activity
20122025
most citedThe Dark Energy Survey Data Release 1

497 citations · 823 across the 19 of their papers we have counts for

collaborators

19 papers

astro-ph.CO2025★ 48 cited

The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration

B. Popovic, P. Shah, W. D. Kenworthy +80

We present improved cosmological constraints from a re-analysis of the Dark Energy Survey (DES) 5-year sample of Type Ia supernovae (DES-SN5YR). This re-analysis includes an improv…

astro-ph.GA2025★ 3 cited

Ultra-Faint Milky Way Satellites Discovered in Carina, Phoenix, and Telescopium with DELVE Data Release 3

C. Y. Tan, W. Cerny, A. B. Pace +76

We report the discovery of three Milky Way satellite candidates: Carina IV, Phoenix III, and DELVE 7, in the third data release of the DECam Local Volume Exploration survey (DELVE)…

astro-ph.GA2025★ 2 cited

DELVE Milky Way Satellite Galaxy Census I: Satellite Population and Survey Selection Function in DES, DELVE, and Pan-STARRS

C. Y. Tan, A. Drlica-Wagner, A. B. Pace +84

The properties of Milky Way satellite galaxies have important implications for galaxy formation, reionization, and the fundamental physics of dark matter. However, the population o…

astro-ph.CO2025★ 2 cited

Selection Function of Clusters in Dark Energy Survey Year 3 Data from Cross-Matching with South Pole Telescope Detections

S. Grandis, M. Costanzi, J. J. Mohr +52

Galaxy clusters selected based on overdensities of galaxies in photometric surveys provide the largest cluster samples. Yet modeling the selection function of such samples is compl…

astro-ph.CO2022★ 17 cited

Mapping gas around massive galaxies: cross-correlation of DES Y3 galaxies and Compton--maps from SPT and Planck

J. Sánchez, Y. Omori, C. Chang +124

We cross-correlate positions of galaxies measured in data from the first three years of the Dark Energy Survey with Compton--maps generated using data from the South Pole Telesc…

astro-ph.GA2022★ 19 cited

Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88

We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…