# Testing the conditional mass function of dark matter halos against   numerical N-body simulations

**Authors:** D. Tramonte, J. A. Rubi\~no-Mart\'in, J. Betancort-Rijo, C. Dalla, Vecchia

arXiv: 1702.01788 · 2017-02-08

## TL;DR

This paper evaluates theoretical models of the conditional mass function of dark matter halos against N-body simulations, identifying modifications needed for normalization and providing an analytical bias function for underdense regions.

## Contribution

It compares two rescaling methods for the CMF, introduces a normalization modification, and offers an analytical bias function for void studies.

## Key findings

- Neither rescaling method alone provides a normalized CMF.
- A modified rescaling improves the match with simulations.
- The analytical bias function aids in void statistics computations.

## Abstract

We compare the predicted conditional mass function (CMF) of dark matter halos from two theoretical prescriptions against numerical N-body simulations, both in overdense and underdense regions and at different Eulerian scales ranging from $5$ to $30\,h^{-1}\,$Mpc. In particular, we consider in detail a locally-implemented rescaling of the unconditional mass function (UMF) already discussed in the literature, and also a generalization of the standard rescaling method described in the extended Press-Schechter formalism. First, we test the consistency of these two rescalings by verifying the normalization of the CMF at different scales, and showing that none of the proposed cases provides a normalized CMF. In order to satisfy the normalization condition, we include a modification in the rescaling procedure. After this modification, the resulting CMF generally provides a better description of numerical results. We finally present an analytical fit to the ratio between the CMF and the UMF (also known as the matter-to-halo bias function) in underdense regions, which could be of special interest to speed-up the computation of the halo abundance when studying void statistics. In this case, the CMF prescription based on the locally-implemented rescaling provides a slightly better description of the numerical results when compared to the standard rescaling.

## Full text

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## Figures

68 figures with captions in the complete paper: https://tomesphere.com/paper/1702.01788/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/1702.01788/full.md

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Source: https://tomesphere.com/paper/1702.01788