Search Results for author:
Found 4 papers, 0 papers with code
Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators
To avoid these faults, we apply anomaly detection techniques to predict any unusual behavior and perform preemptive actions to improve the total availability of particle accelerators.
Multi-module based CVAE to predict HVCM faults in the SNS accelerator
We present a multi-module framework based on Conditional Variational Autoencoder (CVAE) to detect anomalies in the power signals coming from multiple High Voltage Converter Modulators (HVCMs).
A survey of machine learning-based physics event generation
Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions.
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
We apply generative adversarial network (GAN) technology to build an event generator that simulates particle production in electron-proton scattering that is free of theoretical assumptions about underlying particle dynamics.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
