16 citations · 24 across the 6 of their papers we have counts for
6 papers
Autonomous operation of the DIAG0 diagnostic line for 6D phase-space monitoring at LCLS-II
Ryan Roussel, Gopika Bhardwaj, Dylan Kennedy +7
Characterizing the full 6-dimensional phase-space distribution of beams from the LCLS-II photoinjector is essential for understanding and optimizing downstream accelerator performa…
Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source
Jia Liang, William Colocho, Franz-Josef Decker +7
Anomalies in radio-frequency (RF) stations can result in unplanned downtime and performance degradation in linear accelerators such as SLAC's Linac Coherent Light Source (LCLS). De…
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source
Ryan Humble, William Colocho, Finn O'Shea +2
Significant advances in utilizing deep learning for anomaly detection have been made in recent years. However, these methods largely assume the existence of a normal training set (…
On Ultrafast X-ray Methods for Magnetism
Rajan Plumley, Sathya Chitturi, Cheng Peng +36
With the introduction of x-ray free electron laser sources around the world, new scientific approaches for visualizing matter at fundamental length and time-scales have become poss…
Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives
Sara A. Miskovich, Willie Neiswanger, William Colocho +7
Although beam emittance is critical for the performance of high-brightness accelerators, optimization is often time limited as emittance calculations, commonly done via quadrupole…
Beam-based RF Station Fault Identification at the SLAC Linac Coherent Light Source
Ryan Humble, Finn H. O'Shea, William Colocho +4
Accelerators produce too many signals for a small operations team to monitor in real time. In addition, many of these signals are only interpretable by subject matter experts with…