Physicists often use machine learning to automate the task of tuning particle accelerators in real time to get the best performance. Jan Kaiser at the German Electron Synchrotron (DESY) in Hamburg and ...
Alex Bogacz, a senior scientist at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility since 1997, has spent his career in accelerator physics solving problems. From ...
Researchers have long thought pure niobium superconducting radiofrequency cavities were best for particle accelerators. Researchers are now using a toolkit to learn how to add impurities to the ...
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