Using Machine Learning to Make A Really Big Detailed Simulation
In today’s astrobite, we examine an application of machine learning in astronomy that may enable new breakthroughs in simulations of large scale structure.
Anything Can be a Dark Matter Detector
It turns out that just about anything can be a dark matter detector! Tiny tunnels in materials could be indicative of primordial black holes (PBHs) whizzing through the universe.
Red Giants Have it All: Dark Matter Constraints from Stellar Evolution
How can astronomers use existing understandings of stellar evolution to better study dark matter?
Exploring the Zone of Avoidance: hidden structures
Today’s bite will look at how astronomers have recently made observations to search for large-scale structure hidden by the Milky Way’s Zone of Avoidance.
Tracing the chemistry of our galactic ancestors
High-redshift galaxies are the keys to understanding our own galactic history, and today’s authors show us how.
Correlating galaxies with the temperature of Cosmic Microwave Background photons to probe cosmology
Today’s bite will discuss how we can combine the fluctuations in the temperature of the oldest photons in the Universe with the presence of galaxies in the sky to measure motions.