activity
20152024
most citedThe Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. I. Dark Energy Camera Discovery of the Optical Counterpart

584 citations · 2.5k across the 47 of their papers we have counts for

collaborators

184 papers

astro-ph.CO2022

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…

astro-ph.CO2022

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…

astro-ph.EP2022

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…

astro-ph.CO2022

New catalogue of dark-matter halo properties identified in MICE-GC -- I. Analysis of density profile distributions

Elizabeth J. Gonzalez, Kai Hoffmann, Diego R. García Lambas +10

Constraints on dark matter halo masses from weak gravitational lensing can be improved significantly by using additional information about the morphology of their density distribut…

astro-ph.GA202213 cited

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…

astro-ph.GA202160 cited

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…