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

DES Collaboration

Research output: Contribution to journalArticle

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 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 = Σ3 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-1 Mpc).

Original languageEnglish (US)
Pages (from-to)1435-1451
Number of pages17
JournalMonthly Notices of the Royal Astronomical Society
Volume482
Issue number2
DOIs
StatePublished - Jan 11 2019

Keywords

  • Cosmological parameters
  • Cosmology: observations
  • Dark energy
  • Large-scale structure of Universe

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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