# Testing approximate predictions of displacements of cosmological dark   matter halos

**Authors:** Emiliano Munari, Pierluigi Monaco, Jun Koda, Francisco-Shu Kitaura,, Emiliano Sefusatti, Stefano Borgani

arXiv: 1704.00920 · 2017-08-09

## TL;DR

This paper evaluates how well various approximate methods can reproduce the clustering of dark matter halos in cosmological simulations, focusing on their accuracy in predicting halo positions and velocities across different redshifts.

## Contribution

It introduces a novel testing procedure to assess the accuracy of approximate methods in reproducing halo clustering without requiring precise halo reconstruction.

## Key findings

- Higher LPT orders improve halo clustering reproduction.
- COLA outperforms all LPT methods in accuracy.
- Little improvement in matter density field with higher LPT orders.

## Abstract

We present a test to quantify how well some approximate methods, designed to reproduce the mildly non-linear evolution of perturbations, are able to reproduce the clustering of DM halos once the grouping of particles into halos is defined and kept fixed. The following methods have been considered: Lagrangian Perturbation Theory (LPT) up to third order, Truncated LPT, Augmented LPT, MUSCLE and COLA. The test runs as follows: halos are defined by applying a friends-of-friends (FoF) halo finder to the output of an N-body simulation. The approximate methods are then applied to the same initial conditions of the simulation, producing for all particles displacements from their starting position and velocities. The position and velocity of each halo are computed by averaging over the particles that belong to that halo, according to the FoF halo finder. This procedure allows us to perform a well-posed test of how clustering of the matter density and halo density fields are recovered, without asking to the approximate method an accurate reconstruction of halos. We have considered the results at $z=0,0.5,1$, and we have analysed power spectrum in real and redshift space, object-by-object difference in position and velocity, density Probability Distribution Function (PDF) and its moments, phase difference of Fourier modes. We find that higher LPT orders are generally able to better reproduce the clustering of halos, while little or no improvement is found for the matter density field when going to 2LPT and 3LPT. Augmentation provides some improvement when coupled with 2LPT, while its effect is limited when coupled with 3LPT. Little improvement is brought by MUSCLE with respect to Augmentation. The more expensive particle-mesh code COLA outperforms all LPT methods [abridged]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1704.00920/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/1704.00920/full.md

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Source: https://tomesphere.com/paper/1704.00920