Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data

A. I. Salvador; F. J. Sanchez; A. Pagul; J. Garcia-Bellido; E. Sanchez; A. Pujol; J. Frieman; E. Gaztanaga; A. J. Ross; I. Sevilla-Noarbe; T. M. C. Abbott; S. Allam; J. Annis; S. Avila; E. Bertin; D. Brooks; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; C. E. Cunha; J. De Vicente; H. T. Diehl; P. Doel; A. E. Evrard; P. Fosalba; D. Gruen; R. A. Gruendl; J. Gschwend; G. Gutierrez; W. G. Hartley; D. L. Hollowood; D. J. James; K. Kuehn; N. Kuropatkin; O. Lahav; M. Lima; M. March; J. L. Marshall; F. Menanteau; R. Miquel; A. K. Romer; A. Roodman; V. Scarpine; R. Schindler; M. Smith; M. Soares-Santos; F. Sobreira; E. Suchyta; M. E. C. Swanson; G. Tarle; D. Thomas; V. Vikram; A. R. Walker; DES Collaboration

doi:10.1093/mnras/sty2802

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Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data

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Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data

A. I. Salvador, F. J. Sanchez, A. Pagul, J. Garcia-Bellido, E. Sanchez, A. Pujol, J. Frieman, E. Gaztanaga, A. J. Ross, I. Sevilla-Noarbe, …

Monthly notices of the Royal Astronomical Society, Vol.482(2), pp.1435-1451

01/11/2019

DOI: https://doi.org/10.1093/mnras/sty2802

Abstract

Astronomy & Astrophysics

Science & Technology

Physical Sciences

Non-linear bias measurements require a great level of control of potential systematic effects in galaxy redshift surveys. Our goal is to demonstrate the viability of using counts-in-cells (CiC), a statistical measure of the galaxy distribution, as a competitive method to determine linear and higher-order galaxy bias and assess clustering systematics. We measure the galaxy bias by comparing the first four moments of the galaxy density distribution with those of the dark matter distribution. We use data from the MICE simulation to evaluate the performance of this method, and subsequently perform measurements on the public Science Verification data from the Dark Energy Survey. We find that the linear bias obtained with CiC is consistent with measurements of the bias performed using galaxy-galaxy clustering, galaxy-galaxy lensing, cosmic microwave background lensing, and shear + clustering measurements. Furthermore, we compute the projected (2D) non-linear bias using the expansion delta(g) = Sigma(3)(k=0)(b(k)/k!)delta(k), finding a non-zero value for b(2) at the 3 sigma level. We also check a non-local bias model and show that the linear bias measurements are robust to the addition of new parameters. We compare our 2D results to the 3D prediction and find compatibility in the large-scale regime (>30 h(-1) Mpc).

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Title: Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data
Creators: A. I. Salvador - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
F. J. Sanchez - Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92602 USA
A. Pagul - Univ Calif Riverside, Dept Phys & Astron, Riverside, CA 92521 USA
J. Garcia-Bellido - Universidad Autónoma de Madrid
E. Sanchez - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
A. Pujol - Univ Paris Saclay, CEA, IRFU, DEDIP DAP, F-91191 Gif Sur Yvette, France
J. Frieman - Fermi National Accelerator Laboratory
E. Gaztanaga - S&N
A. J. Ross - The Ohio State University
I. Sevilla-Noarbe - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
T. M. C. Abbott - Cerro Tololo Inter-American Observatory
S. Allam - Fermi National Accelerator Laboratory
J. Annis - Fermi National Accelerator Laboratory
S. Avila - University of Portsmouth
E. Bertin - Centre National de la Recherche Scientifique
D. Brooks - University College London
D. L. Burke - SLAC National Accelerator Laboratory
A. Carnero Rosell - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
M. Carrasco Kind - University of Illinois Urbana-Champaign
J. Carretero - Institute for High Energy Physics
F. J. Castander - Institut d'Estudis Espacials de Catalunya
C. E. Cunha - Stanford University
J. De Vicente - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
H. T. Diehl - Fermi National Accelerator Laboratory
P. Doel - University College London
A. E. Evrard - University of Michigan
P. Fosalba - S&N
D. Gruen - Kavli Institute for Particle Astrophysics and Cosmology
R. A. Gruendl - National Center for Supercomputing Applications
J. Gschwend - Laboratório Interinstitucional de e-Astronomia
G. Gutierrez - Fermi National Accelerator Laboratory
W. G. Hartley - University College London
D. L. Hollowood - University of California, Santa Cruz
D. J. James - Center for Astrophysics Harvard & Smithsonian
K. Kuehn - Lowell Observatory
N. Kuropatkin - Fermi National Accelerator Laboratory
O. Lahav - University College London
M. Lima - Laboratório Interinstitucional de e-Astronomia
M. March - University of Pennsylvania
J. L. Marshall - Mitchell Institute
F. Menanteau - National Center for Supercomputing Applications
R. Miquel - Institució Catalana de Recerca i Estudis Avançats
A. K. Romer - University of Sussex
A. Roodman - Kavli Institute for Particle Astrophysics and Cosmology
V. Scarpine - Fermi National Accelerator Laboratory
R. Schindler - SLAC National Accelerator Laboratory
M. Smith - University of Southampton
M. Soares-Santos - Brandeis University, Martin A. Fisher School of Physics
F. Sobreira - Universidade Estadual de Campinas (UNICAMP)
E. Suchyta - Oak Ridge National Laboratory
M. E. C. Swanson - National Center for Supercomputing Applications
G. Tarle - Institute for High Energy Physics
D. Thomas - University of Portsmouth
V. Vikram - Argonne National Laboratory
A. R. Walker - Cerro Tololo Inter-American Observatory
DES Collaboration
Publication Details: Monthly notices of the Royal Astronomical Society, Vol.482(2), pp.1435-1451
Publisher: Oxford Univ Press
Number of pages: 17
Grant note: University of Edinburgh University of Chicago U.S. Department of Energy; United States Department of Energy (DOE) Kavli Institute of Cosmological Physics at the University of Chicago Lawrence Berkeley National Laboratory; United States Department of Energy (DOE) Ministerio da Ciencia, Tecnologia e Inovacao; Spanish Government Ministry of Science and Education of Spain; Spanish Government Institut de Ciencies de l'Espai (IEEC/CSIC) Ohio State University University of Pennsylvania
Identifiers: 9924552835901921
Academic Unit: Martin A. Fisher School of Physics
Language: English
Resource Type: Journal article

Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data

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