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4:45 PM
Classification and Prediction of Superconducting Magnet Quenches
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Joshua Curtis-Einstein
(RadiaSoft, LLC)
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4:47 PM
Beam Loss Disentangling Model Hyperparameter Tuning Methods
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Isaiah Jones
(Northwestern University)
-
4:49 PM
Graph Embeddings for CEBAF Operations: Progress and Future Plans
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Chris Tennant
(Jefferson Laboratory)
-
4:51 PM
Emittance Measurement Speedup with Machine Learning at the Coherent electron Cooling Experiment at RHIC
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Weijian Lin
(Cornell Univ.)
-
4:53 PM
Machine Learning for Beam Emittance Measurement and Aberration Correction of an Electron Microscope
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Desheng Ma
(member@cornell.edu;alum@cornell.edu;student@cornell.edu)
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4:55 PM
Enhancing UED temporal resolution with time-stamping virtual diagnostics
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FREDERICK CROPP
(UCLA)
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4:57 PM
Analysis and Visualisation of Transverse beam properties at the European XFEL
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Raimund Kammering
(Deutsches Elektronen-Synchrotron DESY)
-
4:59 PM
Muon monitor signal to predict NuMI beam parameters and horn current by applying Machine Learning techniques
-
Don Athula Wickremasinghe
-
5:01 PM
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)
-
5:03 PM
Machine learning-based surrogate model construction for optics matching at the European XFEL
-
Zihan Zhu
(DESY)
-
5:05 PM
An Efficient Classifier-Based Surrogate Assisted Evolutionary Algorithm
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Christopher Pierce
(member@cornell.edu;alum@cornell.edu;student@cornell.edu)
-
5:07 PM
Image Segmentation for Automated Sample Alignment in Neutron Scattering Experiments
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M. Henderson
(RadiaSoft, LLC)
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5:09 PM
Optimization of dynamic aperture for the Electron-Ion Collider
-
Daniel Marx
-
5:11 PM
BPM measurement prediction based on HOM signals using Machine Learning
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Jorge Diaz Cruz
(University of New Mexico)
-
5:13 PM
Updates on the surrogate model design for MUED
-
Salvador Sosa
(UNM)
-
5:15 PM
Prospects for Machine Learning and Pulse Shaping in the Scorpius Accelerator
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E.R. Scott
(NNSS)
-
5:17 PM
Exploring and Applying Different Machine Learning Techniques in a Synchrotron
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Bohong Huang
(Stony Brook University)
-
5:21 PM
Neural Network Surrogate Priors for Efficient Bayesian Optimization
-
Ryan Roussel
(SLAC National Laboratory)
-
5:23 PM
Longitudinal Phase Space Manipulation at the LCLS using Neural Networks and Bayesian Optimization
-
Auralee Edelen
(SLAC)
-
5:25 PM
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
-
Jan Kaiser
(Deutsches Elektronen-Synchrotron DESY)
-
5:27 PM
APPLICATIONS OF MACHINE LEARNING IN PHOTO-CATHODE INJECTORS
-
Aasma Aslam
-
5:29 PM
Xopt: A Simplified Framework for Optimization of Arbitrary Problems using Advanced Algorithms
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Ryan Roussel
(SLAC National Laboratory)
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5:31 PM
Fast THz Radiation Optimization for Linear Accelerator using Surrogate Model
-
Chenran Xu
(member@kit.edu;employee@kit.edu)
-
5:33 PM
Automatic Optimization of X-ray Free-Electron Laser at SACLA
-
Hirokazu Maesaka
(Spring8)
-
5:35 PM
A Smart Alarm for the CEBAF Injector
-
Chris Tennant
(Jefferson Laboratory)
-
5:37 PM
Continuous Anomaly Detection and Labeling for the Fermilab Linac
-
Jason St. John
(Fermilab)
-
5:39 PM
Apply Machine Learning in Orbit Control and Accelerator Stabilization
-
Zeyu Dong
(Stony Brook University)
-
5:41 PM
Machine Learning to Support the ATLAS Linac Operations at Argonne
-
Brahim Mustapha
(ANL)
-
5:43 PM
Design Optimization and In Situ Surrogate Modeling Activities in the Beam, Plasma & Accelerator Simulation Toolkit (BLAST)
-
Axel Huebl
(Lawrence Berkeley National Laboratory)
-
5:45 PM
Data-Driven Chaos Indicators for Beam Dynamics
-
Robert Rainer
(Brookhaven National Laboratory)
