1.4k citations · 24.5k across the 223 of their papers we have counts for
226 papers
Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program
R. Chen, D. Scolnic, M. Vincenzi +73
Cosmological analyses with Type Ia Supernovae (SNe Ia) have traditionally been reliant on spectroscopy for both classifying the type of supernova and obtaining reliable redshifts t…
The Dark Energy Survey Supernova Program: An updated measurement of the Hubble constant using the Inverse Distance Ladder
R. Camilleri, T. M. Davis, S. R. Hinton +77
We measure the current expansion rate of the Universe, Hubble's constant , by calibrating the absolute magnitudes of supernovae to distances measured by Baryon Acoustic Oscill…
The Dark Energy Survey Supernova Program: Slow supernovae show cosmological time dilation out to
R. M. T. White, T. M. Davis, G. F. Lewis +67
We present a precise measurement of cosmological time dilation using the light curves of 1504 type Ia supernovae from the Dark Energy Survey spanning a redshift range $0.1\lesssim…
The Dark Energy Survey Supernova Program: Investigating Beyond-CDM
R. Camilleri, T. M. Davis, M. Vincenzi +77
We report constraints on a variety of non-standard cosmological models using the full 5-year photometrically-classified type Ia supernova sample from the Dark Energy Survey (DES-SN…
Astrometric Redshifts of Supernovae
Jaemyoung Jason Lee, Masao Sako, Richard Kessler +2
Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere's refractive index, which shifts the apparent positions of stars and galaxies and d…
Dark Energy Survey Year 3 results: likelihood-free, simulation-based CDM inference with neural compression of weak-lensing map statistics
N. Jeffrey, L. Whiteway, M. Gatti +88
We present simulation-based cosmological CDM inference using Dark Energy Survey Year 3 weak-lensing maps, via neural data compression of weak-lensing map summary statistics: pow…