-
16:45
Classification and Prediction of Superconducting Magnet Quenches
-
Joshua Curtis-Einstein
(RadiaSoft, LLC)
-
16:47
Beam Loss Disentangling Model Hyperparameter Tuning Methods
-
Isaiah Jones
(Northwestern University)
-
16:49
Graph Embeddings for CEBAF Operations: Progress and Future Plans
-
Chris Tennant
(Jefferson Laboratory)
-
16:51
Emittance Measurement Speedup with Machine Learning at the Coherent electron Cooling Experiment at RHIC
-
Weijian Lin
(Cornell Univ.)
-
16:53
Machine Learning for Beam Emittance Measurement and Aberration Correction of an Electron Microscope
-
Desheng Ma
(member@cornell.edu;alum@cornell.edu;student@cornell.edu)
-
16:55
Enhancing UED temporal resolution with time-stamping virtual diagnostics
-
FREDERICK CROPP
(UCLA)
-
16:57
Analysis and Visualisation of Transverse beam properties at the European XFEL
-
Raimund Kammering
(Deutsches Elektronen-Synchrotron DESY)
-
16:59
Muon monitor signal to predict NuMI beam parameters and horn current by applying Machine Learning techniques
-
Don Athula Wickremasinghe
-
17:01
Relating Initial Distribution to Beam Loss on the Front End of a Heavy-Ion Linac Using Machine Learning
-
Anthony Tran
(student@msu.edu;member@msu.edu)
-
17:03
Machine learning-based surrogate model construction for optics matching at the European XFEL
-
Zihan Zhu
(DESY)
-
17:05
An Efficient Classifier-Based Surrogate Assisted Evolutionary Algorithm
-
Christopher Pierce
(member@cornell.edu;alum@cornell.edu;student@cornell.edu)
-
17:07
Image Segmentation for Automated Sample Alignment in Neutron Scattering Experiments
-
M. Henderson
(RadiaSoft, LLC)
-
17:09
Optimization of dynamic aperture for the Electron-Ion Collider
-
Daniel Marx
-
17:11
BPM measurement prediction based on HOM signals using Machine Learning
-
Jorge Diaz Cruz
(University of New Mexico)
-
17:13
Updates on the surrogate model design for MUED
-
Salvador Sosa
(UNM)
-
17:15
Prospects for Machine Learning and Pulse Shaping in the Scorpius Accelerator
-
E.R. Scott
(NNSS)
-
17:17
Exploring and Applying Different Machine Learning Techniques in a Synchrotron
-
Bohong Huang
(Stony Brook University)
-
17:21
Neural Network Surrogate Priors for Efficient Bayesian Optimization
-
Ryan Roussel
(SLAC National Laboratory)
-
17:23
Longitudinal Phase Space Manipulation at the LCLS using Neural Networks and Bayesian Optimization
-
Auralee Edelen
(SLAC)
-
17:25
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
-
Jan Kaiser
(Deutsches Elektronen-Synchrotron DESY)
-
17:27
APPLICATIONS OF MACHINE LEARNING IN PHOTO-CATHODE INJECTORS
-
Aasma Aslam
-
17:29
Xopt: A Simplified Framework for Optimization of Arbitrary Problems using Advanced Algorithms
-
Ryan Roussel
(SLAC National Laboratory)
-
17:31
Fast THz Radiation Optimization for Linear Accelerator using Surrogate Model
-
Chenran Xu
(member@kit.edu;employee@kit.edu)
-
17:33
Automatic Optimization of X-ray Free-Electron Laser at SACLA
-
Hirokazu Maesaka
(Spring8)
-
17:35
A Smart Alarm for the CEBAF Injector
-
Chris Tennant
(Jefferson Laboratory)
-
17:37
Continuous Anomaly Detection and Labeling for the Fermilab Linac
-
Jason St. John
(Fermilab)
-
17:39
Apply Machine Learning in Orbit Control and Accelerator Stabilization
-
Zeyu Dong
(Stony Brook University)
-
17:41
Machine Learning to Support the ATLAS Linac Operations at Argonne
-
Brahim Mustapha
(ANL)
-
17:43
Design Optimization and In Situ Surrogate Modeling Activities in the Beam, Plasma & Accelerator Simulation Toolkit (BLAST)
-
Axel Huebl
(Lawrence Berkeley National Laboratory)
-
17:45
Data-Driven Chaos Indicators for Beam Dynamics
-
Robert Rainer
(Brookhaven National Laboratory)
