3.5k citations · 19.7k across the 125 of their papers we have counts for
128 papers
Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology
K. Bechtol, I. Sevilla-Noarbe, A. Drlica-Wagner +103
We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a…
Binning is Sinning: Redemption for Hubble Diagram using Photometrically Classified Type Ia Supernovae
Richard Kessler, Maria Vincenzi, Patrick Armstrong
Bayesian Estimation Applied to Multiple Species (BEAMS) is implemented in the BEAMS with Bias Corrections (BBC) framework to produce a redshift-binned Hubble diagram (HD) for Type…
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae
H. Qu, M. Sako, M. Vincenzi +58
Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies us…
The Dark Energy Survey Supernova Program: Corrections on photometry due to wavelength-dependent atmospheric effects
J. Lee, M. Acevedo, M. Sako +64
Wavelength-dependent atmospheric effects impact photometric supernova flux measurements for ground-based observations. We present corrections on supernova flux measurements from th…
SALT2 Versus SALT3: Updated Model Surfaces and Their Impacts on Type Ia Supernova Cosmology
G. Taylor, D. O. Jones, B. Popovic +6
For the past decade, SALT2 has been the most common model used to fit Type Ia supernova (SN Ia) light curves for dark energy analyses. Recently, the SALT3 model was released, which…
Propagating Uncertainties in the SALT3 Model Training Process to Cosmological Constraints
M. Dai, D. O. Jones, W. D. Kenworthy +5
Type Ia supernovae (SNe Ia) are standardizable candles that must be modeled empirically to yield cosmological constraints. To understand the robustness of this modeling to variatio…