Bibcode
Balaguera-Antolínez, A.; Kitaura, Francisco-Shu; Pellejero-Ibáñez, M-; Zhao, Cheng; Abel, Tom
Bibliographical reference
Monthly Notices of the Royal Astronomical Society: Letters, Volume 483, Issue 1, p.L58-L63
Advertised on:
2
2019
Citations
29
Refereed citations
27
Description
We present BAM: a novel Bias Assignment Method envisaged to generate
mock catalogues. Combining the statistics of dark matter tracers from a
high-resolution cosmological N-body simulation and the dark matter
density field calculated from down-sampled initial conditions using
efficient structure formation solvers, we extract the halo-bias relation
on a mesh of a 3 h^{-1} Mpc cell side resolution as a function of
properties of the dark matter density field (e.g. local density, cosmic
web type), automatically including stochastic, deterministic, local and
non-local components. We use this information to sample the halo density
field, accounting for ignored dependencies through an iterative process.
By construction, our approach reaches {˜ } 1 {per cent} accuracy
in the majority of the k-range up to the Nyquist frequency without
systematic deviations for power spectra (about k ˜ 1 h
Mpc-1) using either particle mesh or Lagrangian perturbation
theory based solvers. When using phase-space mapping to compensate the
low resolution of the approximate gravity solvers, our method reproduces
the bispectra of the reference within 10 {per cent} precision studying
configurations tracing the quasi-non-linear regime. BAM has the
potential to become a standard technique to produce mock halo and galaxy
catalogues for future galaxy surveys and cosmological studies being
highly accurate, efficient and parameter free.
Related projects
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FRANCISCO SHU
KITAURA JOYANES