Let’s Dust off the Hubble Constant
Could the Hubble Tension finally be solved with a little spring cleaning? It’s more likely than you think.
Turning on the Lights – Simulated Modeling of the Sources of Cosmic Reionization
Today’s paper investigates whether it really matters how stars and galaxies cause cosmic reionization.
Taking a Thumb off the Scale – Reevaluating Cosmological Neutrino Mass Bounds
Massive neutrinos are a thorn in the side of both the Standard Model and ΛCDM – today’s paper reconsiders what we can learn about them from some cosmological data!
Real (cosmological) information from simulated maps
Today’s paper proposes a machine learning method to recover fundamental cosmological parameters directly from sky maps. Will gastrophysics get in the way?
Watch your step! A new way for black holes to fall out of inflation
Today’s paper proposes a possible origin of LIGO/VIRGO black holes that takes us back to the earliest moments of the universe!
A Peculiar Use of AI: Predicting Cosmic Velocities with Neural Networks
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