Classifying the equation of state from rotating core collapse gravitational waves with deep learning

In this paper, we seek to answer the question "given a rotating core collapse gravitational wave signal, can determine its nuclear equation of state?". To question, employ deep convolutional neural networks learn visual and temporal patterns embedded within (GW) signals in order predict state (EOS). Using 1824 GW simulations by Richers et al. (2017), which has 18 different EOS, consider be classic multi-class image classification sequence problem. We attain up 72\% correct classifications test set, if "top 5" most probable labels, increases 97\%, demonstrating that there is moderate measurable dependence signal on EOS.