120 citations · 587 across the 16 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
astro-ph.GA2017★ 71 cited
Painting galaxies into dark matter halos using machine learning
Shankar Agarwal, Romeel Davé, Bruce A. Bassett
We develop a machine learning (ML) framework to populate large dark matter-only simulations with baryonic galaxies. Our ML framework takes input halo properties including halo mass…
astro-ph.CO2017★ 23 cited
zBEAMS: A unified solution for supernova cosmology with redshift uncertainties
Ethan Roberts, Michelle Lochner, José Fonseca +3
Supernova cosmology without spectra will be an important component of future surveys such as LSST. This lack of supernova spectra results in uncertainty in the redshifts which, if…