2nd GSI/FAIR AI Workshop

An AI chat assistant based on open-source large language models (LLMs) to provide context-aware guidance and answer questions related to the GSI/FAIR accelerators and their operation. The model runs locally, using prompt engineering and retrieval-augmented generation (RAG) to gain access to shift data from operations and domain knowledge spread across the various GSI wikis.

A fully on-premise hybrid RAG system that makes electronic logbook entries searchable in natural language, surfacing expert knowledge that keyword search misses.

SIS-SYS develops beam-based feedback, automated control and expert-diagnostic systems for SIS18 and SIS100, combining classical DSP and control methods with numerical models and, increasingly, ML/AI-based approaches.

A central focus is how beam-data-driven algorithms are qualified and maintained over the long term through physics-informed digital twins that provide a reproducible...

Since 10 years we are maintaining a Java application "DeviceAutomator" ready for use in the control room. Step by step this application is enhanced by AI-powered functionality - classical optimizers until now. We want to report on the latest developments, application scenarios and how we use DeviceAutomator in our daily work.

This contribution presents the ideas for an AI-assisted beamline optimisation framework for the FRS/Super-FRS Ion Catcher. The project will explore the use of machine-learning algorithms together with ion-optical simulations and offline measurements to automate tuning of the low-energy beamline and reduce reliance on manual optimisation.

The GSI/FAIR facility’s complexity demands a high degree of automation for future operations. As part of this effort, we developed Geoff, a framework for real-time optimization of beam parameters and experimental setups designed for fast deployment and control room integration. Geoff significantly improves operational performance, having reduced SIS18 synchrotron injection losses from 45% to...

At the GSI Helmholtz Centre, civil engineering, research, plant engineering and operations work in separate data and tool environments. "Twin+" does not replace these systems but places an integration layer on top of them. The existing building and asset data remain in their respective domain systems and are made accessible across disciplines through an access layer based on the Model Context...

The Helmholtz Information & Data Science Academy (HIDA) is dedicated to the development of information and data science skills within the Helmholtz Association. HIDA offers a comprehensive range of training opportunities and promotes the exchange of knowledge between scientists through funding, mobility programs, and networking events. HIDA also serves as the umbrella organization for seven...