activity
19942019
most citedLSST: from Science Drivers to Reference Design and Anticipated Data Products

3.5k citations · 11.1k across the 70 of their papers we have counts for

collaborators

70 papers

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★ 7 cited

Constraining Radio Mode Feedback in Galaxy Clusters with the Cluster Radio AGN Properties to z1

N. Gupta, M. Pannella, J. J. Mohr +58

We study the properties of the Sydney University Molonglo Sky Survey (SUMSS) 843~MHz radio AGN population in galaxy clusters from two large catalogs created using the Dark Energy S…

astro-ph.GA2019★ 29 cited

Spectral Variability of a Sample of Extreme Variability Quasars and Implications for the MgII Broad-line Region

Qian Yang, Yue Shen, Yu-Ching Chen +49

We present new Gemini/GMOS optical spectroscopy of 16 extreme variability quasars (EVQs) that dimmed by more than 1.5 mag in the band between the Sloan Digital Sky Survey (SDSS…

astro-ph.SR2019★ 44 cited

Brown dwarf census with the Dark Energy Survey year 3 data and the thin disk scale height of early L types

A. Carnero Rosell, B. Santiago, M. dal Ponte +44

In this paper we present a catalogue of 11,745 brown dwarfs with spectral types ranging from L0 to T9, photometrically classified using data from the Dark Energy Survey (DES) year…

astro-ph.GA2019★ 25 cited

Rediscovery of the Sixth Star Cluster in the Fornax Dwarf Spheroidal Galaxy

Mei-Yu Wang, Sergey Koposov, Alex Drlica-Wagner +58

Since first noticed by Shapley in 1939, a faint object coincident with the Fornax dwarf spheroidal has long been discussed as a possible sixth globular cluster system. However, deb…

astro-ph.CO2019★ 11 cited

The Buzzard Flock: Dark Energy Survey Synthetic Sky Catalogs

Joseph DeRose, Risa H. Wechsler, Matthew R. Becker +52

We present a suite of 18 synthetic sky catalogs designed to support science analysis of galaxies in the Dark Energy Survey Year 1 (DES Y1) data. For each catalog, we use a computat…

astro-ph.CO2019★ 85 cited

Dark Energy Survey Year 1 Results: Calibration of Cluster Mis-centering in the redMaPPer Catalogs

Y. Zhang, T. Jeltema, D. L. Hollowood +83

The center determination of a galaxy cluster from an optical cluster finding algorithm can be offset from theoretical prescriptions or -body definitions of its host halo center.…

astro-ph.CO2018★ 75 cited

A New RASS Galaxy Cluster Catalog with Low Contamination Extending to in the DES Overlap Region

Matthias Klein, Sebastian Grandis, Joseph Mohr +2

We present the MARD-Y3 catalog of between 1086 and 2171 galaxy clusters (52\% and 65\% new) produced using multi-component matched filter (MCMF) followup in 5000\,deg of DES-Y3…

astro-ph.HE2018★ 105 cited

Superluminous Supernovae from the Dark Energy Survey

C. R. Angus, M. Smith, M. Sullivan +72

We present a sample of 21 hydrogen-free superluminous supernovae (SLSNe-I), and one hydrogen-rich SLSN (SLSN-II) detected during the five-year Dark Energy Survey (DES). These SNe,…

astro-ph.HE2018★ 21 cited

A Search for Optical Emission from Binary-Black-Hole Merger GW170814 with the Dark Energy Camera

Z. Doctor, R. Kessler, K. Herner +96

Binary black hole (BBH) mergers found by the LIGO and Virgo detectors are of immense scientific interest to the astrophysics community, but are considered unlikely to be sources of…

astro-ph.GA2018★ 19 cited

Candidate Massive Galaxies at in the Dark Energy Survey

Pierandrea Guarnieri, Claudia Maraston, Daniel Thomas +52

Using stellar population models, we predicted that the Dark Energy Survey (DES) - due to its special combination of area (5000 deg. sq.) and depth () - would be in the po…

astro-ph.CO2018★ 72 cited

More out of less: an excess integrated Sachs-Wolfe signal from supervoids mapped out by the Dark Energy Survey

