86 citations · 704 across the 19 of their papers we have counts for
78 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…
Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters
Euclid Collaboration, A. Fumagalli, A. Saro +191
Aims. We validate a semi-analytical model for the covariance of real-space 2-point correlation function of galaxy clusters. Methods. Using 1000 PINOCCHIO light cones mimicking the…
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…
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…