7 citations · 8 across the 4 of their papers we have counts for
4 papers
Adaptive Latent Space Tuning for Non-Stationary Distributions
Alexander Scheinker, Frederick Cropp, Sergio Paiagua +1
Powerful deep learning tools, such as convolutional neural networks (CNN), are able to learn the input-output relationships of large complicated systems directly from data. Encoder…
Adaptive deep learning for time-varying systems with hidden parameters: Predicting changing input beam distributions of compact particle accelerators
Alexander Scheinker, Frederick Cropp, Sergio Paiagua +1
Machine learning (ML) tools such as encoder-decoder deep convolutional neural networks (CNN) are able to extract relationships between inputs and outputs of large complex systems d…
Analysis of Skew Quadrupole Compensation in RF-Photoinjectors
P. Denham, F. Cropp, P. Musumeci
In this paper, we present a detailed analysis of the effects of quadrupole components in radiofrequency (RF) photoinjectors, which could occur either in the RF cavity or in the gun…
Mapping Photocathode Quantum Efficiency with Ghost Imaging
K. Kabra, S. Li, F. Cropp +3
Measuring the quantum efficiency (QE) map of a photocathode injector typically requires laser scanning, an invasive operation that involves modifying the injector laser focus and r…