A. Kovács, C. Sánchez, J. García-Bellido +68

The largest structures in the cosmic web probe the dynamical nature of dark energy through their integrated Sachs-Wolfe imprints. In the strength of the signal, typical cosmic void…

astro-ph.CO2018★ 94 cited

Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing

S. Samuroff, J. Blazek, M. A. Troxel +70

We perform a joint analysis of intrinsic alignments and cosmology using tomographic weak lensing, galaxy clustering and galaxy-galaxy lensing measurements from Year 1 (Y1) of the D…

astro-ph.CO2018★ 80 cited

Measurement of the Splashback Feature around SZ-selected Galaxy Clusters with DES, SPT and ACT

T. Shin, S. Adhikari, E. J. Baxter +107

We present a detection of the splashback feature around galaxy clusters selected using their Sunyaev-Zel'dovich (SZ) signal. Recent measurements of the splashback feature around op…

astro-ph.CO2018★ 94 cited

First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

R. Kessler, D. Brout, C. B. D'Andrea +103

We describe catalog-level simulations of Type Ia supernova (SN~Ia) light curves in the Dark Energy Survey Supernova Program (DES-SN), and in low-redshift samples from the Center fo…

astro-ph.IM2018★ 93 cited

First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release

D. Brout, M. Sako, D. Scolnic +89

We present griz light curves of 251 Type Ia Supernovae (SNe Ia) from the first 3 years of the Dark Energy Survey Supernova Program's (DES-SN) spectroscopically classified sample. T…

astro-ph.CO2018★ 106 cited

Cosmological Constraints from Multiple Probes in the Dark Energy Survey

DES Collaboration, T. M. C. Abbott, A. Alarcon +166

The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Su…

astro-ph.CO2018★ 276 cited

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

T. M. C. Abbott, S. Allam, P. Andersen +141

We present the first cosmological parameter constraints using measurements of type Ia supernovae (SNe Ia) from the Dark Energy Survey Supernova Program (DES-SN). The analysis uses…

astro-ph.EP2018★ 15 cited

Dynamical Analysis of Three Distant Trans-Neptunian Objects with Similar Orbits

T. Khain, J. C. Becker, F. C. Adams +62

This paper reports the discovery and orbital characterization of two extreme trans-Neptunian objects (ETNOs), 2016 QV and 2016 QU, which have orbits that appear simil…

astro-ph.CO2018★ 146 cited

Dark Energy Survey Year 1 Results: Methods for Cluster Cosmology and Application to the SDSS

M. Costanzi, E. Rozo, M. Simet +83

We perform the first blind analysis of cluster abundance data. Specifically, we derive cosmological constraints from the abundance and weak-lensing signal of \redmapper\ clusters o…

astro-ph.CO2018★ 31 cited

Dark Energy Survey Year 1 Results: Cross-correlation between DES Y1 galaxy weak lensing and SPT+Planck CMB weak lensing

Y. Omori, E. Baxter, C. Chang +137

We cross-correlate galaxy weak lensing measurements from the Dark Energy Survey (DES) year-one (Y1) data with a cosmic microwave background (CMB) weak lensing map derived from Sout…

astro-ph.GA2018★ 33 cited

A catalogue of structural and morphological measurements for DES Y1

F. Tarsitano, W. G. Hartley, A. Amara +60

We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parame…

astro-ph.CO2018★ 17 cited

Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data

A. I. Salvador, F. J. Sánchez, A. Pagul +52

Non-linear bias measurements require a great level of control of potential systematic effects in galaxy redshift surveys. Our goal is to demonstrate the viability of using Counts-i…

astro-ph.GA2018★ 92 cited

Transfer learning for galaxy morphology from one survey to another

H. Domínguez Sánchez, M. Huertas-Company, M. Bernardi +56

Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorit…