Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation
E. Krause, X. Fang, S. Pandey, L. F. Secco, O. Alves, H. Huang, J., Blazek, J. Prat, J. Zuntz, T. F. Eifler, N. MacCrann, J. DeRose, M. Crocce,, A. Porredon, B. Jain, M. A. Troxel, S. Dodelson, D. Huterer, A. R. Liddle, C., D. Leonard, A. Amon, A. Chen, J. Elvin-Poole

TL;DR
This paper presents the modeling pipeline and validation process for the DES Year 3 joint galaxy clustering and weak lensing analysis, ensuring robustness and accuracy in cosmological parameter estimation.
Contribution
It introduces a validated modeling pipeline with systematic mitigation strategies and demonstrates agreement between independent implementations for DES Year 3 analysis.
Findings
The modeling pipeline is accurate relative to the analysis power.
Systematics mitigation effectively accounts for astrophysical effects.
Independent pipelines show excellent agreement, confirming robustness.
Abstract
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 "32pt" analysis). These analysis choices include the specific combination of cosmological probes, priors on cosmological and systematics parameters, model parameterizations for systematic effects and related approximations, and angular scales where the model assumptions are validated. We run a large number of simulated likelihood analyses using synthetic data vectors to test the robustness of our baseline analysis. We demonstrate that the DES Year 3 modeling pipeline, including the calibrated scale cuts, is sufficiently accurate relative to the constraining power of the DES Year 3 analyses. Our systematics mitigation strategy accounts for astrophysical systematics, such as galaxy bias, intrinsic alignments,…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · demographic modeling and climate adaptation
