584 citations · 4.6k across the 64 of their papers we have counts for
64 papers
Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies
R. Chen, D. Scolnic, E. Rozo +82
Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classify…
Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey
P. Lemos, N. Weaverdyck, R. P. Rollins +68
Recent cosmological analyses rely on the ability to accurately sample from high-dimensional posterior distributions. A variety of algorithms have been applied in the field, but jus…
The Evolution of AGN Activity in Brightest Cluster Galaxies
T. Somboonpanyakul, M. McDonald, A. Noble +73
We present the results of an analysis of Wide-field Infrared Survey Explorer (WISE) observations on the full 2500 deg^2 South Pole Telescope (SPT)-SZ cluster sample. We describe a…
Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies
S. Mau, E. O. Nadler, R. H. Wechsler +66
We use a recent census of the Milky Way (MW) satellite galaxy population to constrain the lifetime of particle dark matter (DM). We consider two-body decaying dark matter (DDM) in…
The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae
A. Möller, M. Smith, M. Sako +80
As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curve…
Optical Variability of Quasars with 20-Year Photometric Light Curves
Zachary Stone, Yue Shen, Colin J. Burke +52
We study the optical photometric variability of a sample of 190 quasars within the SDSS Stripe 82 region that have long-term photometric coverage during with…
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification
Robert Morgan, B. Nord, K. Bechtol +48
Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectro…
The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification
M. Vincenzi, M. Sullivan, A. Möller +81
Cosmological analyses of samples of photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects of 'contamination' from core-collapse and peculiar SN…
Cosmic Shear in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Configuration Space Results
H. Camacho, F. Andrade-Oliveira, A. Troja +96
We perform a cosmic shear analysis in harmonic space using the first year of data collected by the Dark Energy Survey (DES-Y1). We measure the cosmic weak lensing shear power spect…
Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps
M. Gatti, B. Jain, C. Chang +107
We present a cosmological analysis using the second and third moments of the weak lensing mass (convergence) maps from the first three years of data (Y3) data of the Dark Energy Su…
From the Fire: A Deeper Look at the Phoenix Stream
K. Tavangar, P. Ferguson, N. Shipp +64
We use six years of data from the Dark Energy Survey to perform a detailed photometric characterization of the Phoenix stellar stream, a 15-degree long, thin, dynamically cold, low…
The DES Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5,000 Sq. Deg. Footprint
J. H. O'Donnell, R. D. Wilkinson, H. T. Diehl +79
We report the combined results of eight searches for strong gravitational lens systems in the full 5,000 sq. deg. of Dark Energy Survey (DES) observations. The observations accumul…
Finding quadruply imaged quasars with machine learning. I. Methods
A. Akhazhanov, A. More, A. Amini +68
Strongly lensed quadruply imaged quasars (quads) are extraordinary objects. They are very rare in the sky -- only a few tens are known to date -- and yet they provide unique inform…
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…
Velocity Dispersions of Clusters in the Dark Energy Survey Y3 redMaPPer Catalog
V. Wetzell, T. E. Jeltema, B. Hegland +96
We measure the velocity dispersions of clusters of galaxies selected by the redMaPPer algorithm in the first three years of data from the Dark Energy Survey (DES), allowing us to p…
Dark Energy Survey Year 3 Results: A 2.7% measurement of Baryon Acoustic Oscillation distance scale at redshift 0.835
DES Collaboration, T. M. C. Abbott, M. Aguena +108
We present angular diameter measurements obtained by measuring the position of Baryon Acoustic Oscillations (BAO) in an optimised sample of galaxies from the first three years of D…
Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis
I. Ferrero, M. Crocce, I. Tutusaus +83
The calibration and validation of scientific analysis in simulations is a fundamental tool to ensure unbiased and robust results in observational cosmology. In particular, mock gal…
Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing
G. Zacharegkas, C. Chang, J. Prat +114
Galaxy-galaxy lensing is a powerful probe of the connection between galaxies and their host dark matter halos, which is important both for galaxy evolution and cosmology. We extend…
Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation
E. Krause, X. Fang, S. Pandey +121
This paper details the modeling pipeline and validates the baseline analysis choices of the DES Year 3 joint analysis of galaxy clustering and weak lensing (a so-called "32…
Dark Energy Survey Year 3 results: cosmology from combined galaxy clustering and lensing -- validation on cosmological simulations
J. DeRose, R. H. Wechsler, M. R. Becker +114
We present a validation of the Dark Energy Survey Year 3 (DES Y3) -point analysis choices by testing them on Buzzard v2.0, a new suite of cosmological simulations that is…
Dark Energy Survey Year 3 Results: Galaxy clustering and systematics treatment for lens galaxy samples
M. Rodríguez-Monroy, N. Weaverdyck, J. Elvin-Poole +102
In this work we present the galaxy clustering measurements of the two DES lens galaxy samples: a magnitude-limited sample optimized for the measurement of cosmological parameters,…
The mass and galaxy distribution around SZ-selected clusters
T. Shin, B. Jain, S. Adhikari +136
We present measurements of the radial profiles of the mass and galaxy number density around Sunyaev-Zel'dovich-selected clusters using both weak lensing and galaxy counts. The clus…
Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample
A. Porredon, M. Crocce, J. Elvin-Poole +141
Two of the most sensitive probes of the large scale structure of the universe are the clustering of galaxies and the tangential shear of background galaxy shapes produced by those…
Dark Energy Survey Year 3 Results: Constraints on cosmological parameters and galaxy bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample
S. Pandey, E. Krause, J. DeRose +138
We constrain cosmological and galaxy-bias parameters using the combination of galaxy clustering and galaxy-galaxy lensing measurements from the Dark Energy Survey Year-3 data. We d…