activity
20132026
most citedDark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 11.2k across the 225 of their papers we have counts for

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Showing astro-ph.GAShow all

33 papers · 1 filter

astro-ph.GA2025★ 3 cited

Euclid Quick Data Release (Q1) -- Data release overview

Euclid Collaboration, H. Aussel, I. Tereno +407

The first Euclid Quick Data Release, Q1, comprises 63.1 sq deg of the Euclid Deep Fields (EDFs) to nominal wide-survey depth. It encompasses visible and near-infrared space-based i…

astro-ph.GA2023

Cosmological shocks around galaxy clusters: A coherent investigation with DES, SPT & ACT

D. Anbajagane, C. Chang, E. J. Baxter +111

We search for signatures of cosmological shocks in gas pressure profiles of galaxy clusters using the cluster catalogs from three surveys: the Dark Energy Survey (DES) Year 3, the…

astro-ph.GA2023★ 2 cited

Dark Energy Survey Year 6 Results: Intra-Cluster Light from Redshift 0.2 to 0.5

Yuanyuan Zhang, Jesse B. Golden-Marx, Ricardo L. C. Ogando +46

Using the full six years of imaging data from the Dark Energy Survey, we study the surface brightness profiles of galaxy cluster central galaxies and intra-cluster light. We apply…

astro-ph.GA2022★ 31 cited

Timing the r-Process Enrichment of the Ultra-Faint Dwarf Galaxy Reticulum II

Joshua D. Simon, Thomas M. Brown, Burçin Mutlu-Pakdil +65

The ultra-faint dwarf galaxy Reticulum II (Ret II) exhibits a unique chemical evolution history, with 72 +10/-12% of its stars strongly enhanced in r-process elements. We present d…

astro-ph.GA2022★ 15 cited

A Sample of Dust Attenuation Laws for DES Supernova Host Galaxies

J. Duarte, S. González-Gaitán, A. Mourao +58

Type Ia supernovae (SNe Ia) are useful distance indicators in cosmology, provided their luminosity is standardized by applying empirical corrections based on light-curve properties…

astro-ph.GA2022★ 19 cited

Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88

We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…

astro-ph.GA2022

OzDES Reverberation Mapping Program: H lags from the 6-year survey

Umang Malik, Rob Sharp, A. Penton +64

Reverberation mapping measurements have been used to constrain the relationship between the size of the broad-line region and luminosity of active galactic nuclei (AGN). This …

astro-ph.GA2022★ 26 cited

Characterising the Intracluster Light over the Redshift Range in the DES-ACT Overlap

Jesse B. Golden-Marx, Y. Zhang, R. L. C. Ogando +66

We characterise the properties and evolution of Bright Central Galaxies (BCGs) and the surrounding intracluster light (ICL) in galaxy clusters identified in overlapping regions of…

astro-ph.GA2022

OzDES Reverberation Mapping Program: Mg II Lags and R-L relation

Zhefu Yu, Paul Martini, A. Penton +55

The correlation between the broad line region radius and continuum luminosity ( relation) of active galactic nuclei (AGN) is critical for single-epoch mass estimates of superm…

astro-ph.GA2022★ 41 cited

A galaxy-driven model of type Ia supernova luminosity variations

P. Wiseman, M. Vincenzi, M. Sullivan +59

Type Ia supernovae (SNe Ia) are used as standardisable candles to measure cosmological distances, but differences remain in their corrected luminosities which display a magnitude s…

astro-ph.GA2021★ 41 cited

Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): Insights from the Dark Energy Survey Deep Fields

