5th ICFA Beam Dynamics Mini-Workshop on Machine Learning for Particle Accelerators

Session

MLOps, Infrastructure and Scalability

Apr 9, 2025, 12:00 PM

503/1-001 - Council Chamber (CERN)

Conveners

MLOps, Infrastructure and Scalability

• Andrea Santamaria Garcia (University of Liverpool)

MLOps, Infrastructure and Scalability

• Tia Miceli

10. Machine learning and computer vision in robotic interventions at CERN boosting maintainability- 10'+5'

Eloise Matheson (CERN)

4/9/25, 12:00 PM

MLOps, Infrastructure and Scalability

Invited talks

Robots are used in the CERN accelerator complex for remote inspections, repairs, maintenance, monitoring, autopsy and quality assurance, to both improve safety and machine availability. Past interventions mostly relied on teleoperation of robotic bases and arms, while some current and many future interventions will use autonomous behaviors, largely based on advances in machine learning and...

5. Application of boosted decision trees in beam anomaly detection with high throughput data streaming system - 10'+5'

Mr Maciej Mleczko (National Synchrotron Radiation Centre)

4/9/25, 12:15 PM

MLOps, Infrastructure and Scalability

Invited talks

The National Synchrotron Radiation Centre SOLARIS is a third generation light source. SOLARIS, as a big science facility with seven fully operational beamlines, is obligated to provide the best possible conditions for conducting research. One of the ways to create favorable environment is delivering precise tools for teams working across many different fields in SOLARIS. The general problem...

97. An Integrated Research Infrastructure framework for digital twins of laser-plasma acceleration experiments- 10'+5'

Dr Remi Lehe (LBNL)

4/9/25, 12:30 PM

MLOps, Infrastructure and Scalability

Invited talks

Laser-plasma acceleration is a promising acceleration technology for a number of applications due to the large accelerating gradient and unique beam properties that it produces. This technology is in active development, and experimental campaigns typically dedicate significant time to exploring the parameter space in real time, adjusting laser properties, target configuration, and other...

61. Lume Deployment - standardising model deployment- 15'+5'

Mateusz Leputa

4/9/25, 2:00 PM

MLOps, Infrastructure and Scalability

Invited talks

Ensuring efficient use of resources and longevity of machine learning projects requires careful consideration of the full machine learning lifecycle especially when models are deployed to interact with live control systems or end users. We present Lume Deployment a framework of standardised modules built for rapid development and deployment of machine learning models and their integration to...

80. Software Infrastructure Plans for End-to-End and Bottom-Up AI/ML Capabilities at the Electron-Ion Collider (EIC)- 15'+5'

Linh Nguyen (Brookhaven National Laboratory)

4/9/25, 2:20 PM

MLOps, Infrastructure and Scalability

Invited talks

Plans for the Electron-Ion Collider (EIC), to be built at Brookhaven National Laboratory, include end-to-end and bottom-up capabilities in artificial intelligence (AI) and machine learning (ML). Enabling these capabilities, especially for EIC Operations, will require the large-scale integration of software platforms and tools for the reliable and efficient management of AI/ML-related data,...

102. Machine Learning for the SNS Accelerator and Target- 15'+5'

Willem Blokland (ORNL)

4/9/25, 2:40 PM

MLOps, Infrastructure and Scalability

Invited talks

We apply Machine Learning techniques at the Spallation Neutron Source (SNS) to improve operations, specifically to deter and prevent errant beam pulses, to speed up minimization of halo beam losses, and to alert operators to anomalies in the target cooling system. We give an overview of the work done and discuss the infrastructure implemented and under development to support the data...