Dark Energy Survey Year 3 Results: Exploiting small-scale information with lensing shear ratios
Creators: name: Sánchez, C.
name: Prat, J.
name: Zacharegkas, G.
name: Pandey, S.
name: Baxter, E.
name: Bernstein, G. M.
name: Blazek, J.
name: Cawthon, R.
name: Chang, C.
name: Krause, E.
name: Lemos, P.
name: Park, Y.
name: Raveri, M.
name: Sanchez, J.
name: Troxel, M. A.
name: Amon, A.
name: Fang, X.
name: Friedrich, O.
name: Gruen, D.
name: Porredon, A.
name: Secco, L. F.
name: Samuroff, S.
name: Alarcon, A.
name: Alves, O.
name: Andrade-Oliveira, F.
name: Bechtol, K.
name: Becker, M. R.
name: Camacho, H.
name: Campos, A.
name: Rosell, A. Carnero
name: Kind, M. Carrasco
name: Chen, R.
name: Choi, A.
name: Crocce, M.
name: Davis, C.
name: De Vicente, J.
name: DeRose, J.
name: Di Valentino, E.
name: Diehl, H. T.
name: Dodelson, S.
name: Doux, C.
name: Drlica-Wagner, A.
name: Eckert, K.
name: Eifler, T. F.
name: Elsner, F.
name: Elvin-Poole, J.
name: Everett, S.
name: Ferté, A.
name: Fosalba, P.
name: Gatti, M.
name: Giannini, G.
name: Gruendl, R. A.
name: Harrison, I.
name: Hartley, W. G.
name: Herner, K.
name: Huff, E. M.
name: Huterer, D.
name: Jarvis, M.
name: Jain, B.
name: Kuropatkin, N.
name: Leget, P. -F.
name: MacCrann, N.
name: McCullough, J.
name: Muir, J.
name: Myles, J.
name: Navarro-Alsina, A.
name: Rollins, R. P.
name: Roodman, A.
name: Rosenfeld, R.
name: Rykoff, E. S.
name: Sevilla-Noarbe, I.
name: Sheldon, E.
name: Shin, T.
name: Troja, A.
name: Tutusaus, I.
name: Varga, T. N.
name: Wechsler, R. H.
name: Yanny, B.
name: Yin, B.
name: Zhang, Y.
name: Zuntz, J.
name: Abbott, T. M. C.
name: Aguena, M.
name: Allam, S.
name: Bacon, D.
name: Bertin, E.
name: Bhargava, S.
name: Brooks, D.
name: Buckley-Geer, E.
name: Burke, D. L.
name: Carretero, J.
name: Costanzi, M.
name: da Costa, L. N.
name: Pereira, M. E. S.
name: Desai, S.
name: Dietrich, J. P.
name: Doel, P.
name: Evrard, A. E.
name: Ferrero, I.
name: Flaugher, B.
name: Frieman, J.
name: García-Bellido, J.
name: Gaztanaga, E.
name: Gerdes, D. W.
name: Giannantonio, T.
name: Gschwend, J.
name: Gutierrez, G.
name: Hinton, S. R.
name: Hollowood, D. L.
name: Honscheid, K.
name: Hoyle, B.
name: James, D. J.
name: Kuehn, K.
name: Lahav, O.
name: Lima, M.
name: Lin, H.
name: Maia, M. A. G.
name: Marshall, J. L.
name: Martini, P.
name: Melchior, P.
name: Menanteau, F.
name: Miquel, R.
name: Mohr, J. J.
name: Morgan, R.
name: Palmese, A.
name: Paz-Chinchón, F.
name: Petravick, D.
name: Pieres, A.
name: Malagón, A. A. Plazas
name: Rodriguez-Monroy, M.
name: Sanchez, E.
name: Scarpine, V.
name: Schubnell, M.
name: Serrano, S.
name: Smith, M.
name: Soares-Santos, M.
name: Suchyta, E.
name: Swanson, M. E. C.
name: Tarle, G.
name: Thomas, D.
name: To, C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences
subject: FOS: Physical sciences

description: 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 $N$-body simulations. We validate the robustness of our constraints in the data by using two independent lens samples, and by deriving constraints using the corresponding large-scale ratios for which the modeling is simpler. The DES Y3 results demonstrate how the ratios provide significant improvements in constraining power for several nuisance parameters in our model, especially on source redshift calibration and intrinsic alignments (IA). For source redshifts, SR improves the constraints from the prior by up to 38\% in some redshift bins. Such improvements, and especially the constraints it provides on IA, translate to tighter cosmological constraints when SR is combined with cosmic shear and other 2pt functions. In particular, for the DES Y3 data, SR improves $S_8$ constraints from cosmic shear by up to 31\%, and for the full combination of probes (3$\times$2pt) by up to 10\%. The shear ratios presented in this work are used as an additional likelihood for cosmic shear, 2$\times$2pt and the full 3$\times$2pt in the fiducial DES Y3 cosmological analysis.
description: 29 pages, 17 figures, accepted by PRD. This version matches the published version