Colin J. Burke, Xin Liu, Yue Shen +69

We present a sample of 706, active galactic nuclei (AGNs) selected from optical photometric variability in three of the Dark Energy Survey (DES) deep fields (E2, C3, and…

astro-ph.GA2021

Multi-wavelength Optical and NIR Variability Analysis of the Blazar PKS 0027-426

E. Guise, S. F. Hönig, T. Almeyda +62

We present multi-wavelength spectral and temporal variability analysis of PKS 0027-426 using optical griz observations from DES (Dark Energy Survey) between 2013-2018 and VOILETTE…

astro-ph.GA2021★ 60 cited

Galaxy Morphological Classification Catalogue of the Dark Energy Survey Year 3 data with Convolutional Neural Networks

Ting-Yun Cheng, Christopher J. Conselice, Alfonso Aragón-Salamanca +57

We present in this paper one of the largest galaxy morphological classification catalogues to date, including over 20 million of galaxies, using the Dark Energy Survey (DES) Year 3…

astro-ph.GA2021★ 53 cited

Rates and delay times of type Ia supernovae in the Dark Energy Survey

P. Wiseman, M. Sullivan, M. Smith +87

We use a sample of 809 photometrically classified type Ia supernovae (SNe Ia) discovered by the Dark Energy Survey (DES) along with 40415 field galaxies to calculate the rate of SN…

astro-ph.GA2021★ 39 cited

OzDES Reverberation Mapping Program: The first Mg II lags from five years of monitoring

Zhefu Yu, Paul Martini, A. Penton +63

Reverberation mapping is a robust method to measure the masses of supermassive black holes (SMBHs) outside of the local Universe. Measurements of the radius -- luminosity () r…

astro-ph.GA2021★ 17 cited

OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis

Andrew Penton, Umang Malik, Tamara Davis +66

We present the statistical methods that have been developed to analyse the OzDES reverberation mapping sample. To perform this statistical analysis we have created a suite of custo…

astro-ph.GA2020★ 44 cited

Pushing automated morphological classifications to their limits with the Dark Energy Survey

J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60

We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…

astro-ph.GA2020★ 46 cited

A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest

S. Mucesh, W. G. Hartley, A. Palmese +72

We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…

astro-ph.GA2020★ 34 cited

Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey

K. M. Stringer, A. Drlica-Wagner, L. Macri +67

We present a search for RR Lyrae stars using the full six-year data set from the Dark Energy Survey (DES) covering ~5,000 sq. deg. of the southern sky. Using a multi-stage multi-va…

astro-ph.GA2020★ 47 cited

Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock

Susmita Adhikari, Tae-hyeon Shin, Bhuvnesh Jain +113

We measure the projected number density profiles of galaxies and the splashback feature in clusters selected by the Sunyaev--Zeldovich (SZ) effect from the Advanced Atacama Cosmolo…

astro-ph.GA2020★ 113 cited

Shadows in the Dark: Low-Surface-Brightness Galaxies Discovered in the Dark Energy Survey

D. Tanoglidis, A. Drlica-Wagner, K. Wei +67

We present a catalog of 23,790 extended low-surface-brightness galaxies (LSBGs) identified in from the first three years of imaging data from the Dark Energy Survey…

astro-ph.GA2020

The Diffuse Light Envelope of Luminous Red Galaxies

Y. Leung, Y. Zhang, B. Yanny +53

We use a stacking method to study the radial light profiles of luminous red galaxies (LRGs) at redshift and , out to a radial range of 200 kpc. We do not fin…

astro-ph.GA2020★ 22 cited

A Deeper Look at DES Dwarf Galaxy Candidates: Grus I and Indus II

Sarah A. Cantu, Andrew B. Pace, Jennifer Marshall +11

We present deep - and -band Magellan/Megacam photometry of two dwarf galaxy candidates discovered in the Dark Energy Survey (DES), Grus I and Indus II (DES J2038-4609). For t…

astro-ph.GA2020★ 54 cited

Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?

H. Sampaio-Santos, Y. Zhang, R. L. C. Ogando +64

We explore the relation between diffuse intracluster light (central galaxy included) and the galaxy cluster (baryonic and dark) matter distribution using a sample of 528 clusters a…