StarXiv: a podcast discussing the latest astronomy papers
StarXiv: a podcast discussing the latest astronomy papers
Podcast Description
Hello! Welcome to the StarXiv, hosted by Dr Michelle Collins and Dr Payel Das. This is a biweekkly podcast that delves into the latest astronomy papers & results from the arXiv. Michelle and Payel are astronomers at the University of Surrey. They love research, but struggle to find time to read a lot of papers. They’re hoping this podcast fixes that. The beautiful logo is designed by Izzy Gray, a PhD student currently studying at the University of Surrey.
Podcast Insights
Content Themes
The podcast covers a variety of astronomical topics, including dark matter, black hole research, planetary discovery, and machine learning applications in cosmology, with episodes exploring themes such as constraints on mixed dark matter, black hole survival, and the potential detection of Earth-like planets.
Hello! Welcome to the StarXiv, hosted by Dr Michelle Collins and Dr Payel Das. This is a biweekly podcast that delves into the latest astronomy papers & results from the arXiv. Michelle and Payel are astronomers at the University of Surrey. They love research, but struggle to find time to read a lot of papers. They’re hoping this podcast fixes that. The beautiful logo is designed by Izzy Gray, a PhD student currently studying at the University of Surrey.
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
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