activity
20192021
most citedGalaxy Merger Rates up to z 3 using a Bayesian Deep Learning Model A Major-Merger classifier using IllustrisTNG Simulation data

90 citations · 192 across the 4 of their papers we have counts for

collaborators

4 papers

astro-ph.GA2021★ 52 cited

Galaxy Evolution in all Five CANDELS Fields and IllustrisTNG: Morphological, Structural, and the Major Merger Evolution to

A. Whitney, L. Ferreira, C. J. Conselice +1

A fundamental feature of galaxies is their structure, yet we are just now understanding the evolution of structural properties in quantitative ways. As such, we explore the quantit…

astro-ph.GA2020★ 20 cited

Surface Brightness Evolution of Galaxies in the CANDELS GOODS Fields up to : High-z Galaxies are Unique or Remain Undetected

Amy Whitney, Christopher Conselice, Kenneth Duncan +1

We investigate the rest-frame Ultraviolet (UV, Å) surface brightness (SB) evolution of galaxies up to using a variety of deep Hubble Space Telescope imaging. UV…

astro-ph.GA2020★ 90 cited

Galaxy Merger Rates up to z 3 using a Bayesian Deep Learning Model A Major-Merger classifier using IllustrisTNG Simulation data

Leonardo Ferreira, Christopher J. Conselice, Kenneth Duncan +3

Merging is potentially the dominate process in galaxy formation, yet there is still debate about its history over cosmic time. To address this we classify major mergers and measure…

astro-ph.GA2019★ 30 cited

Unbiased Differential Size Evolution and the Inside-Out Growth of Galaxies in the Deep CANDELS GOODS Fields at

Amy Whitney, Christopher J. Conselice, Rachana Bhatawdekar +1

We present a size analysis of a sample of 49,000 galaxies from the CANDELS GOODS North and South fields using redshift-independent relative surface brightness metrics to det…