1.2k citations · 29.3k across the 390 of their papers we have counts for
55 papers · 1 filter
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…
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…
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…
Assessing tension metrics with Dark Energy Survey and Planck data
P. Lemos, M. Raveri, A. Campos +103
Quantifying tensions -- inconsistencies amongst measurements of cosmological parameters by different experiments -- has emerged as a crucial part of modern cosmological data analys…
DES Y3 results: Blending shear and redshift biases in image simulations
N. MacCrann, M. R. Becker, J. McCullough +93
As the statistical power of galaxy weak lensing reaches percent level precision, large, realistic and robust simulations are required to calibrate observational systematics, especi…
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…
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…
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…
AGNet: Weighing Black Holes with Machine Learning
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap +2
Supermassive black holes (SMBHs) are ubiquitously found at the centers of most galaxies. Measuring SMBH mass is important for understanding the origin and evolution of SMBHs. Howev…
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…
Survey2Survey: A deep learning generative model approach for cross-survey image mapping
Brandon Buncher, Awshesh Nath Sharma, Matias Carrasco Kind
During the last decade, there has been an explosive growth in survey data and deep learning techniques, both of which have enabled great advances for astronomy. The amount of data…
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…
Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data
Angela Chen, Dragan Huterer, Sujeong Lee +81
We study a phenomenological class of models where dark matter converts to dark radiation in the low redshift epoch. This class of models, dubbed DMDR, characterizes the evolution o…
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…
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…
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…
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.…
Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data
M. Costanzi, A. Saro, S. Bocquet +87
We perform a joint analysis of the counts of redMaPPer clusters selected from the Dark Energy Survey (DES) Y1 data and multi-wavelength follow-up data collected within the 2500 deg…
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…
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…
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…
The Atacama Cosmology Telescope: A Catalog of > 4000 Sunyaev-Zel'dovich Galaxy Clusters
M. Hilton, C. Sifón, S. Naess +146
We present a catalog of 4195 optically confirmed Sunyaev-Zel'dovich (SZ) selected galaxy clusters detected with signal-to-noise > 4 in 13,211 deg of sky surveyed by the Atacama…
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…
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…