Bibcode
Chuang, Chia-Hsun; Yepes, Gustavo; Kitaura, F.-Sh.; Pellejero-Ibanez, M.; Rodríguez-Torres, Sergio; Feng, Yu; Metcalf, Robert Benton; Wechsler, Risa H.; Zhao, Cheng; To, Chun-Hao; Alam, Shadab; Banerjee, Arka; DeRose, Joseph; Giocoli, Carlo; Knebe, Alexander; Reyes, Guillermo
Referencia bibliográfica
Monthly Notices of the Royal Astronomical Society, Volume 487, Issue 1, p.48-59
Fecha de publicación:
7
2019
Número de citas
79
Número de citas referidas
71
Descripción
We present the UNIT N-body cosmological simulations project, designed to
provide precise predictions for non-linear statistics of the galaxy
distribution. We focus on characterizing statistics relevant to emission
line and luminous red galaxies in the current and upcoming generation of
galaxy surveys. We use a suite of precise particle mesh simulations
(FASTPM) as well as with full N-body calculations with a mass resolution
of {˜ } 1.2× 10^9 h^{-1}M⊙ to investigate the
recently suggested technique of Angulo and Pontzen to suppress the
variance of cosmological simulations. We study redshift-space
distortions, cosmic voids, higher order statistics from z = 2 down to 0.
We find that both two- and three-point statistics are unbiased. Over the
scales of interest for baryon acoustic oscillations and redshift-space
distortions, we find that the variance is greatly reduced in the
two-point statistics and in the cross-correlation between haloes and
cosmic voids, but is not reduced significantly for the three-point
statistics. We demonstrate that the accuracy of the two-point
correlation function for a galaxy survey with effective volume of 20
(h-1Gpc)3 is improved by about a factor of 40,
indicating that two pairs of simulations with a volume of 1
(h-1Gpc)3 lead to the equivalent variance of
˜150 such simulations. The N-body simulations presented here thus
provide an effective survey volume of about seven times the effective
survey volume of Dark Energy Spectroscopic Instrument or Euclid. The
data from this project, including dark matter fields, halo catalogues,
and their clustering statistics, are publicly available.
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