activity
20082022
most citedUnveiling a Rich System of Faint Dwarf Galaxies in the Next Generation Fornax Survey

189 citations · 1.6k across the 34 of their papers we have counts for

collaborators

35 papers

astro-ph.GA2022★ 7 cited

The Next Generation Virgo Cluster Survey. XXXIII. Stellar Population Gradients in the Virgo Cluster Core Globular Cluster System

Youkyung Ko, Eric W. Peng, Patrick Côté +24

We present a study of the stellar populations of globular clusters (GCs) in the Virgo Cluster core with a homogeneous spectroscopic catalog of 692 GCs within a major axis distance…

astro-ph.GA2020★ 40 cited

The Next Generation Virgo Cluster Survey. XXXIV. Ultra-Compact Dwarf (UCD) Galaxies in the Virgo Cluster

Chengze Liu, Patrick Côté, Eric W. Peng +26

We present a study of ultra compact dwarf (UCD) galaxies in the Virgo cluster based mainly on imaging from the Next Generation Virgo Cluster Survey (NGVS). Using 100 deg$^{2}…

astro-ph.GA2019★ 12 cited

The Next Generation Fornax Survey (NGFS): VI. The Alignment of Dwarf Galaxies in The Fornax Cluster

Yu Rong, Thomas H. Puzia, Paul Eigenthaler +16

Using the photometric data from the Next Generation Fornax Survey, we find a significant radial alignment signal among the Fornax dwarf galaxies. For the first time, we report that…

astro-ph.GA2018★ 147 cited

The Next Generation Virgo Cluster Survey. XXIII. Fundamentals of nuclear star clusters over seven decades in galaxy mass

R. Sánchez-Janssen, P. Côté, L. Ferrarese +25

Using deep, high resolution optical imaging from the Next Generation Virgo Cluster Survey we study the properties of nuclear star clusters (NSCs) in a sample of nearly 400 quiescen…

astro-ph.GA2018★ 26 cited

A Collection of New Dwarf Galaxies in NGC5128's Western Halo

Matthew A. Taylor, Paul Eigenthaler, Thomas H. Puzia +5

We report the photometric properties of 16 dwarf galaxies, 15 of which are newly identified, in the Western halo of the nearby giant elliptical galaxy NGC5128. All candidates are f…

astro-ph.IM2018★ 1 cited

Galaxy detection and identification using deep learning and data augmentation

Roberto E. González, Roberto P. Muñoz, Cristian A. Hernández

We present a method for automatic detection and classification of galaxies which includes a novel data-augmentation procedure to make trained models more robust against the data ta…