CosmoMIA: Cosmic Web-based redshift space halo distribution
arxiv(2024)
摘要
Modern galaxy surveys demand extensive survey volumes and resolutions
surpassing current dark matter-only simulations' capabilities. To address this,
many methods employ effective bias models on the dark matter field to
approximate object counts on a grid. However, realistic catalogs necessitate
specific coordinates and velocities for a comprehensive understanding of the
Universe. In this research, we explore sub-grid modeling to create accurate
catalogs, beginning with coarse grid number counts at resolutions of
approximately 5.5 h^-1 Mpc per side. These resolutions strike a balance
between modeling nonlinear damping of baryon acoustic oscillations and
facilitating large-volume simulations. Augmented Lagrangian Perturbation Theory
(ALPT) is utilized to model the dark matter field and motions, replicating the
clustering of a halo catalog derived from a massive simulation at z=1.1. Our
approach involves four key stages:
Tracer Assignment: Allocating dark matter particles to tracers based on grid
cell counts, generating additional particles to address discrepancies.
Attractor Identification: Defining attractors based on particle cosmic web
environments, acting as gravitational focal points.
Tracer Collapse: Guiding tracers towards attractors, simulating structure
collapse.
Redshift Space Distortions: Introducing redshift space distortions to
simulated catalogs using ALPT and a random dispersion term.
Results demonstrate accurate reproduction of monopoles and quadrupoles up to
wave numbers of approximately k=0.6 h Mpc^-1. This method holds
significant promise for galaxy surveys like DESI, EUCLID, and LSST, enhancing
our understanding of the cosmos across scales.
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