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!
Is That a Supernova? Classifying Transients in Real-Time with Machine Learning
A neural network enables transient classification with ongoing observations, potentially providing astronomers with more time to study the transient while it is still occurring.
Classifying Supernovae
A starter guide to classifying supernovae based on their light curves and spectra.
The Strange Naming Conventions of Astronomy
Let’s face it: some astronomical systems don’t make any sense. Join us for a look at the history of some of these terms, as we try to understand why stellar spectral classification and the magnitude system work like they do.
“What’s in a name?” Classifying Hot Jupiters into Four Classes
Astronomers have started trying to understand how to organize classes of exoplanets based on their physical characteristics. As it has turned out over the last ten years, exoplanets are considerably more complicated to classify than stars. The evolution of star is based (almost) exclusively on how massive it is at birth. Instead, this paper classifies hot exoplanets by their level of irradiation from their host star and their chemical composition.
A New Class of Quasar?
In this paper, the authors describe a new class of quasar which pushes the boundaries of our current understanding of black hole physiology.