nIFTy Cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics

Abstract

We present a comparison of major methodologies of fast generating mock halo or galaxy catalogues. The comparison is done for two-point and the three-point clustering statistics. The reference catalogues are drawn from the BigMultiDark N-body simulation. Both friend-of-friends (including distinct halos only) and spherical overdensity (including distinct halos and subhalos) catalogs have been used with the typical number density of a large-volume galaxy surveys. We demonstrate that a proper biasing model is essential for reproducing the power spectrum at quasilinear and even smaller scales. With respect to various clustering statistics a methodology based on perturbation theory and a realistic biasing model leads to very good agreement with N-body simulations. However, for the quadrupole of the correlation function or the power spectrum, only the method based on semi-N-body simulation could reach high accuracy (1% level) at small scales, i.e., r<25 Mpc/h or k>0.15 h/Mpc. Full N-body solutions will remain indispensable to produce reference catalogues. Nevertheless, we have demonstrated that the far more efficient approximate solvers can reach a few percent accuracy in terms of clustering statistics at the scales interesting for the large-scale structure analysis after calibration with a few reference N-body calculations. This makes them useful for massive production aimed at covariance studies, to scan large parameter spaces, and to estimate uncertainties in data analysis techniques, such as baryon acoustic oscillation reconstruction, redshift distortion measurements, etc.

16 pages, 15 figures; matches the version accepted by MNRAS; a bug in PINOCCHIO code has been fixed; no major modification from previous version

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Cited by in corpus (25)

• Large-scale dark matter simulations
• The Effect of Fiber Collisions on the Galaxy Power Spectrum Multipole
• Generating Log-normal Mock Catalog of Galaxies in Redshift Space
• The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from multi-tracer BAO analysis with galaxies and voids
• Galaxy 2-Point Covariance Matrix Estimation for Next Generation Surveys
• ICE-COLA: fast simulations for weak lensing observables
• sCOLA: The N-body COLA Method Extended to the Spatial Domain
• From EMBER to FIRE: predicting high resolution baryon fields from dark matter simulations with Deep Learning
• The DESI $N$-body Simulation Project -- II. Suppressing sample variance with fast simulations
• Simulating cosmologies beyond $\Lambda$CDM with PINOCCHIO
• The halo light cone catalogues of \Abacus{AbacusSummit}
• Reconstructing the cosmological density and velocity fields from redshifted galaxy distributions using V-net
• Analytical and EZmock covariance validation for the DESI 2024 results
• The bias of dark matter tracers: assessing the accuracy of mapping techniques
• Fast generation of mock galaxy catalogues in modified gravity models with COLA
• Cleaning foregrounds from single-dish 21cm intensity maps with Kernel Principal Component Analysis
• Primordial feature constraints from BOSS+eBOSS
• Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters
• $\text{PineTree}$: A generative, fast, and differentiable halo model for wide-field galaxy surveys
• Beyond the Lognormal Approximation: a General Simulation Scheme
• Euclid preparation. Simulating thousands of Euclid spectroscopic skies
• Covariance matrices for variance-suppressed simulations
• Numerical implementation of the Cubic Galileon model in PINOCCHIO
• On the Robustness of Cluster Clustering Covariance Calibration
• Halo mass distribution reconstruction across the cosmic web