
Using Nuclear Theory, Data and Uncertainties in Monte Carlo Transport Applications
Author(s) -
Michael Evan Rising
Publication year - 2015
Language(s) - English
Resource type - Reports
DOI - 10.2172/1312626
Subject(s) - nuclear data , monte carlo method , criticality , statistical physics , experimental data , multiplicity (mathematics) , computer science , propagation of uncertainty , uncertainty quantification , uncertainty analysis , nuclear physics , physics , mathematics , neutron , algorithm , simulation , statistics , mathematical analysis , machine learning