In this episode, Michelle and Nicole discuss machine learning methods to classify merging galaxies and different classes of supernova. They also look into whether planetary engulfment can explain unsual chemical signatures in some binary systems, and dive deep into some beautiful MUSE data for a spiral galaxy at redshift 0.09. Check it out below, on Spotify, Apple podcasts, or wherever you get your podcasts!

Check out the papers we featured below

A Deep Study of the Spiral Galaxy W2246f – Evelyn J. Johnston et al.

Chemical paradox in a binary system: Exploring metal enrichment in HD 81809B – Nuno Moedas et al.

Vision-Language Model Ensembles Achieve Human-Expert Accuracy for Galaxy Merger Classification – Marco Chiaberge et al.

Photometry is all you need: supernova classification as a mixing problem – Ana Sofía M. Uzsoy & V. Ashley Villar