1k citations · 3.5k across the 42 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
Galaxy Clustering in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Real-Space Results
F. Andrade-Oliveira, H. Camacho, L. Faga +70
We perform an analysis in harmonic space of the Dark Energy Survey Year 1 Data (DES-Y1) galaxy clustering data using products obtained for the real-space analysis. We test our pipe…
Galaxy-galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation
S. Lee, M. A. Troxel, A. Choi +90
The DMASS sample is a photometric sample from the DES Year 1 data set designed to replicate the properties of the CMASS sample from BOSS, in support of a joint analysis of DES and…