SLAC’s ACE3P Software

A diagram shows a curvy gray shape before (left) and after its shape is optimized by trimming away a section shown in green. A chart at center shows blue and red lines converging on an ideal target value over a number of simulation runs.

To find the best possible shape for an accelerator component (left), researchers often have to tweak a number of factors at the same time, which would be tedious and time-consuming if done by hand. Software like SLAC’s ACE3P allows them to automate many of these tasks. In this case, they wanted to minimize electromagnetic fields that pull electrons away from the cavity surfaces (blue line) while keeping the electron beam (red line) traveling through the cavity at a particular frequency (green line and dot). Performing this complex task usually takes a number of simulation runs. In this case, the research team was able to reach both of their targets by removing a small amount of material (green) from one of the cavity’s internal surfaces. 

Greg Stewart/SLAC National Accelerator Laboratory

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