Halo mass distribution reconstruction across the cosmic web

DOI: 
10.1093/mnras/stv1262
Publication date: 
21/08/2015
Main author: 
Zhao C.
IAA authors: 
Prada F.
Authors: 
Zhao C., Kitaura F.-S., Chuang C.-H., Prada F., Yepes G., Tao C.
Journal: 
Monthly Notices of the Royal Astronomical Society
Publication type: 
Article
Volume: 
451
Pages: 
4266-4276
Number: 
Abstract: 
We study the relation between halo mass and its environment from a probabilistic perspective. We find that halo mass depends not only on local dark matter density, but also on nonlocal quantities such as the cosmic web environment and the halo-exclusion effect. Given these accurate relations, we have developed the HADRON-code (Halo mAss Distribution ReconstructiON), a technique which permits us to assign halo masses to a distribution of haloes in three-dimensional space. This can be applied to the fast production of mock galaxy catalogues, by assigning halo masses, and reproducing accurately the bias for different mass cuts. The resulting clustering of the halo populations agree well with that drawn from the BigMultiDark N-body simulation: the power spectra are within 1σ up to scales of k = 0.2 h Mpc-1, when using augmented Lagrangian perturbation theory based mock catalogues. Only the most massive haloes show a larger deviation. For these, we find evidence of the halo-exclusion effect. A clear improvement is achieved when assigning the highest masses to haloes with a minimum distance separation. We also compute the two- and three-point correlation functions, and find an excellent agreement with N-body results. Our work represents a quantitative application of the cosmic web classification. It can have further interesting applications in the multitracer analysis of the large-scale structure for future galaxy surveys. © 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society.
Database: 
WOK
SCOPUS
ADS
URL: 
https://ui.adsabs.harvard.edu/#abs/2015MNRAS.451.4266Z/abstract
ADS Bibcode: 
2015MNRAS.451.4266Z
Keywords: 
Catalogues; Galaxies: clusters: general; Galaxies: statistics; Large-scale structure of Universe