Adjusting Accelerators with Help from Machine Learning

Credit: Image courtesy of Alexander Scheinker, Los Alamos National Laboratory

A computer-generated image based on a generative diffusion process shows 2D projections of a particle accelerator beam. Starting from pure noise, signals from the accelerator adaptively guide the process. As a result, each version is a little clearer.

« Adjusting Accelerators with Help from Machine Learning

Credit: Image courtesy of Alexander Scheinker, Los Alamos National Laboratory

At Los Alamos National Laboratory, physicist Alexander Scheinker develops new ways to use machine learning to improve particle accelerators’ performance.

« Adjusting Accelerators with Help from Machine Learning

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