Reconstructing the Galactic merger history with machine learning
Astronomers use machine learning to reconstruct past mergers that the Milky Way experienced.
A supercomputer made of idle CPUs rewinds stellar streams
Astronomers connect volunteered computers on MilkyWay@home and model the dark matter content of dwarf galaxies.
Finding fire-breathing dragons in the Milky Way
Dark matter subhalos are invisible and hard to detect, but astronomers in today’s paper use stellar streams to take a stab.