Conveners
Machine Learning: Overview talk + scheduled talks by facilities
- Chair : Pierre Schnizer (HZB)
Machine Learning: Scheduled talks by facilities + contributed talks
- Chair : Luis Vera Ramirez (HZB)
-
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
Go to contribution page
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.
Go to contribution page
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...
Go to contribution page -
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...
Go to contribution page -
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.
Go to contribution page
Here... -
11/05/2021, 19:30
-
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...
Go to contribution page -
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
Go to contribution page
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...
Go to contribution page -
12/05/2021, 16:00
-
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.
Go to contribution page
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...
Go to contribution page -
12/05/2021, 16:50