LPA Online Workshop on Control Systems and Machine Learning

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Sessions*

Experiments with in-situ analysis and active feedback control

Big data storage, handling and access

Poster Session A Room 3

Discussion

Poster session A Room 1

Poster Session B Room 1

Poster Session B Room 2

Discussion 1

Discussion 2

Discussion 3

Workshop introduction

Machine learning techniques

Discussion 4

Data acquisition and facility control systems

Poster Session A Room 2

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Contributions*

1MHz 20GB/s Data Acquisition and Analysis at LCLS-II (in session "Data acquisition and facility control systems")

A comparison between the performances of machine learning algorithms in the case of laser profile images classification (in session "Machine learning techniques")

A scalable cloud-based platform for laser plasma experimental data collection, sharing, and machine-learning (in session "Big data storage, handling and access")

Advanced understanding of Laser-plasma acceleration by Machine Learning: overview of recent developments (in session "Machine learning techniques")

Applications of Bayesian Inference in Radiation Reaction Experiments (in session "Machine learning techniques")

Challenges in automating experimental setups (in session "Poster session A Room 1")

Cognitive Simulation models for inertial confinement fusion (in session "Machine learning techniques")

Control and Automation of Plasma Accelerators (in session "Experiments with in-situ analysis and active feedback control")

Controlling experiments at Gemini (and EPAC) (in session "Data acquisition and facility control systems")

Current design of the data acquisition system at the Centre for Advanced Laser Applications (CALA) (in session "Poster session A Room 1")

Data Pipelines for Small Teams and High-Rep-Rates (in session "Big data storage, handling and access")

Data-driven insights and operation at LUX (in session "Experiments with in-situ analysis and active feedback control")

Data-driven modelling of laser-plasma experiments enabled by large datasets (in session "Poster Session A Room 3")

Designing Flexible Data Structures for High-Rep-Rate Laser Experiments at UCLA (in session "Big data storage, handling and access")

Developments in Data Acquisition and Handling for LPI experiments at SCAPA (in session "Data acquisition and facility control systems")

Enhanced Diagnostic Analysis through Deep Learning (in session "Experiments with in-situ analysis and active feedback control")

FAIR data storage for user experiments: Challenges and Opportunities (in session "Big data storage, handling and access")

Gaussian Process Regression in Laser Plasma Experiments (in session "Experiments with in-situ analysis and active feedback control")

In-situ ML-based surrogate model training via continual learning and streaming (in session "Poster Session B Room 2")

Linac tuning using ML (in session "Poster Session A Room 2")

ML-based radiation diagnostics for recognition of self-injection radiation (in session "Poster Session B Room 1")

Multi-objective Multi-Fidelity optimization of LWFA using Expected Hypervolume Improvement (in session "Machine learning techniques")

Open-Source Software and Data Formats for High Energy Density Physics (in session "Poster Session A Room 2")

openPMD - A Scientific, Community Meta-Data Standard (in session "Big data storage, handling and access")

Optimisation of high-intensity laser-solid interactions using gaussian process regression. (in session "Poster Session A Room 2")

Optimisation of laser-driven ion acceleration at high repetition rate (in session "Poster Session A Room 3")

Optimization of laser pulse duration using SPIDER and DAZZLER feedback loop (in session "Poster Session A Room 3")

PALLAS control command and data acquisition systems (in session "Data acquisition and facility control systems")

Simulation-Based Inference for Beam Parameter Inversion (in session "Poster Session B Room 2")

Studies on Reinforcement Learning Applications for Accelerator Optimization and Control (in session "Poster session A Room 1")

Surrogate modeling of Laser-Plasma acceleration (in session "Poster Session B Room 1")

Tango Controls as control system for a university high power laser lab (in session "Poster session A Room 1")

The BELLA Center control system (in session "Data acquisition and facility control systems")

Towards deep learning-accelerated particle-in-cell simulations: application to Compton scattering events (in session "Poster Session B Room 2")

Towards simulation-governed ML-based analysis of laser-plasma interactions (in session "Poster Session B Room 1")

Utilizing high-repetition-rate capabilities with adaptive optical systems (in session "Experiments with in-situ analysis and active feedback control")

Welcome and workshop introduction (in session "Data acquisition and facility control systems")

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Events scheduled on*

1/24/22

1/25/22

1/26/22

1/27/22

Include materials from sessions/contributions scheduled on the selected dates