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3:00 PM
Integration of Multi-Objective Genetic Algorithm and neural networks in linac optimization.
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Chanmi Kim
(korea univ.)
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3:01 PM
Simulation methods of 3D coupled storage ring based on SLIM formalism
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Jingyuan Zhao
(Tsinghua University)
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3:02 PM
Online optimisations of lifetime and injection efficiency in the ESRF EBS storage ring
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Nicola Carmignani
(ESRF)
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3:04 PM
Machine Learning Based Response Matrix Correction
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liwei chen
(Tsinghua university)
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3:05 PM
Orbit correction by machine learning in TPS storage ring
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Mau-Sen Chiu
(National Synchrotron Radiation Research Center)
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3:06 PM
Comparing gradient-based and non-gradient modelling and optimisation methods for investigating synchrotron dynamics
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Seb Wilkes
(University of Oxford)
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3:07 PM
Online image-based beam-dump anomaly detection
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Francisco Moreira Huhn
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3:08 PM
Multiobjective Optimization of Cyclotron Cavity Model using Neural Network
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Ahsani Hafizhu Shali
(Research Center for Nuclear Physics, Osaka University)
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3:09 PM
RL-Based Control Strategies for HIPI Accelerator
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Chunguang Su
(Institute of modern physics, Chinese Academy of Sciences)
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3:10 PM
Reinforcement Learning Based Radiation Optimization at a Linear Accelerator
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Chenran Xu
(Karlsruhe Institut für Technologie (KIT))
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3:12 PM
Dynamic vacuum and temperature predictions for informed anomaly detection at the CERN-SPS
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Francesco Velotti
(CERN)
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3:13 PM
Trust Region Bayesian Optimization for Online Accelerator Control
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Ryan Roussel
(SLAC National Accelerator Laboratory)
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3:17 PM
Anomaly Detection for Diode Failures
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Jennefer Maldonado
(Brookhaven National Laboratory)
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3:19 PM
Multi objective Bayesian optimization of ECR ion source at the Linear IFMIF Prototype Accelerator.
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Andrea De Franco
(National Institutes for Quantum Science and Technology (QST))
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3:20 PM
Optimization of a Longitudinal Bunch Merge Gymnastic with Reinforcement Learning
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Jennefer Maldonado
(Brookhaven National Laboratory)
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3:23 PM
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
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Kishansingh Rajput
(Thomas Jefferson National Accelerator Facility)
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3:24 PM
Improving Surrogate Model Performance for Sparse Outputs in the Spatial Domain
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Kathryn Baker
(STFC / ISIS)
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3:25 PM
Optimization design of photocathode injector assisted by deep Gaussian process
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Zheng Sun
(Institution of high energy physics,IHEP)
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3:26 PM
Development of beam transport system optimization method using VAE and Bayesian optimization
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Yasuyuki Morita
(RIKEN)
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3:27 PM
Experience with ML-driven applications at PETRA III
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Bianca Veglia
(DESY)
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3:28 PM
Rapid Tuning or Synchrotron Surrogate Model at the Recycler Ring
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Jason St. John
(Fermilab)
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3:29 PM
Analysis and Improvement of Generalisability of Anomaly Detection Methods
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Mihnea Romanovschi
(Science and Technology Facilities Council (STFC) UKRI ISIS Neutron and Muon Source)
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3:31 PM
The Reinforcement Learning for Autonomous Accelerators International Collaboration
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Andrea Santamaria Garcia
(Karlsruhe Institute of Technology)
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3:32 PM
Simultaneous corrections of nonlinear errors in the LHC triplets using machine learning
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Elena Fol
(CERN)
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3:33 PM
Application of Machine Learning to Accelerator Operations at SACLA/SPring-8.
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Hirokazu Maesaka
(RIKEN/JASRI)
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3:36 PM
End-to-end Simulations and ML infrastructure for Light Sources
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Jonathan Edelen
(RadiaSoft LLC)
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3:38 PM
Improving Accelerator Surrogate Models with a Knowledge of Physics
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Christopher Pierce
(University of Chicago)
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3:39 PM
Reshaping SRF Cavity Resonance Management with Smart Techniques
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Faya Wnag
(SLAC)
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3:41 PM
Reinforcement Learning for Intensity Tuning at Large FEL Facilities
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Jan Kaiser
(Deutsches Elektronen-Synchrotron DESY)
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3:42 PM
Research on Recognition of Quench and Flux Jump Based on Machine Learning
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Bao Niu
(Institute of Modern Physics, Chinese Academy of Sciences)
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3:43 PM
Towards Natural Language-driven Autonomous Particle Accelerator Tuning
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Jan Kaiser
(Deutsches Elektronen-Synchrotron DESY)
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3:44 PM
Bayesian Optimal Experimental Design for AGS Booster Magnet Misalignment Estimation
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Weijian Lin
(Cornell University)
