2014/09/30 by Chia-Hsun Chuang, Francisco-Shu Kitaura, Francisco Prada +2 · 6 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysics #Bispectrum #Cluster analysis #Correlation function (quantum field theory) #Galaxies: Formation, Evolution, Phenomena #Galaxy #Galaxy cluster #Gamma-ray bursts and supernovae #Halo #Log-normal distribution #Physics #Quantum mechanics #Spectral density #Statistical physics #Statistics #Sunyaev–Zel'dovich effect #astro-ph.CO
paper · pdf · doi:10.1093/mnras/stu2301
published as Monthly Notices of the Royal Astronomical Society, Volume 446, Issue 3, p.2621-2628, 2015 · 8 pages, 6 figures, matches the version accepted by MNRAS
openalex publication_date 2014/11/28 · arxiv created 2017/08/07 · arxiv updated 2017/08/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We present a new methodology to generate mock halo or galaxy catalogues, which have accurate clustering properties, nearly indistinguishable from full N-body solutions, in terms of the one-point, two-point, and three-point statistics. In particular, the agreement is remarkable, within 1 per cent up to k = 0.55 h Mpc−1 and down to r = 10 h−1 Mpc, for the power spectrum and two-point correlation function, respectively, while the bispectrum agrees in general within 20 per cent for different scales and shapes. Our approach is based on the Zel'dovich approximation, however, effectively including with the simple prescriptions the missing physical ingredients, and stochastic scale-dependent, non-local, and non-linear biasing contributions. The computing time and memory required to produce one mock is similar to that using the lognormal model. With high accuracy and efficiency, the effective Zel'dovich approximation mocks (EZmocks) provide a reliable and practical method to produce massive mock galaxy catalogues for the analysis of large-scale structure measurements.