89 citations · 184 across the 13 of their papers we have counts for
3 papers · 1 filter
: 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…
Finding Peas in the Early Universe with JWST
James E. Rhoads, Isak G. B. Wold, Santosh Harish +6
The Early Release Observations (EROs) of JWST beautifully demonstrate the promise of JWST in characterizing the universe at cosmic dawn. We analyze the ERO spectra of three $z \sim…
Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite
Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro +5
As the next generation of large galaxy surveys come online, it is becoming increasingly important to develop and understand the machine learning tools that analyze big astronomical…