2 citations · 3 across the 3 of their papers we have counts for
4 papers
Machine Learning Based ROI Segmentation for Beam Imaging Diagnostics at Accelerators
Prachiti Sujit Chandratreya, Frank Mayet, Sergey Tomin +1
The European XFEL accelerator produces high-brightness X-ray pulses using relativistic electron beams. Beam characterization is performed at multiple diagnostic stations using scin…
From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure
Thorsten Hellert, Nikolay Agladze, Alex Giovannone +5
Modern experimental platforms such as particle accelerators, fusion devices, telescopes, and industrial process control systems expose tens to hundreds of thousands of control and…
Towards Unlocking Insights from Logbooks Using AI
Antonin Sulc, Alex Bien, Annika Eichler +15
Electronic logbooks contain valuable information about activities and events concerning their associated particle accelerator facilities. However, the highly technical nature of lo…
GAIA: A General AI Assistant for Intelligent Accelerator Operations
Frank Mayet
Large-scale machines like particle accelerators are usually run by a team of experienced operators. In case of a particle accelerator, these operators possess suitable background k…