LPA Online Workshop on Control Systems and Machine Learning

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

24.–27. Jan. 2022

Europe/Berlin Zeitzone

Timetable Timezone: Please select from dropdown menu to upper-right of page. Default is "Europe/Berlin".

This event is part of the Laser-Plasma Accelerator Seminars. Click here for more information, including data protection.

Rednerliste

Andre Antoine (University of Michigan)
- Redner bei Data-driven modelling of laser-plasma experiments enabled by large datasets
Friedrich Bethke
- Redner bei ML-based radiation diagnostics for recognition of self-injection radiation
Pablo Jaime Bilbao Santiago (Golp/IPFN Instituto Superior Tecnico, Universidade de Lisboa, Lisboa Portugal)
- Redner bei Towards deep learning-accelerated particle-in-cell simulations: application to Compton scattering events
Kevin Cassou (CNRS/IJClab)
- Redner bei PALLAS control command and data acquisition systems
Stephen Dann (Central Laser Facility (UKRI))
- Redner bei Controlling experiments at Gemini (and EPAC)
Andreas Döpp (LMU Munich)
- Redner bei Welcome and workshop introduction
Leonard Doyle (LMU)
- Redner bei Current design of the data acquisition system at the Centre for Advanced Laser Applications (CALA)
- Redner bei Tango Controls as control system for a university high power laser lab
Scott Feister
- Redner bei Data Pipelines for Small Teams and High-Rep-Rates
Arkady Gonoskov (University of Gothenburg)
- Redner bei Towards simulation-governed ML-based analysis of laser-plasma interactions
Anthony Gonsalves (LBNL)
- Redner bei The BELLA Center control system
Ross Gray (University of Strathclyde)
- Redner bei Developments in Data Acquisition and Handling for LPI experiments at SCAPA
Hayg Guler (IJCLAB)
- Redner bei Linac tuning using ML
Peter Heuer (Laboratory for Laser Energetics)
- Redner bei Open-Source Software and Data Formats for High Energy Density Physics
Nico Hoffmann (Helmholtz-Zentrum Dresden – Rossendorf)
- Redner bei Advanced understanding of Laser-plasma acceleration by Machine Learning: overview of recent developments
Axel Huebl (LBNL)
- Redner bei openPMD - A Scientific, Community Meta-Data Standard
Kelli Humbird (LLNL)
- Redner bei Cognitive Simulation models for inertial confinement fusion
Faran Irshad (CALA-LMU Munich)
- Redner bei Multi-objective Multi-Fidelity optimization of LWFA using Expected Hypervolume Improvement
- Redner bei Tango Controls as control system for a university high power laser lab
Archis Joglekar (University of Michigan)
- Redner bei A scalable cloud-based platform for laser plasma experimental data collection, sharing, and machine-learning
Jan Kaiser (DESY)
- Redner bei Studies on Reinforcement Learning Applications for Accelerator Optimization and Control
Manuel Kirchen (DESY)
- Redner bei Data-driven insights and operation at LUX
Jinpu Lin (University of Michigan / currently at: LMU Munich)
- Redner bei Utilizing high-repetition-rate capabilities with adaptive optical systems
Eva Los (Imperial College London)
- Redner bei Applications of Bayesian Inference in Radiation Reaction Experiments
Brendan Loughran (Quen's University Belfast)
- Redner bei Optimisation of laser-driven ion acceleration at high repetition rate
Varun Makdani
- Redner bei In-situ ML-based surrogate model training via continual learning and streaming
Derek Mariscal (Lawrence Livermore National Laboratory)
- Redner bei Enhanced Diagnostic Analysis through Deep Learning
Chris O'Grady (SLAC National Accelerator Laboratory/LCLS)
- Redner bei 1MHz 20GB/s Data Acquisition and Analysis at LCLS-II
Charlotte Palmer (Queen's University Belfast)
- Redner bei Optimisation of high-intensity laser-solid interactions using gaussian process regression.
Tudor Pascu
- Redner bei A comparison between the performances of machine learning algorithms in the case of laser profile images classification
Davorin Peceli (ELI BL)
- Redner bei Optimization of laser pulse duration using SPIDER and DAZZLER feedback loop
Derek Schaeffer (Princeton University)
- Redner bei Designing Flexible Data Structures for High-Rep-Rate Laser Experiments at UCLA
Hans-Peter Schlenvoigt (HZDR)
- Redner bei FAIR data storage for user experiments: Challenges and Opportunities
Rob Shalloo (DESY)
- Redner bei Control and Automation of Plasma Accelerators
Oliver Stein (DESY)
- Redner bei Studies on Reinforcement Learning Applications for Accelerator Optimization and Control
Peter Steinbach (Helmholtz-Zentrum Dresden-Rossendorf)
- Redner bei Simulation-Based Inference for Beam Parameter Inversion
Matthew Streeter (Imperial College London)
- Redner bei Gaussian Process Regression in Laser Plasma Experiments
Nicole Wagner
- Redner bei Challenges in automating experimental setups
Nils Weiße (CALA)
- Redner bei Tango Controls as control system for a university high power laser lab
Anna Willmann
- Redner bei Surrogate modeling of Laser-Plasma acceleration

Wähle Zeitzone

LPA Online Workshop on Control Systems and Machine Learning