76 citations · 424 across the 11 of their papers we have counts for
37 papers
The Dark Energy Survey Year 3 high redshift sample: Selection, characterization and analysis of galaxy clustering
C. Sánchez, A. Alarcon, G. M. Bernstein +97
The fiducial cosmological analyses of imaging galaxy surveys like the Dark Energy Survey (DES) typically probe the Universe at redshifts . This is mainly because of the limi…
Photometric Properties of Jupiter Trojans detected by the Dark Energy Survey
DES Collobration, :, Jiaming Pan +55
The Jupiter Trojans are a large group of asteroids that are co-orbiting with Jupiter near its L4 and L5 Lagrange points. The study of Jupiter Trojans is crucial for testing differe…
Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks
Ting-Yun Cheng, H. Domínguez Sánchez, J. Vega-Ferrero +54
We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised…
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…
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…