activity
19982025
most citedThe Seventh Data Release of the Sloan Digital Sky Survey

5.4k citations · 27.8k across the 235 of their papers we have counts for

collaborators
Showing 2020Show all

44 papers · 1 filter

astro-ph.CO2020★ 42 cited

The Dark Energy Survey Supernova Program: Modelling selection efficiency and observed core collapse supernova contamination

M. Vincenzi, M. Sullivan, O. Graur +79

The analysis of current and future cosmological surveys of type Ia supernovae (SNe Ia) at high-redshift depends on the accurate photometric classification of the SN events detected…

astro-ph.CO2020★ 55 cited

Dark Energy Survey Year 3 Results: Calibration of Lens Sample Redshift Distributions using Clustering Redshifts with BOSS/eBOSS

R. Cawthon, J. Elvin-Poole, A. Porredon +83

We present clustering redshift measurements for Dark Energy Survey (DES) lens sample galaxies to be used in weak gravitational lensing and galaxy clustering studies. To perform thi…

astro-ph.CO2020★ 4 cited

Dark Energy Survey Year 3 Results: Deep Field Optical + Near-Infrared Images and Catalogue

W. G. Hartley, A. Choi, A. Amon +115

We describe the Dark Energy Survey (DES) Deep Fields, a set of images and associated multi-wavelength catalogue () built from Dark Energy Camera (DECam) and Visible and…

astro-ph.CO2020★ 176 cited

Dark Energy Survey Year 3 Results: Redshift Calibration of the Weak Lensing Source Galaxies

J. Myles, A. Alarcon, A. Amon +105

Determining the distribution of redshifts of galaxies observed by wide-field photometric experiments like the Dark Energy Survey is an essential component to mapping the matter den…

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.CO2020★ 23 cited

Consistency of cosmic shear analyses in harmonic and real space

C. Doux, C. Chang, B. Jain +67

Recent cosmic shear studies have reported discrepancies of up to on the parameter between the analysis of shear power spectra and two-point…

astro-ph.CO2020★ 76 cited

Dark Energy Survey Year 3 Results: Optimizing the Lens Sample in Combined Galaxy Clustering and Galaxy-Galaxy Lensing Analysis

A. Porredon, M. Crocce, P. Fosalba +77

We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using…

astro-ph.CO2020★ 36 cited

Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

C. Doux, E. Baxter, P. Lemos +85

Beyond-CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming CDM. We present an application of internal…

astro-ph.IM2020★ 82 cited

Dark Energy Survey Year 3 Results: Point-Spread Function Modeling

M. Jarvis, G. M. Bernstein, A. Amon +79

We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years…

astro-ph.CO2020★ 183 cited

Dark Energy Survey Year 3 Results: Weak Lensing Shape Catalogue

M. Gatti, E. Sheldon, A. Amon +100

We present and characterise the galaxy shape catalogue from the first 3 years of Dark Energy Survey (DES) observations, over an effective area of ~4143 deg of the southern sky.…

astro-ph.IM2020★ 16 cited

Reducing ground-based astrometric errors with Gaia and Gaussian processes

W. F. Fortino, G. M. Bernstein, P. H. Bernardinelli +64

Stochastic field distortions caused by atmospheric turbulence are a fundamental limitation to the astrometric accuracy of ground-based imaging. This distortion field is measurable…

astro-ph.CO2020★ 107 cited

Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations

C. To, E. Krause, E. Rozo +105

Combining multiple observational probes is a powerful technique to provide robust and precise constraints on cosmological parameters. In this letter, we present the first joint ana…

astro-ph.CO2020★ 32 cited

DES Y1 results: Splitting growth and geometry to test CDM

J. Muir, E. Baxter, V. Miranda +100

We analyze Dark Energy Survey (DES) data to constrain a cosmological model where a subset of parameters -- focusing on -- are split into versions associated with structure gr…

astro-ph.HE2020★ 60 cited

Candidate Periodically Variable Quasars from the Dark Energy Survey and the Sloan Digital Sky Survey

Yu-Ching Chen, Xin Liu, Wei-Ting Liao +62

Periodically variable quasars have been suggested as close binary supermassive black holes. We present a systematic search for periodic light curves in 625 spectroscopically confir…

astro-ph.EP2020★ 7 cited

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects

B. Henghes, O. Lahav, D. W. Gerdes +56

In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy Survey (DES) data wh…

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.CO2020★ 39 cited

Perturbation theory for modeling galaxy bias: validation with simulations of the Dark Energy Survey

S. Pandey, E. Krause, B. Jain +52

We describe perturbation theory (PT) models of galaxy bias for applications to photometric galaxy surveys. We model the galaxy-galaxy and galaxy-matter correlation functions in con…

astro-ph.CO2020★ 83 cited

The Effect of Environment on Type Ia Supernovae in the Dark Energy Survey Three-Year Cosmological Sample

L. Kelsey, M. Sullivan, M. Smith +73

Analyses of type Ia supernovae (SNe Ia) have found puzzling correlations between their standardised luminosities and host galaxy properties: SNe Ia in high-mass, passive hosts appe…

astro-ph.CO2020★ 10 cited

Weak Lensing of Type Ia Supernovae from the Dark Energy Survey

E. Macaulay, D. Bacon, R. C. Nichol +69

We consider the effects of weak gravitational lensing on observations of 196 spectroscopically confirmed Type Ia Supernovae (SNe Ia) from years 1 to 3 of the Dark Energy Survey (DE…

astro-ph.GA2020★ 46 cited

Dust Reverberation Mapping in Distant Quasars from Optical and Mid-Infrared Imaging Surveys

Qian Yang, Yue Shen, Xin Liu +47

The size of the dust torus in Active Galactic Nuclei (AGN) and their high-luminosity counterparts, quasars, can be inferred from the time delay between UV/optical accretion disk co…

astro-ph.HE2020

A DESGW Search for the Electromagnetic Counterpart to the LIGO/Virgo Gravitational Wave Binary Neutron Star Merger Candidate S190510g

DES Collaboration, A. Garcia, R. Morgan +87

We present the results from a search for the electromagnetic counterpart of the LIGO/Virgo event S190510g using the Dark Energy Camera (DECam). S190510g is a binary neutron star (B…

astro-ph.CO2020★ 13 cited

Masses: Weak Lensing Calibration of the Dark Energy Survey Year 1 redMaPPer Clusters using Stellar Masses

M. E. S. Pereira, A. Palmese, T. N. Varga +78

We present the weak lensing mass calibration of the stellar mass based mass proxy for redMaPPer galaxy clusters in the Dark Energy Survey Year 1. For the first time we…