The Cosmic Mach Number as an Environment Measure for the Underlying Dark Matter Density Field
arXiv:2202.03922 · doi:10.1093/mnras/stac435
Abstract
Using cosmological dark matter only simulations of a Gpc volume from the Legacy simulation project, we calculate Cosmic Mach Numbers (CMN) and perform a theoretical investigation of their relation with halo properties and features of the density field to gauge their use as an measure of the environment. CMNs calculated on individual spheres show correlations with both the overdensity in a region and the density gradient in the direction of the bulk flow around that region. To reduce the scatter around the median of these correlations, we introduce a new measure, the rank ordered Cosmic Mach number (), which shows a tight correlations with the overdensity . Measures of the large scale density gradient as well as other average properties of the halo population in a region show tight correlations with as well. Our results in this first empirical study suggest that is an excellent proxy for the underlying density field and hence environment that can circumvent reliance on number density counts in a region. For scales between and /h, Mach numbers calculated using dark matter halos M that would typically host massive galaxies are consistent with theoretical predictions of the linear matter power spectrum at a level of due to non-linear effects of gravity. At redshifts , these deviations disappear. We also quantify errors due to missing large scale modes in simulations. Simulations of box size Gpc/ typically predict CMNs 10-30\% too small on scales of Mpc.
arXiv comment16 pages, 20 figures. Accepted for publication in MNRAS on 08/02/2022. Typos corrected
References in corpus (20)
- The cosmological simulation code GADGET-2
- Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results
- Simulating the joint evolution of quasars, galaxies and their large-scale distribution
- The EAGLE project: Simulating the evolution and assembly of galaxies and their environments
- First results from the IllustrisTNG simulations: matter and galaxy clustering
- Toward a halo mass function for precision cosmology: the limits of universality
- The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations
- The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores
- Chandra Cluster Cosmology Project III: Cosmological Parameter Constraints
- Power Spectrum Analysis of Three-Dimensional Redshift Surveys
- Multi-scale initial conditions for cosmological simulations
- Cosmic Growth History and Expansion History
- nbodykit: an open-source, massively parallel toolkit for large-scale structure
- Peculiar velocities of galaxies and clusters
- Accurate estimators of power spectra in N-body simulations
- The Galaxy Pairwise Velocity Dispersion as a Function of Local Density
- Velocity Correlations of Galaxy Clusters
- Cosmic Mach Number as a Function of Overdensity and Galaxy Age
- Cosmic Mach Number: A Sensitive Probe for the Growth of Structure
- The Cosmic Mach Number: Comparison from Observations, Numerical Simulations and Nonlinear Predictions