How to Make Genetically Engineered Halos in Cosmological Simulations
Today’s guest post takes a look at a technique that cleverly tweaks simulated galaxy halos very early on in their lives in order to direct their growth in a specific way
UR: deepCR-ACS/WFC: Cosmic-Ray Rejection Model for HST ACS/WFC Photometry
In the latest of our #UndergradResearch series, discover James Kwon’s research on how deep learning is revolutionizing the removal of cosmic-ray contamination from Hubble images.
Galactic thick discs bursting onto the scene
The Milky Way’s disc is made up of two components — but where did they come from?
UR: Using Machine Learning to Identify Transients in the DESI Survey
Today’s undergraduate post talks about how to use machine learning to find transients in galactic spectra!
UR: Understanding the Balance of Star Formation and Black Holes in Nearby Luminous Infrared Galaxies
In today’s #UndergradResearch post, Meredith Stone shares how she used Spitzer spectra to learn about the evolution of galaxies through their star formation and AGN activity.
A Resolved Starburst Merger and an Unresolved Dust Problem
What’s going on behind the dust in starburst galaxy SHiZELS-14? Today’s authors use highly resolved data to find out!