DOE/Fermi National Accelerator Laboratory
The U.S. Department of Energy Office of Science has awarded funding to Fermilab to use machine learning to improve the operational efficiency of Fermilab's particle accelerators.
These machine learning algorithms, developed for the lab's accelerator complex, will enable the laboratory to save energy, provide accelerator operators with better guidance on maintenance and system performance, and better inform the research timelines of scientists who use the accelerators.
Engineers and scientists at Fermilab, home to the nation's largest particle accelerator complex, are designing the programs to work at a systemwide scale, tracking of all the data resulting from the operation of the complex's nine accelerators. The pilot system will be used on only a few accelerators, with the plan to extend the program tools to the entire accelerator chain.