Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data

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 Dark Energy Survey (DES). We find that the linear bias obtained with CiC is consistent with measurements of the bias performed using galaxy-galaxy clustering, galaxy-galaxy lensing, CMB lensing, and shear+clustering measurements. Furthermore, we compute the projected (2D) non-linear bias using the expansion ${\delta }_g={\sum }_{k=0}^3(b_k/k!){\delta }^k$, 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 ($>30$ Mpc $h^{-1}$)

arXiv commentAccepted for publication in MNRAS

References in corpus (54)

• Maps of Dust IR Emission for Use in Estimation of Reddening and CMBR Foregrounds
• emcee: The MCMC Hammer
• Planck 2013 results. XVI. Cosmological parameters
• HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
• Large scale bias and the peak background split
• The USNO-B Catalog
• An analytic model for the spatial clustering of dark matter haloes
• Bayesian photometric redshift estimation
• The Dark Energy Survey: more than dark energy - an overview
• zCOSMOS: A Large VLT/VIMOS redshift survey covering 0 < z < 3 in the COSMOS field
• Galaxy Clustering in Early SDSS Redshift Data
• The 2dF Galaxy Redshift Survey: The dependence of galaxy clustering on luminosity and spectral type
• Biasing and Hierarchical Statistics in Large-scale Structure
• The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35016 galaxies and AGN out to z~6.7 selected with 17.5<=i_{AB}<=24.7
• Statistical Analysis of Galaxy Surveys - I. Robust error estimation for 2-point clustering statistics
• TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
• The power spectrum and bispectrum of SDSS DR11 BOSS galaxies I: bias and gravity
• The time-evolution of bias
• redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
• Simulating the Universe with MICE: The abundance of massive clusters
• The MICE Grand Challenge Lightcone Simulation II: Halo and Galaxy catalogues
• Skewness and Kurtosis in Large-Scale Cosmic Fields
• Photometric redshift analysis in the Dark Energy Survey Science Verification data
• On the Prediction of Velocity Fields from Redshift Space Galaxy Samples
• The onion universe: all sky lightcone simulations in spherical shells
• Constraints on the Effects of Locally-biased Galaxy Formation
• Reconstructing Nonlinear Stochastic Bias from Velocity Space Distortions
• Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data
• CMB lensing tomography with the DES Science Verification galaxies
• High-order galaxy correlation functions in the APM Galaxy Survey
• Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data
• Tracing The Sound Horizon Scale With Photometric Redshift Surveys
• Time Evolution of Galaxy Formation and Bias in Cosmological Simulations
• Large scale bias and the inaccuracy of the peak-background split
• Cross-Correlation of spectroscopic and photometric galaxy surveys: cosmology from lensing and redshift distortions
• The Local Bias Model in the Large Scale Halo Distribution
• The Projected Three-point Correlation Function: Theory and Observations
• Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps
• Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data
• Euclid Mission: building of a Reference Survey
• A New Method for Calculating Counts in Cells
• Higher Order Moments of the Angular Distribution of Galaxies from Early SDSS Data
• The galaxy counts-in-cells distribution from the SDSS
• Weak lensing magnification in the Dark Energy Survey Science Verification Data
• Comparing halo bias from abundance and clustering
• What determines large scale galaxy clustering: halo mass or local density?
• Precision Measurements of Higher-Order Angular Galaxy Correlations Using 11 Million SDSS Galaxies
• Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps
• Non-local bias contribution to third-order galaxy correlations
• A new method to measure galaxy bias
• Evolution of hierarchical clustering in the CFHTLS-Wide since z~1
• Two Galaxy Clusters: A3565 and A3560
• Galaxy bias from galaxy-galaxy lensing in the DES Science Verification Data
• Nonlinear stochastic biasing of halos: Analysis of cosmological N-body simulations and perturbation theories

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• Extreme Spheres: Counts-in-cells for 21cm intensity mapping
• Halo Counts-in-cells for Cosmological Models with Different Dark Energy
• Mass classification of dark matter perturbers of stellar tidal streams
• Reconstructing the Gravitational Lensing Potential from the Lyman-$\alpha$ Forest
• Counts-in-Cells of subhaloes in the IllustrisTNG simulations: the role of baryonic physics
• Influence of photometric galaxies redshift distribution in BAO estimation
• Obtaining non-linear galaxy bias constraints from galaxy-lensing phase differences
• Preliminary clustering properties of the DESI BGS bright targets using DR9 Legacy Imaging Surveys