Episode 37 - Lunar craters, primordial black holes & growing galaxies

In this episode, Michelle and Payel talk about the asymmetry in the number of craters across the moon, using microlensing to find primordial black holes, tracing the growth of disk galaxies since z~1, and using machine learning to detect group galaxies merging with massive clusters.

Check out the papers we discussed below:

Lunar ejecta as the missing piece to resolving lunar cratering asymmetry - Hailiang Li et al.

AMPM II. — A Lunar-Mass Primordial Black Hole Microlensing Candidate in the Milky Way Halo - Renee Key et al.

Witnessing the rapid growth of disk galaxies over cosmic time using JWST and HST - Samane Raji et al.

Identifying group galaxies merging with massive clusters using machine learning - Rhys Jordan et al.