LCLS RF Station Anomaly Candidates, SLAC, Nov 2020 to Dec 2020, Version 1

Dataset · Fri May 27 00:00:00 EDT 2022

DOI:https://doi.org/10.11578/1869296· OSTI ID:1869296

Ratner, Daniel ^[1]; Humble, Ryan ^[2]; Colocho, William ^[3]; Gibbs, Matt ^[3]

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1. SLAC National Accelerator Lab., Menlo Park, CA (United States). Linac Coherent Light Source (LCLS); SLAC
2. Stanford Univ., CA (United States)
3. SLAC National Accelerator Lab., Menlo Park, CA (United States). Linac Coherent Light Source (LCLS)

The data consists of radio-frequency (RF) station process variables (amplitude and amplitude-mean-out-of-tolerance bit) and beam position monitor (BPM) values for about a month of Linac Coherent Light Source (LCLS) time. The data is all from normal conducting hard X-ray operation. The dataset contains roughly 5000 anomaly “candidates.” For each candidate, we include 3.5 minutes of data from the 82 RF stations and ~20 seconds of data from 4 BPMs. We also include several CSV files with additional information and labels for each candidate.

• Research Organization: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Basic Energy Sciences (BES)
• Contributing Organization: LCLS (Linac Coherent Light Source)
• DOE Contract Number: AC02-76SF00515
• OSTI ID: 1869296
• Availability: SLAC Machine Learning Initiative, SLAC Accelerator Directorate
• Country of Publication: United States
• Language: English

Related Subjects

43 PARTICLE ACCELERATORS
97 MATHEMATICS AND COMPUTING
Particle accelerator
X-ray free electron laser
RF station
Fault detection
Anomaly detection