584368

Liang, Jia ^[1]; Colocho, William ^[2]; Decker, Franz-Josef ^[2]; Humble, Ryan ^[3]; Morris, Ben ^[2]; O'Shea, Finn H. ^[2]; Steele, David A. ^[2]; Zhang, Zhe ^[2]; Darve, Eric ^[1]; Ratner, Daniel ^[2]

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1. Stanford Univ., CA (United States). Institute for Computational and Mathematical Engineering
2. SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
3. Cerebras Systems, Sunnyvale, CA (United States)

A public anomaly detection dataset constructed from RF station faults for phase at SLAC's LCLS (Linac Coherent Light Source). We have compiled a dataset of the RF station diagnostic phase data and the beam-position monitor (BPM) signals, alongside the hand labels, for a labeled study period. The dataset consists of two HDF5 files (one for train and one for test) containing the raw data, two CSV files containing information about the candidates. The CSV file for the test dataset also contains the label.

• Research Organization: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: AC02-76SF00515
• OSTI ID: 2584368
• Country of Publication: United States
• Language: English