Name: 4th ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators
Start: 2024-03-05T08:00:00+09:00
End: 2024-03-08T18:40:00+09:00
Location: Lahan Select Gyeongju, South Korea

4th ICFA MaLAPA Summary (in session "General")

A Front-End Framework with Embedded ML Tools for Automating Neutron Scattering Experiments (in session "Infrastructure / Deployment Workflows")

A safe Bayesian optimization algorithm for tuning the optical synchronization system at European XFEL (in session "Optimization & Control")

AI-assisted design of final cooling system for a muon collider (in session "Methods")

AI/ML Coupling & Surrogates in BLAST Accelerator Modeling Codes (in session "Methods")

An Open Source MLOps Pipeline for Particle Accelerators (in session "Infrastructure / Deployment Workflows")

Analysis and Improvement of Generalisability of Anomaly Detection Methods (in session "Poster/Demos")

Anomaly Detection for Diode Failures (in session "Poster/Demos")

Application of Machine Learning to Accelerator Operations at SACLA/SPring-8. (in session "Poster/Demos")

Applying Reinforcement Learning to Particle Accelerators: An Introduction (in session "Tutorials")

Automation CERN – Progress with automating CERN’s accelerator fleet (in session "Infrastructure / Deployment Workflows")

Bayesian Optimal Experimental Design for AGS Booster Magnet Misalignment Estimation (in session "Poster/Demos")

Bayesian Optimization with Neural Network Prior Mean Models (in session "Optimization & Control")

Beam Condition Forecasting with Non-destructive Measurements at FACET-II (in session "Anomaly Detection / Failure Prediction")

Building a FAIR-Compliant Platform for AI-Ready Data in Particle Accelerators (in session "Infrastructure / Deployment Workflows")

Cheetah – A High-speed Differentiable Beam Dynamics Simulation for Machine Learning Applications (in session "Methods")

Closing (in session "General")

Collaborations in ML: A Study in Scarlet (in session "Field Summaries")

Comparing gradient-based and non-gradient modelling and optimisation methods for investigating synchrotron dynamics (in session "Poster/Demos")

Computer vision for laboratory assistance tools (in session "Tools for Humans")

Controlling fusion plasmas with deep reinforcement learning (in session "Keynote")

Data-Based Condition Monitoring and Disturbance Classification in Actively Controlled Laser Oscillators (in session "Anomaly Detection / Failure Prediction")

Detailed 4D phase space reconstruction of flat and magnetized beams using differentiable simulations and neural-networks (in session "Analysis & Diagnostics")

Development of beam transport system optimization method using VAE and Bayesian optimization (in session "Poster/Demos")

Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions (in session "Poster/Demos")

Dynamic vacuum and temperature predictions for informed anomaly detection at the CERN-SPS (in session "Poster/Demos")

End-to-end Simulations and ML infrastructure for Light Sources (in session "Poster/Demos")

Enhanced quench detection at the EuXFEL through a machine learning-powered approach (in session "Anomaly Detection / Failure Prediction")

Experience with ML-based Model Calibration Methods for Accelerator Physics Simulations (in session "Methods")

Experience with ML-driven applications at PETRA III (in session "Poster/Demos")

Fast 6-Dimensional Phase Space Reconstructions using Generative Beam Distribution Models and Differentiable Beam Dynamics (in session "Analysis & Diagnostics")

Flash Talks for Poster/Demos 4th ICFA MaLAPA (in session "Poster/Demos")

From Physics Study to Operations: Progress for Production Deployment of ML-Driven Beam Loss Optimization (in session "Optimization & Control")

From Simulation to Reality: Real-Time Control of Superconducting Linear Particle Accelerator using a Trend-Based Soft Actor-Critic Algorithm (in session "Optimization & Control")

High-dimensional characterization of coherent synchrotron radiation effects using generative-model-based phase space reconstruction methods (in session "Analysis & Diagnostics")

Improving Accelerator Surrogate Models with a Knowledge of Physics (in session "Poster/Demos")

Improving Electronic Logbook Searches Using Natural Language Processing (in session "Tools for Humans")

Improving Surrogate Model Performance for Sparse Outputs in the Spatial Domain (in session "Poster/Demos")

