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.
The Milky Way’s disc is made up of two components — but where did they come from?
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.
What’s going on behind the dust in starburst galaxy SHiZELS-14? Today’s authors use highly resolved data to find out!
Today’s authors discover a distant galaxy cloaked in dusty darkness, and consider what it might reveal about galaxy evolution in the early Universe