Dark Energy Survey Year 3 Results: Exploiting small-scale information with lensing shear ratios
C. S\'anchez, J. Prat, G. Zacharegkas, S. Pandey, E. Baxter, G. M., Bernstein, J. Blazek, R. Cawthon, C. Chang, E. Krause, P. Lemos, Y. Park, M., Raveri, J. Sanchez, M. A. Troxel, A. Amon, X. Fang, O. Friedrich, D. Gruen,, A. Porredon, L. F. Secco, S. Samuroff, A. Alarcon

TL;DR
This paper demonstrates how small-scale galaxy-galaxy lensing shear ratios from DES Y3 data improve constraints on source redshift uncertainties and intrinsic alignments, leading to tighter cosmological parameter estimates.
Contribution
It introduces a full modeling approach for shear ratios that accounts for complex effects, validated with simulations and independent samples, enhancing cosmological constraints.
Findings
Shear ratios improve source redshift calibration constraints by up to 38%.
Shear ratios tighten intrinsic alignment constraints significantly.
Inclusion of shear ratios enhances $S_8$ constraints by up to 31% in DES Y3 data.
Abstract
Using the first three years of data from the Dark Energy Survey, we use ratios of small-scale galaxy-galaxy lensing measurements around the same lens sample to constrain source redshift uncertainties, intrinsic alignments and other nuisance parameters of our model. Instead of using a simple geometric approach for the ratios, we use the full modeling of the galaxy-galaxy lensing measurements, including the corresponding integration over the power spectrum and the contributions from intrinsic alignments and lens magnification. We perform extensive testing of the small-scale shear ratio (SR) modeling by studying the impact of different effects such as the inclusion of baryonic physics, non-linear biasing, halo occupation distribution descriptions and lens magnification, among others, and using realistic -body simulations. We validate the robustness of our constraints in the data by…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