Integration of Multi-Objective Genetic Algorithm and neural networks in linac optimization. (in session "Poster/Demos")

Interactive Visualization and Automated Analysis of Neutron Scattering Experiments (in session "Analysis & Diagnostics")

Interpretable Machine Learning at the European XFEL (in session "Infrastructure / Deployment Workflows")

Lean MLOps stack for development and deployment of Machine Learning models into an EPICS Control system (in session "Infrastructure / Deployment Workflows")

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning (in session "Tutorials")

Leveraging Differential Algebraic Methods for Enhanced Beam Dynamics Simulation with Machine Learning (in session "Methods")

Leveraging Vendor Tools for AI Acceleration (in session "Infrastructure / Deployment Workflows")

Machine Learning Based Response Matrix Correction (in session "Poster/Demos")

Machine learning to enhance XFEL operation at LCLS-II (in session "Optimization & Control")

Machine Learning to improve Accelerator Operations at SNS (in session "Field Summaries")

Machine Learning Tools for Heavy-Ion Linac Operations (in session "Optimization & Control")

ML methods for noise reduction in industrial LLRF systems (in session "Methods")

Model up-keep with continual learning (in session "Tutorials")

Multi objective Bayesian optimization of ECR ion source at the Linear IFMIF Prototype Accelerator. (in session "Poster/Demos")

Multi-task Bayesian optimization of laser-plasma accelerators (in session "Optimization & Control")

Multiobjective Optimization of Cyclotron Cavity Model using Neural Network (in session "Poster/Demos")

Online image-based beam-dump anomaly detection (in session "Poster/Demos")

Online optimisations of lifetime and injection efficiency in the ESRF EBS storage ring (in session "Poster/Demos")

Optimization design of photocathode injector assisted by deep Gaussian process (in session "Poster/Demos")

Optimization of a Longitudinal Bunch Merge Gymnastic with Reinforcement Learning (in session "Poster/Demos")

Orbit correction by machine learning in TPS storage ring (in session "Poster/Demos")

PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators (in session "Tools for Humans")

Physics Informed and Bayesian Machine Learning for Maximization of Beam Polarization at RHIC (in session "Field Summaries")

Predicting preventable (slow) trips at NSLS-II (in session "Anomaly Detection / Failure Prediction")

Rapid Tuning or Synchrotron Surrogate Model at the Recycler Ring (in session "Poster/Demos")

Real-time Integration of Machine Learning for Beam Size Control at the Advanced Light Source (in session "Infrastructure / Deployment Workflows")

Real-time Reinforcement Learning on FPGA with Online Training for Autonomous Accelerators (in session "Optimization & Control")

Reinforcement Learning Based Radiation Optimization at a Linear Accelerator (in session "Poster/Demos")

Reinforcement Learning for Intensity Tuning at Large FEL Facilities (in session "Poster/Demos")

Research on Recognition of Quench and Flux Jump Based on Machine Learning (in session "Poster/Demos")

Reshaping SRF Cavity Resonance Management with Smart Techniques (in session "Poster/Demos")

RL-Based Control Strategies for HIPI Accelerator (in session "Poster/Demos")

Simulation methods of 3D coupled storage ring based on SLIM formalism (in session "Poster/Demos")

Simultaneous corrections of nonlinear errors in the LHC triplets using machine learning (in session "Poster/Demos")

Textual Analysis of ICALEPCS and IPAC Conference Proceedings: Revealing Research Trends, Topics, and Collaborations for Future Insights and Advanced Search (in session "Field Summaries")

The L-CAPE Project at FNAL (in session "Anomaly Detection / Failure Prediction")

The Reinforcement Learning for Autonomous Accelerators International Collaboration (in session "Poster/Demos")

Towards Natural Language-driven Autonomous Particle Accelerator Tuning (in session "Poster/Demos")

Towards Unlocking Insights from Logbooks using AI at DESY and BESSY (in session "Tools for Humans")

Transformer Tutorial (in session "Tutorials")

Trust Region Bayesian Optimization for Online Accelerator Control (in session "Poster/Demos")

4th ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators

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