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3rd ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators (Chicago, IL - Palmer House Hilton)

1–4 Nov 2022
Chicago, IL
US/Central timezone

Workshop Coordinator

Contribution List

103 / 103
57. Registration
01/11/2022, 08:00
64. Tutorials - Prep and Instructions
01/11/2022, 08:45
66. Tutorial on Bayesian Optimization
Ryan Roussel (SLAC)
01/11/2022, 09:00
67. Tutorial on Anomaly Detection
Antonin Sulc (MCS (MCS Fachgruppe 4))
01/11/2022, 10:05
68. Tutorial on Reinforcement Learning (Speaker: Kishansingh Rajput, JLAB)
01/11/2022, 11:10
65. ALCF - HPC for AI/ML (Corey J. Adams, ANL)
Corey Adams (ANL)
01/11/2022, 13:25
69. Tutorial on Uncertainty Quantification
Natalie Isenberg (Computational Science Initiative)
01/11/2022, 14:10
70. Xopt
Ryan Roussel (SLAC)
01/11/2022, 15:15
71. Badger
Zhe Zhang (SLAC)
01/11/2022, 15:25
72. GeOFF and COI
Nico Madysa (CERN)
01/11/2022, 15:35
73. RadiaSoft Tools (RadiaSoft Team, RadiaSoft)
01/11/2022, 15:45
74. Open Discussion
01/11/2022, 15:55
75. Xopt
Ryan Roussel (SLAC)
01/11/2022, 16:35
76. Badger
Zhe Zhang (SLAC)
01/11/2022, 16:45
77. GeOFF and COI
Nico Madysa (CERN)
01/11/2022, 16:55
78. RadiaSoft Tools (RadiaSoft Team, RadiaSoft)
01/11/2022, 17:05
79. Open Discussion
01/11/2022, 17:15
58. Meet & Greet
01/11/2022, 18:00
80. Registration (Coffee and Snacks will be available)
02/11/2022, 08:00
81. Welcome
02/11/2022, 08:30
82. Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements
Sara Miskovich (staff@stanford.edu;member@stanford.edu)
02/11/2022, 08:55
83. Machine Learning Tools to support the ATLAS Ion Linac Operations at Argonne
Jose L. Martinez-Marin (member@anl.gov)
02/11/2022, 09:20
84. Bayesian Optimization for Trajectory Alignment at LEReC
Yuan Gao
02/11/2022, 09:45
85. Machine Learning for Slow Spill Regulation in the Fermilab Delivery Ring
Mattson Thieme (NorthWestern)
02/11/2022, 10:40
86. Reinforcement Learning Applied to Optimization of LHC Beams in the CERN Proton Synchrotron
Joel Axel Wulff (CERN)
02/11/2022, 11:05
87. A Closer Look at Reinforcement Learning for Beam-Based Feedback Systems
Leander Grech (Univ. of Malta)
02/11/2022, 11:30
88. SRF Cavity Fault Classification and Prediction at Jefferson Lab
Chris Tennant (Jefferson Laboratory)
02/11/2022, 13:25
89. Beam-Based RF Station Fault Identification at the Linac Coherent Light Source
Ryan Humble (Stanford)
02/11/2022, 13:50
90. Status of Data-Driven Bea Trajectory Anomaly Detection
Antonin Sulc (MCS (MCS Fachgruppe 4))
02/11/2022, 14:15
91. Disentangling Beam Losses in the Fermilab Main Injector Enclosure Using Real-time Edge AI
Kyle Hazelwood (FNAL)
02/11/2022, 14:40
92. Uncertainty Aware Anomaly Detection to Predict Errant Beam Pulses and GradCAM Analysis
Kishansingh Rajput (Jefferson Lab)
02/11/2022, 15:35
93. Al for Muon Collider Design: Progress and Plans
Elena Fol (member@cern.ch)
02/11/2022, 16:00
94. RadiaSoft Tools (RadiaSoft Team, RadiaSoft)
Jonathan Edelen (RadiaSoft, LLC)
02/11/2022, 16:25
155. Classification and Prediction of Superconducting Magnet Quenches
Joshua Curtis-Einstein (RadiaSoft, LLC)
02/11/2022, 16:45
128. Beam Loss Disentangling Model Hyperparameter Tuning Methods
Isaiah Jones (Northwestern University)
02/11/2022, 16:47
129. Graph Embeddings for CEBAF Operations: Progress and Future Plans
Chris Tennant (Jefferson Laboratory)
02/11/2022, 16:49
