Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data
- Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
- Department of Physics and Astronomy, University of California, Irvine 92602, USA; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
- Department of Physics and Astronomy, University of California, Riverside 92521, USA; Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
- DEDIP/DAP, IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur- Yvette, France; Université Paris Diderot, AIM, Sorbonne Paris Cité, CEA, CNRS, F-91191 Gif-sur-Yvette, France
- Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA; Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
- Institut d’Estudis Espacials de Catalunya (IEEC), E-08193 Barcelona, Spain; Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
- Center for Cosmology and AstroParticle Physics, Department of Physics, the Ohio State University, 191 W Woodruff Ave,Columbus, OH 43210, USA
- Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
- Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
- Institute of Cosmology & Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
- CNRS, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France
- Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK
- Kavli Institute for Particle Astrophysics & Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ-20921-400, Brazil; Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro, RJ-20921-400, Brazil
- Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W. Green Street, Urbana, IL 61801, USA; National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
- Institut de Física d’Altes Energies (IFAE), the Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
- Kavli Institute for Particle Astrophysics & Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
- Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA; Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK; Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 16, CH-8093 Zurich, Switzerland
- Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
- Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
- Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
- Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ-20921-400, Brazil; Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, Brazil
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
- George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, and Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
- Institut de Física d’Altes Energies (IFAE), the Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain; Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain
- Department of Physics and Astronomy, Pevensey Building, University of Sussex, Brighton BN1 9QH, UK
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
- Physics Department, Brandeis University, 415 South Street, Waltham, MA 02453, USA
- Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ-20921-400, Brazil; Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil
- Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
- Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
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 δg=Σ$$3\atop{k=0}$$(bk/k!)δk, finding a non-zero value for b2 at the 3σ 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-1Mpc).
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE
- Contributing Organization:
- DES Collaboration
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1480549
- Alternate ID(s):
- OSTI ID: 1481647
- Journal Information:
- Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 2; ISSN 0035-8711
- Publisher:
- Royal Astronomical SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Linear bias forecasts for emission line cosmological surveys
|
journal | May 2019 |
Extreme spheres: counts-in-cells for 21cm intensity mapping
|
journal | December 2018 |
Extreme Spheres: Counts-in-cells for 21cm intensity mapping | text | January 2018 |
Similar Records
Evidence for galaxy assembly bias in BOSS CMASS redshift-space galaxy correlation function
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