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28 March 2024 |
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nIFTy Cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics | Chia-Hsun Chuang
; Cheng Zhao
; Francisco Prada
; Emiliano Munari
; Santiago Avila
; Albert Izard
; Francisco-Shu Kitaura
; Marc Manera
; Pierluigi Monaco
; Steven Murray
; Alexander Knebe
; Claudia G. Scoccola
; Gustavo Yepes
; Juan Garcia-Bellido
; Felipe A. Marin
; Volker Muller
; Ramin Skibba
; Martin Crocce
; Pablo Fosalba
; Stefan Gottlober
; Anatoly A. Klypin
; Chris Power
; Charling Tao
; Victor Turchaninov
; | Date: |
24 Dec 2014 | 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. For those methods
that only produce distinct haloes, a halo occupation distribution (HOD) scheme
is applied to generate substructures. We find however, that it is not trivial
to reproduce the clustering properties of the reference SO catalogue that
include both distinct haloes and subhaloes with high accuracy. 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. | Source: | arXiv, 1412.7729 | Services: | Forum | Review | PDF | Favorites |
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