Learning from virtual experiments to assist users of Small Angle Neutron Scattering in model selection
José Ignacio Robledo,
Henrich Frielinghaus,
Peter Willendrup
et al.
Abstract:In this work we combine the advantages of Small Angle Neutron Scattering (SANS) Monte Carlo simulations with the recent advances in computer vision to generate a tool that can assist SANS users in form factor model selection. We generate adataset of almost 260.000 SANS virtual experiments of the SANS beamline KWS-1 at FRM-II, Germany, intended for Machine Learning purposes. Then, we train a recommendation system based on an ensemble of Convolutional Neural Networks to predict the form factor model from the two… Show more
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