In the name of the organising committee, I would like to welcome you to this workshop. I think I owe to some of you few introductory words. LEAPS is a strategic consortium created in end of 2017 by the Directors of the Synchrotron Radiation and Free Electron Laser user facilities in Europe. During the last year and triggered partially by the new situation created by the sanitary crisis, Helmut...
Digital Twin: Beyond the buzz word. A light-sources perspective.
The Digital Twin (DT) is the next step of the digital transformation. Ideally, this virtual representation of a device, a process or a whole facility, behaves as its physical equivalent. However, its capabilities go far beyond the imitation game. It is usually first and foremost developed to contribute to manage the overall life...
This contribution gives an overview of two activities regarding "digital twins" of the European XFEL accelerator. The first one is the operation and enhancement of the Virtual XFEL, a clone of the machine control system for testing mid- and high-level software. Using a custom physics simulation written in C++, the Virtual XFEL performs single-particle and envelope tracking in realtime. The...
At Elettra Sincrotrone Trieste there are several ongoing activities regarding Machine Learning and automation.
A research driven activity investigating Reinforcement Learning for the optimization of the FERMI Free Electron Laser has been carried out with promising results.
A framework based on the concept of Behavior Tree is employed in the autonomous operation
of the Elettra...
In the past decade Deep Learning (DL) proved to be very successful in tasks which involve image, signal and text analysis and recognition. Due to the complexity of the synchrotron control system and the physical phenomena occurring in such an infrastructure, it can benefit from novel deep learning techniques. Currently at Solaris two projects that involve the machine learning techniques are...
The last few years have seen a strong increase in uptake of machine learning (ML) techniques in the domain of particle accelerators. ML techniques have been used in a number of applications, from anomaly detection to surrogate modelling, virtual diagnostics, tuning and control as well as advanced data analysis. This talk will explore the different applications where ML is becoming an...
Artificial Intelligence, Digital Twins, Machine Learning are areas being explored in view of the SOLEIL upgrade.
Experimental data processing, control, online optimization, predictive maintenance become very hot topics and the center of the IT architecture transformation of the synchrotron light source. In this presentation I will give a short overview what has been achieved so far and ...
The Institute for Beam Physics and Technology (IBPT) at the Karlsruhe Institute of Technology (KIT) hosts two research accelerator facilities, KARA and FLUTE, that serve as platforms for the development and testing of new beam acceleration technologies and new cutting-edge accelerator concepts, including Machine Learning (ML) methods. In this talk I will present three ML activities in...
Generally, turn-to-turn power fluctuations of incoherent spontaneous synchrotron radiation in a storage ring depend on the 6D phase-space distribution of the electron bunch. In some cases, if only one parameter of the distribution is unknown, this parameter can be determined from the measured magnitude of these power fluctuations. In this contribution, we report the results of our experiment...
