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!
Dust in Time – Supernovae May Not Destroy Dust As Quickly As We Think
The dust destruction efficiency of supernovae may not be a high as we previously thought. Why is this, and what can it tell us about star formation?
FRBs are spiraling out of control
We may have detected a lot of fast radio bursts this year, but the journey to discover where they come from is far from complete!
Smashing Neutrons: On the Origin of Extreme r-process Enhanced Stars
Heavy elements require extreme conditions to be produced. Today’s bite explores three unique stars that may give us additional clues on how that happens.
How Many Years Does it Take to Get to the Center of a Supernova Remnant?
After more than 30 years, have astronomers finally discovered what the compact object at the center of Supernova 1987A is?
Meet the AAS Keynote Speakers: Prof. Christopher Kochanek
Thanks to astronomical surveys, we now know our night sky is constantly alight with variable objects. Tune in to Prof. Christopher Kochanek’s Dannie Heineman Prize talk at #AAS237 to learn about how small telescopes can change the way we observe our rapidly changing universe!