The Cosmic Mach Number as an Environment Measure for the Underlying Dark Matter Density Field

TL;DR

This study demonstrates that the rank ordered Cosmic Mach number ($ ilde{ ext{M}}_g$) is a highly effective proxy for the underlying dark matter density field, showing strong correlations and potential to replace traditional density measures.

Contribution

Introduces the rank ordered Cosmic Mach number as a new environment measure, establishing its tight correlation with the density field and its advantages over number density counts.

Findings

$ ilde{ ext{M}}_g$ correlates strongly with overdensity and density gradient.

Mach numbers from halos match linear theory predictions within 10% at certain scales.

Simulation box size affects CMN predictions, with smaller boxes underestimating values.

Abstract

Using cosmological dark matter only simulations of a $(1.6$ Gpc$/h)^3$ 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 ($\hat{\mathcal{M}}_g$), which shows a tight correlations with the overdensity $\delta=\frac{\rho-\bar{\rho}}{\bar{\rho}}$. Measures of the large scale density gradient as well as other average properties of the halo population in a region show tight correlations with $\hat{\mathcal{M}}_g$ as well. Our results in this first empirical study suggest that $\hat{\mathcal{M}}_g$ 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 $10$ and $100 Mpc$/h, Mach numbers calculated using dark matter halos $(> 10^{12}$ M$_{\odot})$ that would typically host massive galaxies are consistent with theoretical predictions of the linear matter power spectrum at a level of $10\%$ due to non-linear effects of gravity. At redshifts $z\geq 3$, these deviations disappear. We also quantify errors due to missing large scale modes in simulations. Simulations of box size $\leq 1 $ Gpc/$h$ typically predict CMNs 10-30\% too small on scales of$\sim 100$ Mpc$/h$.