The bias of dark matter tracers: assessing the accuracy of mapping techniques

Abstract

We present a comparison between approximated methods for the construction of mock catalogs based on the halo-bias mapping technique. To this end, we use as reference a high resolution $N$-body simulation of 3840${}^3$ dark matter particles on a 400$h^{-1}\mathrm{Mpc}$ cube box from the Multidark suite. In particular, we explore parametric versus non-parametric bias mapping approaches and compare them at reproducing the halo distribution in terms of the two and three point statistics down to $\sim 10^8{\mathrm{M}}_{\odot }{h}^{-1}$ halo masses. Our findings demonstrate that the parametric approach remains inaccurate even including complex deterministic and stochastic components. On the contrary, the non-parametric one is indistinguishable from the reference $N$-body calculation in the power-spectrum beyond $k=1h{\mathrm{Mpc}}^{-1}$, and in the bispectrum for typical configurations relevant to baryon acoustic oscillation analysis. We conclude, that approaches which extract the full bias information from $N$-body simulations in a non-parametric fashion are ready for the analysis of the new generation of large scale structure surveys.

arXiv comment8 pages, 11 figures, 1 table

References in corpus (51)

• Planck 2015 results. XIII. Cosmological parameters
• Baryonic Features in the Matter Transfer Function
• Ellipsoidal collapse and an improved model for the number and spatial distribution of dark matter haloes
• The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores
• Cosmology and Fundamental Physics with the Euclid Satellite
• MultiDark simulations: the story of dark matter halo concentrations and density profiles
• The Luminosity and Color Dependence of the Galaxy Correlation Function
• Large-Scale Galaxy Bias
• Properties of Dark Matter Haloes in Clusters, Filaments, Sheets and Voids
• Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS
• The Halo Occupation Distribution and the Physics of Galaxy Formation
• The DESI Experiment, a whitepaper for Snowmass 2013
• Stochastic Nonlinear Galaxy Biasing
• Solving Large Scale Structure in Ten Easy Steps with COLA
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: a large sample of mock galaxy catalogues
• Non-Linear Evolution of the Bispectrum of Cosmological Perturbations
• PINOCCHIO: pinpointing orbit-crossing collapsed hierarchical objects in a linear density field
• Learning to Predict the Cosmological Structure Formation
• FastPM: a new scheme for fast simulations of dark matter and halos
• Putting the Precision in Precision Cosmology: How accurate should your data covariance matrix be?
• The Effect of Covariance Estimator Error on Cosmological Parameter Constraints
• EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics
• PTHalos: A fast method for generating mock galaxy distributions
• Mock galaxy catalogs using the quick particle mesh method
• The Bispectrum: From Theory to Observations
• Modelling Baryon Acoustic Oscillations with Perturbation Theory and Stochastic Halo Biasing
• CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
• The One-Loop Matter Bispectrum in the Effective Field Theory of Large Scale Structures
• Cosmological Structure Formation with Augmented Lagrangian Perturbation Theory
• Non-local Lagrangian bias
• ICE-COLA: Towards fast and accurate synthetic galaxy catalogues optimizing a quasi $N$-body method
• Cubic Halo Bias in Eulerian and Lagrangian Space
• Comparing approximate methods for mock catalogues and covariance matrices II: Power spectrum multipoles
• nIFTy Cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
• Comparing approximate methods for mock catalogues and covariance matrices I: correlation function
• Fast and accurate mock catalogue generation for low-mass galaxies
• Comparing approximate methods for mock catalogues and covariance matrices III: Bispectrum
• Constraining the halo bispectrum in real and redshift space from perturbation theory and non-linear stochastic bias
• A halo bias function measured deeply into voids without stochasticity
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the low-redshift sample
• HALOGEN: A tool for fast generation of mock halo catalogues
• Improving the precision matrix for precision cosmology
• The impact of galaxy formation on satellite kinematics and redshift-space distortions
• BAM: Bias Assignment Method to generate mock catalogs
• Galaxy clustering dependence on the $\left[\mathrm{O}\mathrm{II}\right]$ emission line luminosity in the local Universe
• CosmoFlow: Using Deep Learning to Learn the Universe at Scale
• Extending the halo mass resolution of $N$-body simulations
• One simulation to have them all: performance of the Bias Assignment Method against N-body simulations
• Accurate halo-galaxy mocks from automatic bias estimation and particle mesh gravity solvers
• Reconstructing Probability Distributions with Gaussian Processes

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• The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release
• COSMIC BIRTH: Efficient Bayesian Inference of the Evolving Cosmic Web from Galaxy Surveys
• The Bacco Simulation Project: Bacco Hybrid Lagrangian Bias Expansion Model in Redshift Space
• Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and $N$-body simulations
• One simulation to have them all: performance of the Bias Assignment Method against N-body simulations
• The cosmic web connection to the dark matter halo distribution through gravity
• Mapping Lyman-alpha forest three-dimensional large scale structure in real and redshift space
• Primordial feature constraints from BOSS+eBOSS
• DESI Mock Challenge: Constructing DESI galaxy catalogues based on FastPM simulations
• Secondary halo bias through cosmic time II: Reconstructing halo properties using clustering information
• The bias from hydrodynamic simulations: mapping baryon physics onto dark matter fields
• Fast simulation mapping: from standard to modified gravity cosmologies using the bias assignment method
• Gaussian Lagrangian Galaxy Bias
• Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density
• Differentiable Fuzzy Cosmic-Web for Field Level Inference