A common response to these issues raised by astronomers is to move observational equipment to LEO as well. Today’s paper covers exactly such a case, in which the Hubble Space Telescope still suffers the effects of satellite streaks.
In today’s bite, we look at how machine learning allows us to get a sharper image of our favorite space donut, the M87 black hole!
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!