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National labs drive nuclear innovations and uprates for the U.S. fleet
As the United States faces surging electricity demand driven by artificial intelligence, data centers, and a push to bring manufacturing back home, Idaho National Laboratory is leading an effort to modernize and expand the nation’s nuclear power capabilities by revamping the Department of Energy’s Light Water Reactor Sustainability (LWRS) Program.
Christopher R. Greulich, James Baciak (Univ of Florida), Kaushik Banerjee, Stylianos Chatzidakis (ORNL)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 1080-1084
A cosmic ray Muon Flexible Framework for Spectral Generation for Monte Carlo Applications (MUFFSgenMC) has been developed to support state-of-the-art cosmic ray muon detection and tomographic applications. The flexible framework allows for easy, fast creation of source terms for popular Monte Carlo applications such as GEANT4 and MCNP, simplifying the process of simulations. The flexible framework contains a variety of analytical, numerical, and parametric models that capture the main characteristics of the muon energy and angular distributions in the range 0 to 90 and at arbitrary energies. The primary model for muon energy distribution is an implementation of the Smith and Duller phenomenological model. The predictions for muon energies in ranging from 1 GeV to 1 TeV and zenith angles 0 to 90 are validated against an extensive series of experimental spectrum measurements. Finally, the open source code available on Matlab’s Mathworks File Exchange (https://www.mathworks.com/ matlabcentral/fileexchange/65585-muffsgenmc) was written to allow users to easily modify and expand the code. MUFFSgenMC can facilitate the study of cosmic ray muons for nuclear nonproliferation applications and will enable development of new muon-based detection and imaging techniques by providing an easy source term generator. 1