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
We constrain cosmological parameters 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 content of the universe to be $Ømega_m =
0.325^+0.033_-0.034$. We also implement a non-linear galaxy bias model to
probe smaller scales that includes parameterizations based on hybrid
perturbation theory, and find that it leads to a 17% gain in cosmological
constraining power. Using the redMaGiC galaxy sample as foreground lens
galaxies, we find the galaxy clustering and galaxy-galaxy lensing measurements
to exhibit significant signals akin to decorrelation between galaxies and mass
on large scales, which is not expected in any current models. This likely
systematic measurement error biases our constraints on galaxy bias and the
$S_8$ parameter. We find that a scale-, redshift- and sky-area-independent
phenomenological decorrelation parameter can effectively capture this
inconsistency between the galaxy clustering and galaxy-galaxy lensing. We
perform robustness tests of our methodology pipeline and demonstrate stability
of the constraints to changes in the theory model. After accounting for this
decorrelation, we infer the constraints on the mean host halo mass of the
redMaGiC galaxies from the large-scale bias constraints, finding the galaxies
occupy halos of mass approximately $1.5 10^13 M_ødot/h$.
Description
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
%0 Generic
%1 pandey2021energy
%A Pandey, S.
%A Krause, E.
%A DeRose, J.
%A MacCrann, N.
%A Jain, B.
%A Crocce, M.
%A Blazek, J.
%A Choi, A.
%A Huang, H.
%A To, C.
%A Fang, X.
%A Elvin-Poole, J.
%A Prat, J.
%A Porredon, A.
%A Secco, L. F.
%A Rodriguez-Monroy, M.
%A Weaverdyck, N.
%A Park, Y.
%A Raveri, M.
%A Rozo, E.
%A Rykoff, E. S.
%A Bernstein, G. M.
%A Sánchez, C.
%A Jarvis, M.
%A Troxel, M. A.
%A Zacharegkas, G.
%A Chang, C.
%A Alarcon, A.
%A Alves, O.
%A Amon, A.
%A Andrade-Oliveira, F.
%A Baxter, E.
%A Bechtol, K.
%A Becker, M. R.
%A Camacho, H.
%A Campos, A.
%A Rosell, A. Carnero
%A Kind, M. Carrasco
%A Cawthon, R.
%A Chen, R.
%A Chintalapati, P.
%A Davis, C.
%A Di Valentino, E.
%A Diehl, H. T.
%A Dodelson, S.
%A Doux, C.
%A Drlica-Wagner, A.
%A Eckert, K.
%A Eifler, T. F.
%A Elsner, F.
%A Everett, S.
%A Farahi, A.
%A Ferté, A.
%A Fosalba, P.
%A Friedrich, O.
%A Gatti, M.
%A Giannini, G.
%A Gruen, D.
%A Gruendl, R. A.
%A Harrison, I.
%A Hartley, W. G.
%A Huff, E. M.
%A Huterer, D.
%A Leget, P. F.
%A McCullough, J.
%A Muir, J.
%A Myles, J.
%A Navarro-Alsina, A.
%A Omori, Y.
%A Rollins, R. P.
%A Roodman, A.
%A Rosenfeld, R.
%A Sevilla-Noarbe, I.
%A Sheldon, E.
%A Shin, T.
%A Troja, A.
%A Tutusaus, I.
%A Varga, T. N.
%A Wechsler, R. H.
%A Yanny, B.
%A Yin, B.
%A Zhang, Y.
%A Zuntz, J.
%A Abbott, T. M. C.
%A Aguena, M.
%A Allam, S.
%A Annis, J.
%A Bacon, D.
%A Bertin, E.
%A Brooks, D.
%A Burke, D. L.
%A Carretero, J.
%A Conselice, C.
%A Costanzi, M.
%A da Costa, L. N.
%A Pereira, M. E. S.
%A De Vicente, J.
%A Dietrich, J. P.
%A Doel, P.
%A Evrard, A. E.
%A Ferrero, I.
%A Flaugher, B.
%A Frieman, J.
%A García-Bellido, J.
%A Gaztanaga, E.
%A Gerdes, D. W.
%A Giannantonio, T.
%A Gschwend, J.
%A Gutierrez, G.
%A Hinton, S. R.
%A Hollowood, D. L.
%A Honscheid, K.
%A James, D. J.
%A Jeltema, T.
%A Kuehn, K.
%A Kuropatkin, N.
%A Lahav, O.
%A Lima, M.
%A Lin, H.
%A Maia, M. A. G.
%A Marshall, J. L.
%A Melchior, P.
%A Menanteau, F.
%A Miller, C. J.
%A Miquel, R.
%A Mohr, J. J.
%A Morgan, R.
%A Palmese, A.
%A Paz-Chinchón, F.
%A Petravick, D.
%A Pieres, A.
%A Malagón, A. A. Plazas
%A Sanchez, E.
%A Scarpine, V.
%A Serrano, S.
%A Smith, M.
%A Soares-Santos, M.
%A Suchyta, E.
%A Tarle, G.
%A Thomas, D.
%A Weller, J.
