by Ryan Golant | May 26, 2021 | Daily Paper Summaries
When studying the Universe becomes too complicated for human brains, we turn to artificial intelligence! Check out how today’s authors used a neural network to predict motions on the Universe’s largest scales
by Jamie Sullivan | May 1, 2021 | Classics, Daily Paper Summaries
Today’s classic paper explains why the baryon acoustic oscillation feature faithfully ferries cosmological information to the late universe.
by Jamie Sullivan | Sep 24, 2020 | Daily Paper Summaries
Do you ever feel empty inside? Almost as if there’s a void? Well cosmologists want to use YOU to learn about the universe.
by Jamie Sullivan | Aug 21, 2020 | Daily Paper Summaries
Early dark energy has seen a lot of attention as a solution to the Hubble tension. Today’s paper rains on its parade!
by Jamie Sullivan | Jul 30, 2020 | Daily Paper Summaries
Should neural networks give up trying to model cosmology and stick to sorting cat photos? Find out in todays post!
by Laila Linke | May 28, 2020 | Daily Paper Summaries
Modern cosmology relies on large numerical simulations. However, creating them requires a lot of memory and computational time. Today’s paper describes a technique that can dramatically decrease the computational cost of simulations – by focusing on the most important parts of the simulation and reducing waste!