Site • RSSDescription (podcaster-provided):
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.Themes and summary (AI-generated based on podcaster-provided show and episode descriptions):
➤ Astronomy papers discussion • Latest research findings • Astrophysics topics • Planetary systems • Dark matter • Black holes • Galaxy formation • Chemical evolution • Cosmology • Star clusters"StarXiv" is a biweekly podcast hosted by Dr. Michelle Collins and Dr. Payel Das from the University of Surrey, along with occasional guest appearances, that explores the latest astronomy research shared on arXiv. The podcast aims to provide insights into recent discoveries and developments in astronomy, making complex scientific content more accessible. Throughout its episodes, the podcast delves into a wide array of topics within astronomy and astrophysics.
The episodes often cover the detection and analysis of celestial bodies such as galaxies, planets, and black holes, utilizing innovative observational techniques and data from prominent telescopes like the JWST and Euclid. Episodes frequently discuss the formation and evolution of galaxies and stellar clusters, examining unique cosmic structures such as Einstein rings and collisional-ring galaxies. A recurring theme is the exploration of dark matter, often through the lens of galaxy dynamics, dark spiral arms, and cosmological models.
The podcast also addresses the composition and chemical evolution of astronomical bodies, emphasizing studies involving metal-poor environments and star formation processes. The hunt for extraterrestrial life and habitable exoplanets is a subject of intrigue, reflecting broader interest in cosmic phenomena like supernovae and pulsars. Another overarching theme is the use of machine learning and statistical methods to enhance the analysis of astronomical data.
Listeners can expect discussions that link theoretical models with observational evidence, offering a window into the scientific process behind astrological discoveries. The podcast serves both as a source of scientific knowledge and a platform for enthusiasts seeking to stay updated on current astronomy research.
