In an era of increasing reliance on computers to classify astrophysical imagery, what role do humans have to play? Today’s paper examines human biases in visual searches for gravitational lensing.
Today’s authors present a new machine learning approach to modeling galaxy spectra!
How does one measure the gravitational wave signal of a supernova if each event is unique? Is machine learning up to the task? Or is it unknowable?
Adding galaxies to dark matter simulations might be easier than you thought – today’s authors present a new method to generate synthetic data from relatively low-resolution DM simulations!
Astronomers have a challenging task ahead of them — to find young exoplanets in protoplanetary disks. Machine Learning could potentially come to the rescue.
Today’s guest post by Paolo Cremonese explores the application of deep learning methods to the search for gravitational waves.