630 citations · 2.8k across the 23 of their papers we have counts for
7 papers · 1 filter
Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit
O. Friedrich, F. Andrade-Oliveira, H. Camacho +109
We describe and test the fiducial covariance matrix model for the combined 2-point function analysis of the Dark Energy Survey Year 3 (DES-Y3) dataset. Using a variety of new ansat…
Dark Energy Survey Year 3 Results: Redshift Calibration of the Weak Lensing Source Galaxies
J. Myles, A. Alarcon, A. Amon +105
Determining the distribution of redshifts of galaxies observed by wide-field photometric experiments like the Dark Energy Survey is an essential component to mapping the matter den…
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
S. Mucesh, W. G. Hartley, A. Palmese +72
We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations
C. To, E. Krause, E. Rozo +105
Combining multiple observational probes is a powerful technique to provide robust and precise constraints on cosmological parameters. In this letter, we present the first joint ana…
Noise from Undetected Sources in Dark Energy Survey Images
K. Eckert, G. M. Bernstein, A. Amara +66
For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estima…
Validation of Selection Function, Sample Contamination and Mass Calibration in Galaxy Cluster Samples
S. Grandis, M. Klein, J. J. Mohr +70
We construct and validate the selection function of the MARD-Y3 sample. This sample was selected through optical follow-up of the 2nd ROSAT faint source catalog (2RXS) with Dark En…