Name: LPA Online Workshop on Control Systems and Machine Learning
Start: 2022-01-24T15:00:00+01:00
End: 2022-01-27T20:00:00+01:00

LPA Online Workshop on Control Systems and Machine Learning

von Montag, 24. Januar 2022(15:00) bis Donnerstag, 27. Januar 2022(20:00)

Montag, 24. Januar 2022
16:00
16:00 - 18:20
Beiträge

16:00 Welcome and workshop introduction - Andreas Döpp (LMU Munich)

16:15 1MHz 20GB/s Data Acquisition and Analysis at LCLS-II - Chris O'Grady (SLAC National Accelerator Laboratory/LCLS)

16:45 PALLAS control command and data acquisition systems - Kevin Cassou (CNRS/IJClab)

17:20 Developments in Data Acquisition and Handling for LPI experiments at SCAPA - Ross Gray (University of Strathclyde)

17:40 Controlling experiments at Gemini (and EPAC) - Stephen Dann (Central Laser Facility (UKRI))

18:00 The BELLA Center control system - Anthony Gonsalves (LBNL)
18:30
18:30 - 19:15
Beiträge

18:30 Open-Source Software and Data Formats for High Energy Density Physics - Peter V Heuer (Laboratory for Laser Energetics)

18:35 Optimisation of high-intensity laser-solid interactions using gaussian process regression. - Charlotte Palmer (QUB)

18:45 Linac tuning using ML - Hayg Guler (IJCLAB)
18:30 - 19:15
Beiträge

18:35 Optimization of laser pulse duration using SPIDER and DAZZLER feedback loop - Davorin Peceli (ELI BL)

18:45 Optimisation of laser-driven ion acceleration at high repetition rate - Brendan Loughran (Quen's University Belfast)

19:00 Data-driven modelling of laser-plasma experiments enabled by large datasets - Andre Antoine (University of Michigan)
18:30 - 19:15
Beiträge

18:30 Challenges in automating experimental setups - Nicole Wagner

18:40 Tango Controls as control system for a university high power laser lab - Nils Weiße (CALA) Leonard Doyle (LMU) Faran Irshad (CALA-LMU Munich)

18:50 Current design of the data acquisition system at the Centre for Advanced Laser Applications (CALA) - Leonard Doyle (LMU)

19:05 Studies on Reinforcement Learning Applications for Accelerator Optimization and Control - Oliver Stein (DESY) Jan Kaiser (DESY)
19:15

19:15 - 20:00
Dienstag, 25. Januar 2022
16:00
16:00 - 18:20
Beiträge

16:15 Data-driven insights and operation at LUX - Manuel Kirchen (DESY)

16:45 Enhanced Diagnostic Analysis through Deep Learning - Derek Mariscal (Lawrence Livermore National Laboratory)

17:20 Control and Automation of Plasma Accelerators - Rob Shalloo (DESY)

17:40 Utilizing high-repetition-rate capabilities with adaptive optical systems - Jinpu Lin (University of Michigan / currently at: LMU Munich)

18:00 Gaussian Process Regression in Laser Plasma Experiments - Matthew Streeter (Queen's University Belfast)
18:30

18:30 - 20:00
Mittwoch, 26. Januar 2022
16:00
16:00 - 18:20
Beiträge

16:15 openPMD - A Scientific, Community Meta-Data Standard - Axel Huebl (LBNL)

16:45 Data Pipelines for Small Teams and High-Rep-Rates - Scott Feister

17:20 Designing Flexible Data Structures for High-Rep-Rate Laser Experiments at UCLA - Derek Schaeffer (Princeton University)

17:40 A scalable cloud-based platform for laser plasma experimental data collection, sharing, and machine-learning - Archis S. Joglekar (Center for Ultrafast Optical Sciences, University of Michigan - Ann Arbor)

18:00 FAIR data storage for user experiments: Challenges and Opportunities - Hans-Peter Schlenvoigt (HZDR)
18:30
18:30 - 19:15
Beiträge

18:30 Surrogate modeling of Laser-Plasma acceleration - Anna Willmann

18:50 ML-based radiation diagnostics for recognition of self-injection radiation - Friedrich Bethke (Helmholtz-Zentrum Dresden-Rossendorf (HZDR))

18:50 Towards simulation-governed ML-based analysis of laser-plasma interactions - Arkady Gonoskov (University of Gothenburg)
18:30 - 19:15
Beiträge

18:30 In-situ ML-based surrogate model training via continual learning and streaming - Varun Makdani (Helmholtz-Zentrum Dresden-Rossendorf)

18:45 Towards deep learning-accelerated particle-in-cell simulations: application to Compton scattering events - Pablo Jaime Bilbao Santiago (Golp/IPFN, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa Portugal)

19:00 Simulation-Based Inference for Beam Parameter Inversion - Peter Steinbach (Helmholtz-Zentrum Dresden-Rossendorf)
19:15

19:15 - 20:00
Donnerstag, 27. Januar 2022
16:00
16:00 - 18:20
Beiträge

16:15 Cognitive Simulation models for inertial confinement fusion - Kelli Humbird (LLNL)

16:45 Advanced understanding of Laser-plasma acceleration by Machine Learning: overview of recent developments - Nico Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)

17:20 A comparison between the performances of machine learning algorithms in the case of laser profile images classification - Tudor Pascu (ELI-NP)

17:40 Applications of Bayesian Inference in Radiation Reaction Experiments - Eva Los (Imperial College London)

18:00 Multi-objective Multi-Fidelity optimization of LWFA using Expected Hypervolume Improvement - Faran Irshad (CALA-LMU Munich)
18:30

18:30 - 20:00

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