2.2k citations · 8.8k across the 53 of their papers we have counts for
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astro-ph.GA2019★ 16 cited
Exploring the High-Mass End of the Stellar Mass Function of Star Forming Galaxies at Cosmic Noon
Sydney Sherman, Shardha Jogee, Jonathan Florez +9
We present the high-mass end of the galaxy stellar mass function using the largest sample to date (5,352) of star-forming galaxies with at cosmic no…
astro-ph.GA2019★ 50 cited
Learning the Relationship between Galaxies Spectra and their Star Formation Histories using Convolutional Neural Networks and Cosmological Simulations
Christopher C. Lovell, Viviana Acquaviva, Peter A. Thomas +3
We present a new method for inferring galaxy star formation histories (SFH) using machine learning methods coupled with two cosmological hydrodynamic simulations. We train Convolut…
astro-ph.IM2019★ 1 cited
Pushing the Technical Frontier: From Overwhelmingly Large Data Sets to Machine Learning
Viviana Acquaviva
This paper summarizes my thoughts, given in an invited review at the IAU symposium 341 "Challenges in Panchromatic Galaxy Modelling with Next Generation Facilities", about how mach…