%D 2021
%K library
%T 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
%U http://arxiv.org/abs/2105.13545
%X We constrain cosmological parameters 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 content of the universe to be $Ømega_m =
0.325^+0.033_-0.034$. We also implement a non-linear galaxy bias model to
probe smaller scales that includes parameterizations based on hybrid
perturbation theory, and find that it leads to a 17% gain in cosmological
constraining power. Using the redMaGiC galaxy sample as foreground lens
galaxies, we find the galaxy clustering and galaxy-galaxy lensing measurements
to exhibit significant signals akin to decorrelation between galaxies and mass
on large scales, which is not expected in any current models. This likely
systematic measurement error biases our constraints on galaxy bias and the
$S_8$ parameter. We find that a scale-, redshift- and sky-area-independent
phenomenological decorrelation parameter can effectively capture this
inconsistency between the galaxy clustering and galaxy-galaxy lensing. We
perform robustness tests of our methodology pipeline and demonstrate stability
of the constraints to changes in the theory model. After accounting for this
decorrelation, we infer the constraints on the mean host halo mass of the
redMaGiC galaxies from the large-scale bias constraints, finding the galaxies
occupy halos of mass approximately $1.5 10^13 M_ødot/h$.
@misc{pandey2021energy,
abstract = {We constrain cosmological parameters 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 content of the universe to be $\Omega_{\rm m} =
0.325^{+0.033}_{-0.034}$. We also implement a non-linear galaxy bias model to
probe smaller scales that includes parameterizations based on hybrid
perturbation theory, and find that it leads to a 17% gain in cosmological
constraining power. Using the redMaGiC galaxy sample as foreground lens
galaxies, we find the galaxy clustering and galaxy-galaxy lensing measurements
to exhibit significant signals akin to decorrelation between galaxies and mass
on large scales, which is not expected in any current models. This likely
systematic measurement error biases our constraints on galaxy bias and the
$S_8$ parameter. We find that a scale-, redshift- and sky-area-independent
phenomenological decorrelation parameter can effectively capture this
inconsistency between the galaxy clustering and galaxy-galaxy lensing. We
perform robustness tests of our methodology pipeline and demonstrate stability
of the constraints to changes in the theory model. After accounting for this
decorrelation, we infer the constraints on the mean host halo mass of the
redMaGiC galaxies from the large-scale bias constraints, finding the galaxies
occupy halos of mass approximately $1.5 \times 10^{13} M_{\odot}/h$.},
added-at = {2021-05-31T08:28:41.000+0200},
author = {Pandey, S. and Krause, E. and DeRose, J. and MacCrann, N. and Jain, B. and Crocce, M. and Blazek, J. and Choi, A. and Huang, H. and To, C. and Fang, X. and Elvin-Poole, J. and Prat, J. and Porredon, A. and Secco, L. F. and Rodriguez-Monroy, M. and Weaverdyck, N. and Park, Y. and Raveri, M. and Rozo, E. and Rykoff, E. S. and Bernstein, G. M. and Sánchez, C. and Jarvis, M. and Troxel, M. A. and Zacharegkas, G. and Chang, C. and Alarcon, A. and Alves, O. and Amon, A. and Andrade-Oliveira, F. and Baxter, E. and Bechtol, K. and Becker, M. R. and Camacho, H. and Campos, A. and Rosell, A. Carnero and Kind, M. Carrasco and Cawthon, R. and Chen, R. and Chintalapati, P. and Davis, C. and Di Valentino, E. and Diehl, H. T. and Dodelson, S. and Doux, C. and Drlica-Wagner, A. and Eckert, K. and Eifler, T. F. and Elsner, F. and Everett, S. and Farahi, A. and Ferté, A. and Fosalba, P. and Friedrich, O. and Gatti, M. and Giannini, G. and Gruen, D. and Gruendl, R. A. and Harrison, I. and Hartley, W. G. and Huff, E. M. and Huterer, D. and Leget, P. F. and McCullough, J. and Muir, J. and Myles, J. and Navarro-Alsina, A. and Omori, Y. and Rollins, R. P. and Roodman, A. and Rosenfeld, R. and Sevilla-Noarbe, I. and Sheldon, E. and Shin, T. and Troja, A. and Tutusaus, I. and Varga, T. N. and Wechsler, R. H. and Yanny, B. and Yin, B. and Zhang, Y. and Zuntz, J. and Abbott, T. M. C. and Aguena, M. and Allam, S. and Annis, J. and Bacon, D. and Bertin, E. and Brooks, D. and Burke, D. L. and Carretero, J. and Conselice, C. and Costanzi, M. and da Costa, L. N. and Pereira, M. E. S. and De Vicente, J. and Dietrich, J. P. and Doel, P. and Evrard, A. E. and Ferrero, I. and Flaugher, B. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Giannantonio, T. and Gschwend, J. and Gutierrez, G. and Hinton, S. R. and Hollowood, D. L. and Honscheid, K. and James, D. J. and Jeltema, T. and Kuehn, K. and Kuropatkin, N. and Lahav, O. and Lima, M. and Lin, H. and Maia, M. A. G. and Marshall, J. L. and Melchior, P. and Menanteau, F. and Miller, C. J. and Miquel, R. and Mohr, J. J. and Morgan, R. and Palmese, A. and Paz-Chinchón, F. and Petravick, D. and Pieres, A. and Malagón, A. A. Plazas and Sanchez, E. and Scarpine, V. and Serrano, S. and Smith, M. and Soares-Santos, M. and Suchyta, E. and Tarle, G. and Thomas, D. and Weller, J.},
biburl = {https://www.bibsonomy.org/bibtex/25d636d432e9da3ec624e52c19613d96b/gpkulkarni},
description = {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},
interhash = {cd3858268caf9ed549bbf75d5271c6cb},
intrahash = {5d636d432e9da3ec624e52c19613d96b},
keywords = {library},
note = {cite arxiv:2105.13545Comment: 27 pages, 19 figures, comments welcome},
timestamp = {2021-05-31T08:28:41.000+0200},
title = {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},
url = {http://arxiv.org/abs/2105.13545},
year = 2021
}