Machine Learning Techniques Enhance the Discovery of Excited Nuclear Levels in Sulfur-38 (IMAGE)

DOE/US Department of Energy

Machine Learning Techniques Enhance the Discovery of Excited Nuclear Levels in Sulfur-38

Caption

A representation of the machine learning approach used to classify sulfur-38 nuclei (38S) from all other nuclei created in a complex nuclear reaction (left) and the resulting ability to gain knowledge of the unique sulfur-38 quantum “fingerprint” (right).

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Image courtesy of Argonne National Laboratory

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Image courtesy of Argonne National Laboratory

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