publication . Article . Other literature type . Preprint . 2019

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

T. M. C. Abbott; Rafe Schindler; Marcos Lima; M. G. Smith; Marcelle Soares-Santos; Pablo Fosalba; G. Tarle; E. Bertin; Sahar S. Allam; N. Kuropatkin; ...
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Open Access English
  • Published: 01 Jan 2019
  • Publisher: HAL CCSD
Abstract
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 (SV) data from the Da...
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doi: 10.1093/mnras/sty2802
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic Astrophysics
free text keywords: cosmological parameters, cosmology: observations, dark energy, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], QC, observations [Cosmology], RCUK, STFC, /dk/atira/pure/subjectarea/asjc/3100/3103, Astronomy and Astrophysics, /dk/atira/pure/subjectarea/asjc/1900/1912, Space and Planetary Science, Cosmological parameters, cosmology: observations, dark energy, large-scale structure of Universe, Cosmologia - Observações, Energia escura (Astronomia), Cosmology - Observations, Dark energy (Astronomy), Astrophysics - Cosmology and Nongalactic Astrophysics, Density distribution, Cluster analysis, Dark matter, Galaxy, Redshift, Astrophysics, Physics, Cosmic microwave background, Nonlinear system
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Funded by
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
Collaborative Research: The Dark Energy Survey Data Management Operations
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
, EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
, EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
, EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
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96 references, page 1 of 7

Ade P. A. R. et al., 2014, A&A, 571, A16

Amiaux J., Scaramella R., Mellier, 2012, Clampin M. C., Giovanni F. G., MacEwen H. A., Oschmann J. M. Jr., in Proc. SPIE Conf. Ser. Vol. 8442, Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave. SPIE, Bellingham, p. 84420Z

Bardeen J., Bond J., Kaiser N., Szalay A., 1986, ApJ, 304, 15 Bel J., Hoffmann K., Gaztan˜aga E., 2015, MNRAS, 453, 259 Benitez N., 2000, ApJ, 536, 571

Bernardeau F., 1994, ApJ, 433, 1

Bernardeau F., 1996, A&A, 312, 11

Bertin E., Arnouts S., 1996, A&AS, 117, 393

Blanton M., Cen R., Ostriker J. P., Strauss M. A., Tegmark M., 2000, ApJ, 531, 1

Bouchet F. R., Juszkiewicz R., Colombi S., Pellat R., 1992, ApJ, 394, L5 Carrasco Kind M., Brunner R. J., 2013, MNRAS, 432, 1483 Chang C. et al., 2016, MNRAS, 459, 3203

Clerkin L., et al., 2017, MNRAS, 466, 1444

Crocce M., Fosalba P., Castander F. J., Gaztan˜aga E., 2010, MNRAS, 403, 1353

Crocce M., Castander F. J., Gaztan˜aga E., Fosalba P., Carretero J., 2015, MNRAS, 453, 1513

Crocce M. et al., 2016, MNRAS, 455, 4301

Dark Energy Survey Collaboration, 2016, MNRAS, 460, 1270 Davis M., Geller M. J., Huchra J., 1978, ApJ, 221, 1

Dressler A., 1980, ApJ, 236, 351

Drlica-Wagner A. et al., 2018, ApJS, 235, 33

96 references, page 1 of 7
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