3.1k citations · 28k across the 184 of their papers we have counts for
Showing 2022 · astro-ph.GAShow all
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astro-ph.GA2022★ 42 cited
: Learning Galaxy Properties from Merger Trees
Christian Kragh Jespersen, Miles Cranmer, Peter Melchior +3
Efficiently mapping baryonic properties onto dark matter is a major challenge in astrophysics. Although semi-analytic models (SAMs) and hydrodynamical simulations have made impress…
astro-ph.GA2022★ 15 cited
Charting Galactic Accelerations with Stellar Streams and Machine Learning
Jacob Nibauer, Vasily Belokurov, Miles Cranmer +2
We present a data-driven method for reconstructing the galactic acceleration field from phase-space measurements of stellar streams. Our approach is based on a flexible and differe…