A podcast where Payel Das (@payeldas.bsky.social) and Michelle Collins (@runningastronomer.bsky.social) discuss papers from astroph
Starxiv.com
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The StarXiv ✨ podcast
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Michelle's second paper asked if we can classify supernova from photometry alone. This is not without problems, given imbalance of types of supernova in training sets, and shifting between different datasets. But, this teams mixing approach works really well! arxiv.org/abs/2605.28922 ☄️ 🔭
Payel's second paper uses detailed observations from JWST and HST to derive age and metallicity profiles in redshift-one galaxies and better constrain the balance between evolutionary processes driving disk growth. Find out more at arxiv.org/pdf/2605.15327 ☄️🔭
Episode 38 is live! Tune in below or anywhere you get podcast to hear Michelle and Nicole discuss machine learning methods for classifying mergers and supernova, unusual chemistry in binary systems and an awesome spiral galaxy with exquisite deep MUSE data. starxiv.com/2026/06/08/e... 🔭 ☄️
Michelle's first paper looked at using vision-language models and a Bayesian uncertainty framework for classifying galaxies undergoing mergers, Turns out, the machines can do as well as human experts! 🔭 ☄️https://arxiv.org/abs/2606.00415
Our latest episode is live! Check it out at our website or wherever you get your podcasts ☄️🔭
Episode 37 – Lunar craters, primordial black holes & growing galaxies – The StarXiv share.google/V8rnL5YYGqL0...
In her second paper, Michelle discusses a machine learning technique to classify groups of galaxies that are falling in to clusters. If we can study these in detail, we can learn about the impact of the cluster on these galaxies before they fall in. Tune in for more! arxiv.org/abs/2605.14930 🔭 ☄️
Episode 38 – merging galaxies, exploding stars and the beauty of individual galaxies
In this episode, Michelle and Nicole explore machine learning techniques for classifying merging galaxies and supernovae. They discuss planetary engulfment's role in unusual chemical signatures in binary systems…
Nicole's first paper asks if a swallowed planet explains why one star in the HD 81809 binary is far more iron-rich than its twin. The problem: any planet big enough to fix the iron adds too much lithium. The iron needs ~50 Earth-masses to match, the lithium needs under 6. arxiv.org/abs/2605.31060 ☄️🔭
Nicole's second paper is a deep look at one ordinary spiral, W2246f, mapped edge to edge with MUSE. Its centre looks like it hosts an active nucleus using standard diagnostics, but better diagnostics show it's just old, quiet stars; a galaxy quenching from the inside out. arxiv.org/abs/2605.29014 ☄️🔭
Michelle discusses the detection of Phoebe, a possible primordial black hole (PBH) in the Milky Way halo. Using DECam and microlensing, this object was found and the paper describes how they come to the conclusion that it is a likely PBH. Tune in to discover more! arxiv.org/abs/2605.19375 🔭 ☄️
The StarXiv ✨ podcast
The StarXiv ✨ podcast
The StarXiv ✨ podcast
The StarXiv ✨ podcast
In this episode, Michelle and Nicole explore primordial magnetic fields, the memory of Galactic mergers, and the origins of Venus’s carbon dioxide atmosphere. They also examine how Galactic s…
In this episode, Michelle and Nicole explore machine learning techniques for classifying merging galaxies and supernovae. They discuss planetary engulfment's role in unusual chemical signatures in binary systems and analyse MUSE data of a spiral galaxy.
In the era of large-scale photometric surveys, scalable and robust methods for classifying supernova (SN) populations are increasingly necessary. Often, spectroscopy is essential in addition to…
