Detecting Neutron Sources by Borrowing Inference Tools from Cosmology

July 6, 2026
Read time: 5-15 mins

U-M engineers advanced existing methods for detecting faint cosmic signals, enabling them to identify neutron sources with more than 99% confidence. Their research could improve the detection of hazardous materials at borders and support first responders during emergencies. Read the full article to learn more.

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