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  4. The DESI N-body Simulation Project - II. Suppressing sample variance with fast simulations
 
research article

The DESI N-body Simulation Project - II. Suppressing sample variance with fast simulations

Ding, Zhejie
•
Chuang, Chia-Hsun
•
Yu, Yu
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June 23, 2022
Monthly Notices Of The Royal Astronomical Society

Dark Energy Spectroscopic Instrument (DESI) will construct a large and precise three-dimensional map of our Universe. The survey effective volume reaches similar to 20 h(-3) Gpc(3). It is a great challenge to prepare high-resolution simulations with a much larger volume for validating the DESI analysis pipelines. ABACUSSUMMIT is a suite of high-resolution dark-matter-only simulations designed for this purpose, with 200 h(-3) Gpc(3) (10 times DESI volume) for the base cosmology. However, further efforts need to be done to provide a more precise analysis of the data and to cover also other cosmologies. Recently, the CARPool method was proposed to use paired accurate and approximate simulations to achieve high statistical precision with a limited number of high-resolution simulations. Relying on this technique, we propose to use fast quasi-N-body solvers combined with accurate simulations to produce accurate summary statistics. This enables us to obtain 100 times smaller variance than the expected DESI statistical variance at the scales we are interested in, e.g. k < 0.3 h Mpc(-1) for the halo power spectrum. In addition, it can significantly suppress the sample variance of the halo bispectrum. We further generalize the method for other cosmologies with only one realization in ABACUSSUMMIT suite to extend the effective volume similar to 20 times. In summary, our proposed strategy of combining high-fidelity simulations with fast approximate gravity solvers and a series of variance suppression techniques sets the path for a robust cosmological analysis of galaxy survey data.

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Type
research article
DOI
10.1093/mnras/stac1501
Web of Science ID

WOS:000815272400011

Author(s)
Ding, Zhejie
Chuang, Chia-Hsun
Yu, Yu
Garrison, Lehman H.
Bayer, Adrian E.
Feng, Yu
Modi, Chirag
Eisenstein, Daniel J.
White, Martin
Variu, Andrei  
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Date Issued

2022-06-23

Publisher

OXFORD UNIV PRESS

Published in
Monthly Notices Of The Royal Astronomical Society
Volume

514

Issue

3

Start page

3308

End page

3328

Subjects

Astronomy & Astrophysics

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methods: statistical

•

galaxies: haloes

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cosmology: theory

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large-scale structure of universe

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dark-matter

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mock catalogs

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galaxies

•

scheme

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASTRO  
Available on Infoscience
July 18, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/189423
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