Learning from virtual experiments to assist users of Small Angle Neutron Scattering in model selection
Abstract In this work, we combine the advantages of virtual Small Angle Neutron Scattering (SANS) experiments carried out by Monte Carlo simulations with the recent advances in computer vision to generate a tool that can assist SANS users in small angle scattering model selection.We generate a dataset of almost 260.000 SANS virtual Blood Pressure M