130. Emittance Measurement Speedup with Machine Learning at the Coherent electron Cooling Experiment at RHIC
Weijian Lin (Cornell Univ.)
02/11/2022, 16:51
131. Machine Learning for Beam Emittance Measurement and Aberration Correction of an Electron Microscope
Desheng Ma (member@cornell.edu;alum@cornell.edu;student@cornell.edu)
02/11/2022, 16:53
132. Enhancing UED temporal resolution with time-stamping virtual diagnostics
FREDERICK CROPP (UCLA)
02/11/2022, 16:55
133. Analysis and Visualisation of Transverse beam properties at the European XFEL
Raimund Kammering (Deutsches Elektronen-Synchrotron DESY)
02/11/2022, 16:57
134. Muon monitor signal to predict NuMI beam parameters and horn current by applying Machine Learning techniques
Don Athula Wickremasinghe
02/11/2022, 16:59
135. 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)
02/11/2022, 17:01
136. Machine learning-based surrogate model construction for optics matching at the European XFEL
Zihan Zhu (DESY)
02/11/2022, 17:03
137. An Efficient Classifier-Based Surrogate Assisted Evolutionary Algorithm
Christopher Pierce (member@cornell.edu;alum@cornell.edu;student@cornell.edu)
02/11/2022, 17:05
138. Image Segmentation for Automated Sample Alignment in Neutron Scattering Experiments
M. Henderson (RadiaSoft, LLC)
02/11/2022, 17:07
139. Optimization of dynamic aperture for the Electron-Ion Collider
Daniel Marx
02/11/2022, 17:09
154. BPM measurement prediction based on HOM signals using Machine Learning
Jorge Diaz Cruz (University of New Mexico)
02/11/2022, 17:11
141. Updates on the surrogate model design for MUED
Salvador Sosa (UNM)
02/11/2022, 17:13
142. Prospects for Machine Learning and Pulse Shaping in the Scorpius Accelerator
E.R. Scott (NNSS)
02/11/2022, 17:15
143. Exploring and Applying Different Machine Learning Techniques in a Synchrotron
Bohong Huang (Stony Brook University)
02/11/2022, 17:17
145. Neural Network Surrogate Priors for Efficient Bayesian Optimization
Ryan Roussel (SLAC National Laboratory)
02/11/2022, 17:21
146. Longitudinal Phase Space Manipulation at the LCLS using Neural Networks and Bayesian Optimization
Auralee Edelen (SLAC)
02/11/2022, 17:23
147. Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
Jan Kaiser (Deutsches Elektronen-Synchrotron DESY)
02/11/2022, 17:25
148. APPLICATIONS OF MACHINE LEARNING IN PHOTO-CATHODE INJECTORS
Aasma Aslam
02/11/2022, 17:27
149. Xopt: A Simplified Framework for Optimization of Arbitrary Problems using Advanced Algorithms
Ryan Roussel (SLAC National Laboratory)
02/11/2022, 17:29
150. Fast THz Radiation Optimization for Linear Accelerator using Surrogate Model
Chenran Xu (member@kit.edu;employee@kit.edu)
02/11/2022, 17:31
151. Automatic Optimization of X-ray Free-Electron Laser at SACLA
Hirokazu Maesaka (Spring8)
02/11/2022, 17:33
152. A Smart Alarm for the CEBAF Injector
Chris Tennant (Jefferson Laboratory)
02/11/2022, 17:35
153. Continuous Anomaly Detection and Labeling for the Fermilab Linac
Jason St. John (Fermilab)
02/11/2022, 17:37
156. Apply Machine Learning in Orbit Control and Accelerator Stabilization
Zeyu Dong (Stony Brook University)
02/11/2022, 17:39
157. Machine Learning to Support the ATLAS Linac Operations at Argonne
Brahim Mustapha (ANL)
02/11/2022, 17:41
158. Design Optimization and In Situ Surrogate Modeling Activities in the Beam, Plasma & Accelerator Simulation Toolkit (BLAST)
Axel Huebl (Lawrence Berkeley National Laboratory)
02/11/2022, 17:43
159. Data-Driven Chaos Indicators for Beam Dynamics
