Episode 10 - Mixing dark matter, surviving black holes and hunting for planets

This episode, Michelle and Payel delve into the latest constraints on mixed dark matter from the Lyman alpha forest, what happens to stars that get a little too close to a black hole, how machine learning can help identify stars likely to host an Earth-like planet, studying the dark ages from the Moon and witnessing the birth of nuclear star clusters! Check out the episode and papers below!

Constraining Mixed Dark Matter models with high redshift Lyman-alpha forest data - Olga Garcia-Gallego et al.

Black Hole Survival Guide: Searching for Stars in the Galactic Center That Endure Partial Tidal Disruption - Rewa Clark Bush et al.

Earth-like planet predictor: A machine learning approach - Jeanne Davoult et al.

Detecting the 21 cm Signal of the Cosmic Dark Ages - Willow Smith and Jonathan Pober

Evidence of star cluster migration and merger in dwarf galaxies - Mélina Poulain et al.