Machine Learning for Astronomy: Galaxy Spectra going to the Gym
Today’s bite explores new machine learning techniques applied to understand the properties of galaxies based on their spectra.
The seeds that formed the garden of massive black holes
The wonderful population of massive black holes gardens seen in today’s galaxies were once seeds in the early universe. What were the seeds like ? Find out in today’s bite.
Peeking into the Birth of Stars in Faraway Galaxies: Revolutionary view of infrared emission with JWST observations
How do we learn about the environments in which stars form? Today’s guest post by Hamid Hassani describes what we’ve learned about stellar birthplaces with JWST!
Can you catch dark matter with a fish hook?
MOND and Dark Matter are both proposed theories to explain the flat rotation curves of galaxies…can we use simulations to tell us more about which might be the better theory?
Drink Your OJ 287
In today’s bite we drink a big glass of OJ 287 and discuss competing theories about its central supermassive black holes.
The search for the first stars to light up the Universe
One of JWST’s aims is to find the very first stars in the Universe – but is it up to the task?