Revealing the cosmic web dependent halo bias

Xiaohu Yang, Youcai Zhang, Tianhuan Lu, Huiyuan Wang, Feng Shi, Dylan Tweed, Shijie Li, Wentao Luo, Yi Lu, Lei Yang

Published 2017-04-08Version 1

Halo bias is the one of the key ingredients of the halo models. It was shown at a given redshift to be only dependent, to the first order, on the halo mass. In this study, four types of cosmic web environments: clusters, filaments, sheets and voids are defined within a state of the art high resolution $N$-body simulation. Within those environments, we use both halo-dark matter cross-correlation and halo-halo auto correlation functions to probe the clustering properties of halos. The nature of the halo bias differs strongly among the four different cosmic web environments we describe. With respect to the overall population, halos in clusters have significantly lower biases in the {$10^{11.0}\sim 10^{13.5}\msunh$} mass range. In other environments however, halos show extremely enhanced biases up to a factor 10 in voids for halos of mass {$\sim 10^{12.0}\msunh$}. We demonstrate for the first time that the cosmic web environment is another first order term that should be rightfully implemented along with mass in halo bias models. In addition, age dependency is found to be only significant in clusters and filaments for relatively small halos $\la 10^{12.5}\msunh$.