Dark Energy Survey Year 3 Results: Constraints on cosmological parameters and galaxy bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample
S. Pandey, E. Krause, J. DeRose, N. MacCrann, B. Jain, M. Crocce, J., Blazek, A. Choi, H. Huang, C. To, X. Fang, J. Elvin-Poole, J. Prat, A., Porredon, L. F. Secco, M. Rodriguez-Monroy, N. Weaverdyck, Y. Park, M., Raveri, E. Rozo, E. S. Rykoff, G. M. Bernstein, C. S\'anchez

TL;DR
This paper uses Dark Energy Survey Year-3 data to constrain cosmological parameters and galaxy bias models through galaxy clustering and lensing, addressing systematic errors and improving constraints with advanced bias modeling.
Contribution
It introduces a robust modeling framework for small-scale clustering, implements a non-linear galaxy bias model, and identifies and corrects a systematic de-correlation issue in the data.
Findings
Constraints on matter density: Ω_m ≈ 0.325
17% gain in constraining power with non-linear bias model
Systematic de-correlation identified and mitigated
Abstract
We constrain cosmological and galaxy-bias parameters using the combination of galaxy clustering and galaxy-galaxy lensing measurements from the Dark Energy Survey Year-3 data. We describe our modeling framework, and choice of scales analyzed, validating their robustness to theoretical uncertainties in small-scale clustering by analyzing simulated data. Using a linear galaxy bias model and redMaGiC galaxy sample, we obtain constraints on the matter density to be . We also implement a non-linear galaxy bias model to probe smaller scales that includes parameterization based on hybrid perturbation theory and find that it leads to a 17% gain in cosmological constraining power. We perform robustness tests of our methodology pipeline and demonstrate the stability of the constraints to changes in the theoretical model. Using the redMaGiC galaxy sample…
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