activity
20172021
most citedOzDES multi-object fibre spectroscopy for the Dark Energy Survey: Results and second data release

86 citations · 601 across the 14 of their papers we have counts for

collaborators

90 papers

astro-ph.CO202146 cited

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…

astro-ph.CO2021

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…

astro-ph.IM2021

The Dark Energy Survey Data Release 2

DES Collaboration, T. M. C. Abbott, M. Adamow +132

We present the second public data release of the Dark Energy Survey, DES DR2, based on optical/near-infrared imaging by the Dark Energy Camera mounted on the 4-m Blanco telescope a…

astro-ph.CO2020

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…

astro-ph.CO2020

Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit

O. Friedrich, F. Andrade-Oliveira, H. Camacho +109

We describe and test the fiducial covariance matrix model for the combined 2-point function analysis of the Dark Energy Survey Year 3 (DES-Y3) dataset. Using a variety of new ansat…

astro-ph.GA202044 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…