Conveners
WEMR Mini-Orals (MC13, MC14, MC15)
- Martin Pieck (Los Alamos National Laboratory)
-
Michal Piekarski (SOLARIS National Synchrotron Radiation Centre)24/09/2025, 15:00MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
The National Synchrotron Radiation Center SOLARIS, third generation light source, is the only synchrotron located in Central-Eastern Europe, in Poland. The SOLARIS Center, with seven fully operational beamlines, serves as a hub for research across a diverse range of disciplines. The most important aspect of such research infrastructure is to provide stable working conditions for the users,...
Go to contribution page -
Magdalena Szczepanik (SOLARIS National Synchrotron Radiation Centre)24/09/2025, 15:03MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
The future of synchrotron beamline operations is poised for a transformative leap with advancements in artificial intelligence (AI) and machine learning (ML). While SOLARIS National Synchrotron Radiation Centre* has yet to integrate these technologies, their potential to revolutionize experiments, data analysis, and user interactions is immense. AI-driven automation promises real-time...
Go to contribution page -
Linh Nguyen (Brookhaven National Laboratory)24/09/2025, 15:06MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
Scheduled to begin Operations in 2035, the Electron-Ion Collider (EIC) is being built at Brookhaven National Laboratory (BNL) and will be the only operating particle collider in the United States. It may also be the only large collider built in the world in the next 20-30 years, during the โAge of Artificial Intelligence (AI)โ. Recognizing the potential for AI and machine learning (ML) to...
Go to contribution page -
Zihan Zhu (SLAC National Accelerator Laboratory)24/09/2025, 15:09MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
Precise control of the longitudinal phase space (LPS) in X-ray free-electron laser (XFEL) is critical for optimizing beam qualities and X-ray pulses properties required by the experimental stations. We present results of using machine learning techniques for LPS shaping and control with Bayesian optimization.
Go to contribution page -
Jonathan Edelen (RadiaSoft (United States))24/09/2025, 15:12MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
For more than half a decade, RadiaSoft has developed machine learning (ML) solutions to problems of immediate, practical interest in particle accelerator operations. These solutions include machine vision through convolutional neural networks for automating neutron scattering experiments and several classes of autoencoder networks for de-noising signals from beam position monitors and...
Go to contribution page -
Yuliang Zhang (Institute of High Energy Physics)24/09/2025, 15:15MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
Aiming at the limitations of the traditional manual inspection method for particle accelerator facilities, an intelligent inspection system for particle accelerator facilities based on multi-modal sensors and artificial intelligence technology is provided. Multi-modal sensors can collect various types of data from the accelerator facilities, such as temperature, audio, images, and water...
Go to contribution page -
Jonathan Edelen (RadiaSoft (United States))24/09/2025, 15:18MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
Typical operational environments for industrial particle accelerators are less controlled than those of research accelerators. This leads to increased levels of noise in electronic systems, including radio frequency (RF) systems, which make control and optimization more difficult. This is compounded by the fact that industrial accelerators are mass-produced with less attention paid to...
Go to contribution page -
Levente Hajdu (Brookhaven National Laboratory)24/09/2025, 15:21MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
Research conducted at the NASA Space Radiation Laboratory (NSRL) seeksย to increase the safety of space exploration. The NSRL uses beams of heavy ions extracted from Brookhaven's Booster synchrotron to simulate the high-energy cosmic rays found in space. To accomplishย this, the source machines provide many potentialย beam species, ranging in atomic number (Z) from 1, hydrogen/protons, to 83,...
Go to contribution page -
Wenge Fu (Brookhaven National Laboratory)24/09/2025, 15:24MC13: Artificial Intelligence & Machine LearningPoster Presentation with Mini Oral
Modern systems for electronic log keeping and trouble log management generate vast datasets of issues, events, solutions, and discussions. However, extracting actionable insights from this information remains a challenge without advanced analysis tools. This paper introduces an enhancement to two log programsโElectronic Log Keeping (elog) and Trouble Logging (TroubleLog) - used in the RHIC...
Go to contribution page -
Gopika Bhardwaj (SLAC National Accelerator Laboratory)24/09/2025, 15:27MC14: Digital Twins & SimulationPoster Presentation with Mini Oral
Accelerator digital twins can enable real-time optimization and predictive control helping streamline complex facility operations and reduce setup time. Machine Learning(ML) models can enhance digital twin capabilities by leveraging prior experiments, known parameters, and real-time measurements. These require robust infrastructure and open-source software tools for accurate beam modeling and...
Go to contribution page -
Ralph Lange (ITER Organization)24/09/2025, 15:30MC14: Digital Twins & SimulationPoster Presentation with Mini Oral
The use of Digital Control Systems (DCS) with process simulators for engineering purpose, control system validation, virtual commissioning, or operator training is increasingly demanded in large and increasingly complex industrial projects.
Go to contribution page
Coupling a DCS with a process simulator requires to support specific functionalities: ability to operate on a simulated time basis and to save/restore... -
Johannes Mahl (Lawrence Berkeley National Laboratory)24/09/2025, 15:33MC14: Digital Twins & SimulationPoster Presentation with Mini Oral
The Beamline Operations and Learning Testbed (BOLT) is a portable, cost-effective platform developed at the Advanced Light Source, inspired by a similar device developed at Diamond Light Source, to test experimental control systems without disrupting user operations. BOLT simulates a beamline endstation with minimal hardware (two motors, one detector) while implementing the complete EPICS/...
Go to contribution page -
Diogo Monteiro (European Organization for Nuclear Research)24/09/2025, 15:36MC15: Feedback Systems & OptimizationPoster Presentation with Mini Oral
In industrial engineering, scheduling is a well-established strategy for optimizing resource use and minimizing operational costs. At CERN's Engineering department, the Cooling and Ventilation group has implemented an automatic scheduling solution to reduce electricity consumption by selectively shutting down plants during nights and weekends, when their operation is not required. Given that...
Go to contribution page -
Gabriel Oehlmeyer Brunheira (Brazilian Synchrotron Light Laboratory)24/09/2025, 15:39MC15: Feedback Systems & OptimizationPoster Presentation with Mini Oral
Two new High-Dynamic Double Crystal Monochromators (HD-DCM-Lite) have been successfully deployed on the SAPUCAIA (SAXS) and QUATI (quick-EXAFS) beamlines at SIRIUS. Building on previous work, that introduced the dynamic modeling and initial stabilization control strategies*, this paper details the mechatronic architecture, commutation schemes, and control strategies that enabled these systems...
Go to contribution page