activity
20172022
most citedDark Energy Survey Year 1 Results: Multi-Probe Methodology and Simulated Likelihood Analyses

129 citations · 253 across the 4 of their papers we have counts for

collaborators

11 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…

hep-ex20222 cited

Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Eric J. Baxter, Chihway Chang, Andrew Hearin +37

Cosmological data in the next decade will be characterized by high-precision, multi-wavelength measurements of thousands of square degrees of the same patches of sky. By performing…

astro-ph.CO202146 cited

Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation

E. Krause, X. Fang, S. Pandey +121

This paper details the modeling pipeline and validates the baseline analysis choices of the DES Year 3 joint analysis of galaxy clustering and weak lensing (a so-called "32…

astro-ph.CO2021

Galaxy Clustering in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Real-Space Results

F. Andrade-Oliveira, H. Camacho, L. Faga +70

We perform an analysis in harmonic space of the Dark Energy Survey Year 1 Data (DES-Y1) galaxy clustering data using products obtained for the real-space analysis. We test our pipe…

astro-ph.CO2020

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…

astro-ph.CO202076 cited

Dark Energy Survey Year 3 Results: Optimizing the Lens Sample in Combined Galaxy Clustering and Galaxy-Galaxy Lensing Analysis

A. Porredon, M. Crocce, P. Fosalba +77

We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using…