3 papers
physics.acc-ph2026
AI-Ready Control System for the Fermilab Accelerator Complex
Tia Miceli, Erik Gottschalk, Donovan Tooke +15
Reliable, high-intensity operation of the Fermilab Accelerator Complex is critical to the success of the Long-Baseline Neutrino Facility and Deep Underground Neutrino Experiment. W…
hep-ex2025
eLog analysis for accelerators: status and future outlook
Antonin Sulc, Thorsten Hellert, Aaron Reed +11
This work demonstrates electronic logbook (eLog) systems leveraging modern AI-driven information retrieval capabilities at the accelerator facilities of Fermilab, Jefferson Lab, La…
physics.acc-ph2024
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…