Science Daily  July 22, 2022 Explosions produce infrasound waves capable of propagating globally, but the spatio-temporal variability of the atmosphere makes detecting events difficult. Machine learning (ML) is well-suited to identify the subtle and nonlinear patterns in explosion infrasound signals, but a previous lack of ground-truth data inhibited training of generalized models. A team of researchers in the US (University of Alaska, Air Force, University of Mississippi, Los Alamos National Laboratory) has developed a physics-based method that propagates infrasound sources through realistic atmospheres to create 28,000 synthetic events, which are used to train ML classifiers. A simple artificial neural network […]