Robert Rainer (Brookhaven National Laboratory)
02/11/2022, 17:45
96. Data-Driven Chaos Indictor for Nonlinear Dynamics and Applications on Storage Ring Lattice Design
Robert Rainer (BNL)
03/11/2022, 08:30
97. Towards End-to-End Differentiable Accelerator Modeling
Juan Pablo Gonzalez-Aguilera (University of Chicago)
03/11/2022, 08:55
98. Experience with Integrated Systems for Online Physics Modeling, Adaptive ML Modeling, and Model-Based Control
Auralee Edelen (SLAC)
03/11/2022, 09:20
99. Luminosity Tuning for Future Electron Ion Collider
Derong Xu (Brookhaven National Laboratory)
03/11/2022, 09:45
100. Application of Natural Language Processing on Electronic Logbooks
Jennefer Maldonado (Brookhaven National Laboratory)
03/11/2022, 10:40
101. Towards (more) autonomous accelerators - Status and Vision at CERN
Verena Kain (CERN)
03/11/2022, 11:05
102. How to get ML into the Control Room - the CERN ML Frameworks
Nico Madysa (member@cern.ch)
03/11/2022, 11:30
103. Data Analysis and Control of an MeV Ultrafast Electron Diffraction System Using Machine Learning
Trudy Bolin (UNM)
03/11/2022, 13:25
104. Machine Learning for Tuning, Prediction, and Control at the KIT electron accelerators
Andrea Santamaria Garcia (Karlsruhe Institute of Technology)
03/11/2022, 13:50
105. Towards Linac RF Optimization with Machine Learning
Ralitsa Sharankova (FNAL)
03/11/2022, 14:15
106. ID Orbit Compensation with Neural Networks for PETRA III
Bianca Veglia (DESY)
03/11/2022, 14:40
107. Recent Progress on ML-based Optimization and anomaly prediction at APS
Nikita Kuklev (ANL)
03/11/2022, 15:35
108. Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations
Ryan Roussel (SLAC National Laboratory), Ryan Roussel (SLAC)
03/11/2022, 16:00
109. Improving Neural Networks Predictions using Physics - PINN for the CERN Accelerators
Francesco Maria Velotti (CERN)
03/11/2022, 16:25
110. Transverse 2D Phase-Space Tomography Using BPMs
Kilean Hwang (member@msu.edu;faculty@msu.edu;employee@msu.edu)
03/11/2022, 16:50
111. Simulation Studies and Machine Learning Applications for Orbit Correction at the Alternating Gradient Syndhrotron
Lucy Lin (Cornell University), Weijian Lin (Cornell Univ.)
03/11/2022, 17:15
112. Modeling, Affiliation
04/11/2022, 08:30
113. Analysis Affiliation
04/11/2022, 08:45
125. Open Discussion
04/11/2022, 09:00
114. Opt, Affiliation
04/11/2022, 09:10
115. RL, Affiliation
04/11/2022, 09:25
116. BO, Affiliation
04/11/2022, 09:40
124. Open Discussion
04/11/2022, 09:55
119. Prog, Affiliation
04/11/2022, 10:05
118. Facility, Affiliation
04/11/2022, 10:20
126. Open Discussion
04/11/2022, 10:35
120. Future Workshop
Daniel Ratner (SLAC National Laboratory)
04/11/2022, 10:45
121. Concluding Remarks
Kevin Brown (C-AD), Sandra Biedron (Univ. of NM), Sandra Biedron (Element Aero)
04/11/2022, 10:55
63. Tour of FNAL
04/11/2022, 12:00

Tour Details & Tour Sign-up Form

140. Data-driven modelling of laser-plasma experiments enabled by large datasets
Andre Antoine (University of Michigan)
144. Design Optimization and In Situ Surrogate Modeling Activities in the Beam, Plasma & Accelerator Simulation Toolkit (BLAST)
Alex Huebl (LBNL)
117. Facility, Affiliation
127. ML Experience gained at BESSY II
Pierre Schnizer (BESSY II)
123. Open Discussion
95. Poster Session - 4th Floor
60. Poster Sessions
59. Sessions
61. Sessions
62. Sessions and Close Out
122. test
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