In 2021, a collaboration of NSD scientists from the Applied Nuclear Physics, Low-Energy Nuclear Physics, and the 88” Cyclotron programs received funding through a DOE Office of Science FOA for “Data Analytics for Autonomous Optimization and Control of Accelerators and Detectors” to explore application of machine learning approaches to the operations of both the VENUS ion source and the GRETA γ-ray detector array. This project is led by Damon Todd from the Low Energy Nuclear Physics program, Marco Salathe from the Applied Nuclear Physics program, and Heather Crawford from the Low Energy Nuclear Physics program.

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Exploring Machine Learning at VENUS
April 3, 2023 / Berkeley Lab Nuclear Science Division News