Machine learning techniques for analyzing multi-neutron decay measurements

The goal of this project is to provide students at Virginia State University (VSU) with opportunities to pursue nuclear science research while developing useful skills and connections to the nuclear science community. There are two main science goals of the project: (1) to develop a library of multi-neutron events from various measurements made by the MoNA Collaboration and (2) to explore the applicability of machine learning methods to differentiating between events in which two neutrons are detected and events in which one neutron scattering multiple times was recorded. Through their work, students will develop computer programming, data analysis/visualization, and science communication skills. Through working with the MoNA Collaboration, visits to the Facility for Rare Isotope Beams, and involvement with the Institute for Nuclear Science to Inspire the Next Generation of a Highly Trained Workforce (INSIGHT), students will be introduced to and work with the nuclear science community in order to introduce them to a range of academic and career opportunities. The motivations and structure for this research program will be discussed and some preliminary results will be presented.