A. Whitney

most citedGalaxy Merger Rates up to z

\sim

3 using a Bayesian Deep Learning Model

-

A Major-Merger classifier using IllustrisTNG Simulation data

90 citations · 120 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2020★ 90 cited

Galaxy Merger Rates up to z $\sim$ 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 $1 \leq z \leq 7$

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

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

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

Unbiased Differential Size Evolution and the Inside-Out Growth of Galaxies in the Deep CANDELS GOODS Fields at 1≤z≤7

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

Unbiased Differential Size Evolution and the Inside-Out Growth of Galaxies in the Deep CANDELS GOODS Fields at $1 \leq z \leq 7$