Move over neural networks! – A new method for cosmological inference


Neural networks have seen a lot of hype in astronomy and cosmology recently (even just on this site! However, it may be that the neural networks used to classify images in typical machine learning applications are overkill. To quote the authors of today's paper, "the cosmological density field is not as complex as random images of rabbits." Today's authors propose using a method called the "scattering transform" to take advantage of the best parts of neural networks with none of the limitations. The standard cosmological lore states that early on the universe underwent a phase of inflation that is responsible for laying down the initial conditions of the large-scale structure we see in the universe today.

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