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20042025
most citedThe Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. II. UV, Optical, and Near-IR Light Curves and Comparison to Kilonova Models

1k citations · 3.6k across the 31 of their papers we have counts for

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Showing 2019Show all

22 papers · 1 filter

astro-ph.CO2019★ 8 cited

Observation and Confirmation of Nine Strong Lensing Systems in Dark Energy Survey Year 1 Data

B. Nord, E. Buckley-Geer, H. Lin +63

We describe the observation and confirmation of \nbconfirmtext\ new strong gravitational lenses discovered in Year 1 data from the Dark Energy Survey (DES). We created candidate li…

astro-ph.GA2019

Search for RR Lyrae stars in DES ultra-faint systems: Grus I, Kim 2, Phoenix II, and Grus II

C. E. Martínez-Vázquez, A. K. Vivas, M. Foucoin +57

This work presents the first search for RR Lyrae stars (RRLs) in four of the ultra-faint systems imaged by the Dark Energy Survey (DES) using SOAR/Goodman and Blanco/DECam imagers.…

astro-ph.EP2019

Trans-Neptunian objects found in the first four years of the Dark Energy Survey

Pedro H. Bernardinelli, Gary M. Bernstein, Masao Sako +61

We present a catalog of 316 trans-Neptunian bodies detected by the Dark Energy Survey (DES). These objects include 245 discoveries by DES (139 not previously published) detected in…

astro-ph.CO2019

Dark Energy Survey Year 1 results: The relationship between mass and light around cosmic voids

Y. Fang, N. Hamaus, B. Jain +74

What are the mass and galaxy profiles of cosmic voids? In this paper we use two methods to extract voids in the Dark Energy Survey (DES) Year 1 redMaGiC galaxy sample to address th…

astro-ph.GA2019

Optimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging

Ting-Yun Cheng, Christopher J. Conselice, Alfonso Aragón-Salamanca +13

There are several supervised machine learning methods used for the application of automated morphological classification of galaxies; however, there has not yet been a clear compar…

astro-ph.CO2019

Detection of cross-correlation between gravitational lensing and gamma rays

S. Ammazzalorso, D. Gruen, M. Regis +75

In recent years, many gamma-ray sources have been identified, yet the unresolved component hosts valuable information on the faintest emission. In order to extract it, a cross-corr…