Session

WEMR Mini-Orals (MC13, MC14, MC15)

WEMR
24 Sept 2025, 15:00
Red Lacquer Room (Palmer House Hilton Chicago)

Red Lacquer Room

Palmer House Hilton Chicago

17 East Monroe Street Chicago, IL 60603, United States of America

Conveners

WEMR Mini-Orals (MC13, MC14, MC15)

  • Martin Pieck (Los Alamos National Laboratory)

Presentation materials

There are no materials yet.
Michal Piekarski (SOLARIS National Synchrotron Radiation Centre)
24/09/2025, 15:00
MC13: Artificial Intelligence & Machine Learning
Poster 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,...

Magdalena Szczepanik (SOLARIS National Synchrotron Radiation Centre)
24/09/2025, 15:03
MC13: Artificial Intelligence & Machine Learning
Poster 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...

Linh Nguyen (Brookhaven National Laboratory)
24/09/2025, 15:06
MC13: Artificial Intelligence & Machine Learning
Poster 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 โ€œAge of Artificial Intelligence (AI)โ€. Recognizing the potential for AI and machine learning (ML) to...

Zihan Zhu (SLAC National Accelerator Laboratory)
24/09/2025, 15:09
MC13: Artificial Intelligence & Machine Learning
Poster 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.

Jonathan Edelen (RadiaSoft (United States))
24/09/2025, 15:12
MC13: Artificial Intelligence & Machine Learning
Poster 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...

Yuliang Zhang (Institute of High Energy Physics)
24/09/2025, 15:15
MC13: Artificial Intelligence & Machine Learning
Poster 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...

Jonathan Edelen (RadiaSoft (United States))
24/09/2025, 15:18
MC13: Artificial Intelligence & Machine Learning
Poster 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...

Levente Hajdu (Brookhaven National Laboratory)
24/09/2025, 15:21
MC13: Artificial Intelligence & Machine Learning
Poster 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,...

Gopika Bhardwaj (SLAC National Accelerator Laboratory)
24/09/2025, 15:27
MC14: Digital Twins & Simulation
Poster 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...

Ralph Lange (ITER Organization)
24/09/2025, 15:30
MC14: Digital Twins & Simulation
Poster 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.
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, 15:33
MC14: Digital Twins & Simulation
Poster 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/...

Diogo Monteiro (European Organization for Nuclear Research)
24/09/2025, 15:36
MC15: Feedback Systems & Optimization
Poster 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...

Gabriel Oehlmeyer Brunheira (Brazilian Synchrotron Light Laboratory)
24/09/2025, 15:39
MC15: Feedback Systems & Optimization
Poster 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...

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