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Marco Calvi (PSI - Paul Scherrer Institut)11/05/2021, 15:00
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...
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Nicolas Leclercq (ESRF), Simone Maria Liuzzo (ESRF)11/05/2021, 15:10
Digital Twin: Beyond the buzz word. A light-sources perspective.
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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... -
Andriy Nosych (ALBA)11/05/2021, 15:40
Beam Instrumentation Simulation System (BISS) is an educational software aimed at Advanced CERN Accelerator School (CAS) Beam Diagnostics hands-on course. The aim of this course is to give basic understanding of the measurement principles, fundamental concepts and related technological aspects of deriving beam position in a particle accelerator. An interactive simulation tool will allow a user...
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Andreas Adelmann (Paul Scherrer Institut)11/05/2021, 15:55
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Ilya Agapov (DESY)11/05/2021, 16:10
PETRA IV is the diffraction-limited synchrotron light source currently under design at DESY Hamburg, that will deliver hard x-ray beams of unprecedented brightness.
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The design phase of the storage ring is centred around the electron optics model, from which requirements and parameter lists for hardware such as magnets, power supplies, alignment system etc. are generated. The computer models... -
Oliver Knodel (HZDR)11/05/2021, 16:25
This presentation introduces the HELIPORT project, which aims at developing a platform which accommodates the complete life cycle of a scientific project and links all corresponding programs, systems and workflows to create a more FAIR and comprehensible project description. Heliport is linked with our local Handle-Server and generates uniform PIDs from and for various systems and services....
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11/05/2021, 16:40
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E. Juncheng (EUXFEL)11/05/2021, 17:20
Experiments conducted in large scientific research infrastructures, such as synchrotrons, free electron lasers, and neutron sources become increasingly complex. Such experiments, often investigating complex physical systems, are usually performed under strict time limitations and may depend critically on experimental parameters. To prepare and analyze these complex experiments, a virtual...
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Lars Fröhlich (DESY / EUXFEL)11/05/2021, 17:30
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...
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Michael Bussmann (HZDR)11/05/2021, 17:40
Digital twins of highly-nonlinear, time-dependent complex systems require to include knowledge on the initial experimental conditions, all relevant detection modalities and the complex system itself. In the case of plasma accelerators, these systems can be seen both as compact accelerators and complex systems to study. In both cases, they require considerable computational power to reach...
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11/05/2021, 18:00
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Sandra Biedron (UNM)11/05/2021, 18:20
Our team's activities center around dynamic systems, predominantly for scientific inquiry. Our interest is in the
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physics-informed construction and use of digital twins in real-time control systems. Why? Our complex systems
can have millions of process variables, change over time, and the subsystems can influence one another. Further, on
top of controlling these systems as understanding of... -
Giulio Gaio (Elettra-Sincrotrone Trieste S.C.p.A.)11/05/2021, 18:50
At Elettra Sincrotrone Trieste there are several ongoing activities regarding Machine Learning and automation.
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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... -
Adriana Wawrzyniak (SOLARIS), Michal Piekarski (SOLARIS), Michal Waniczek (SOLARIS)11/05/2021, 19:00
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...
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Annika Eichler (DESY)11/05/2021, 19:10
At DESY different types of particle accelerators are operated and investigated. Particle accelerators are large, complex systems, with non-linear coupling between many components, and time varying, uncertain disturbances. Their operation is challenging due to are vast number of sub-components, high dimensionality, high data rates and different operating time scales, while at the same time...
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Sören Jalas (UHH)11/05/2021, 19:20
Plasma based accelerators, conceptual or experimental, are characterised by high dimensional non-linearly coupled parameter spaces. Further, the cost of probing each set of parameters, i.e. a plasma simulation or a measurement, is typically high. This makes simple exploration approaches like multidimensional scans unpractical and calls for more advanced strategies to optimise parameters.
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Here... -
11/05/2021, 19:30
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Gianluca Valentino (University of Malta)12/05/2021, 15:00
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...
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Andriy Nosych (ALBA)12/05/2021, 15:30
At ALBA Synchrotron the pinhole imaging system is able to see 6 beam images at once. Each beam image has its own properties, such as pinhole size, its point spread function (PSF), copper filter attenuation and region of interest (ROI), all of which impact the source beam size calculation. For now, all these parameters are observed and controlled manually. An artificial neural net (ANN) is...
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Isak Lindhé (MAX IV)12/05/2021, 15:40
MXAimbot is a neural network based tool, designed to automate the task of centering samples for macro-molecular X-ray crystallography experiments before exposing the sample to the beam.
MXAimbot uses a convolutional neural network (CNN) trained on a few thousands images from an industrial vision camera pointed at the sample to predict suitable
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crystal centering for subsequent data... -
Nico Hoffmann (HZDR)12/05/2021, 15:50
Recent developments in photon science enable the investigation of structures and fundamental dynamics at nanometer and femtosecond scales. The corresponding imaging techniques such as Small Angle X-Ray Scattering (SAXS) at Grazing Incidence (GI-SAXS) or Ptychography produce imaging data at unprecedented spatial and temporal resolution. However, the reconstruction of relevant properties from...
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12/05/2021, 16:00
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Laurent Nadolski (Synchrotron SOLEIL)12/05/2021, 16:20
Artificial Intelligence, Digital Twins, Machine Learning are areas being explored in view of the SOLEIL upgrade.
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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 ... -
Andrea Santamaria Garcia (Karlsruhe Institute of Technology)12/05/2021, 16:30
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...
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12/05/2021, 16:50
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Adi Hanuka (SLAC)12/05/2021, 17:30
Longitudinal phase space (LPS) provides a critical information about electron beam dynamics for various scientific applications. For example, it can give insight into the high-brightness X-ray radiation from a free electron laser. Existing diagnostics are invasive, and often times cannot operate at the required resolution. In this work we present a machine learning-based Virtual Diagnostic...
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Ihar Lobach (University of Chicago)12/05/2021, 18:05
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...
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Xingyi Xu (SINAP)12/05/2021, 18:25
A large amount of information extraction work is done in the frequency domain. Information at different frequencies contains different physical meanings. The convolution kernel is also called a filter, because the convolution process is actually a filtering process. This means that a deep convolutional neural network is like a string of intelligent filter banks. It is helpful for the...
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Eric Cropp (UCLA)12/05/2021, 18:45
Electron ghost imaging has been established as a viable method that allows for advantages over traditional methods, such as making use of compressed sensing and a resolution increase from Fellgett's Advantage [1]. It has been applied to passive photocathode quantum efficiency mapping [2] and improving resolution within this context is discussed.
[1] S. Li, F. Cropp, K. Kabra, T. J. Lane,...
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Jun Zhu (DESY)12/05/2021, 19:05
We present data-driving modeling of the European XFEL photoinjector using a deep learning-based autoencoder. We show that the autoencoder trained only with experimental data can make high-fidelity predictions of megapixel images
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for the longitudinal phase-space measurement. We also discuss the practical challenges of building such an intelligent system for operation and propose a pragmatic... -
Thomas Tschentscher (European XFEL)12/05/2021, 19:20
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