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Title: High mass and halo resolution from fast low resolution simulations

Abstract

Generating mocks for future sky surveys requires large volumes and high resolutions, which is computationally expensive even for fast simulations. Here we try to develop numerical schemes to calibrate various halo and matter statistics in fast low resolution simulations compared to high resolution N-body and hydrodynamic simulations. For the halos, we improve the initial condition resolution and develop a halo finder "relaxed-FoF", where we allow different linking lengths for different halo mass and velocity dispersions. We show that our relaxed-FoF halo finder improves the common statistics, such as halo bias, halo mass function, halo auto power spectrum, cross correlation coefficient with the reference halo catalog, and halo-matter cross power spectrum. We also calibrate small-scale velocities of small halos to improve the power spectrum in redshift space. For the matter statistics, we incorporate the potential gradient descent (PGD) method into fast simulations to improve the matter distribution at nonlinear scales. By building a lightcone output, we show that the PGD method significantly improves the weak lensing convergence tomographic power spectrum. With these improvements FastPM is comparable to the high resolution full N-body simulation of the same mass resolution, with two orders of magnitude fewer time steps. These techniques can be usedmore » to improve the halo and matter statistics of FastPM simulations for mock catalogs of future surveys such as DESI and LSST.« less

Authors:
 [1];  [1];  [2];  [1]
  1. Univ. of California, Berkeley, CA (United States)
  2. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1737610
Grant/Contract Number:  
AC02-05CH11231; 1814370; 1839217; 80NSSC18K1274
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Cosmology and Astroparticle Physics
Additional Journal Information:
Journal Volume: 2020; Journal Issue: 04; Journal ID: ISSN 1475-7516
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Dai, Biwei, Feng, Yu, Seljak, Uroš, and Singh, Sukhdeep. High mass and halo resolution from fast low resolution simulations. United States: N. p., 2020. Web. https://doi.org/10.1088/1475-7516/2020/04/002.
Dai, Biwei, Feng, Yu, Seljak, Uroš, & Singh, Sukhdeep. High mass and halo resolution from fast low resolution simulations. United States. https://doi.org/10.1088/1475-7516/2020/04/002
Dai, Biwei, Feng, Yu, Seljak, Uroš, and Singh, Sukhdeep. Wed . "High mass and halo resolution from fast low resolution simulations". United States. https://doi.org/10.1088/1475-7516/2020/04/002. https://www.osti.gov/servlets/purl/1737610.
@article{osti_1737610,
title = {High mass and halo resolution from fast low resolution simulations},
author = {Dai, Biwei and Feng, Yu and Seljak, Uroš and Singh, Sukhdeep},
abstractNote = {Generating mocks for future sky surveys requires large volumes and high resolutions, which is computationally expensive even for fast simulations. Here we try to develop numerical schemes to calibrate various halo and matter statistics in fast low resolution simulations compared to high resolution N-body and hydrodynamic simulations. For the halos, we improve the initial condition resolution and develop a halo finder "relaxed-FoF", where we allow different linking lengths for different halo mass and velocity dispersions. We show that our relaxed-FoF halo finder improves the common statistics, such as halo bias, halo mass function, halo auto power spectrum, cross correlation coefficient with the reference halo catalog, and halo-matter cross power spectrum. We also calibrate small-scale velocities of small halos to improve the power spectrum in redshift space. For the matter statistics, we incorporate the potential gradient descent (PGD) method into fast simulations to improve the matter distribution at nonlinear scales. By building a lightcone output, we show that the PGD method significantly improves the weak lensing convergence tomographic power spectrum. With these improvements FastPM is comparable to the high resolution full N-body simulation of the same mass resolution, with two orders of magnitude fewer time steps. These techniques can be used to improve the halo and matter statistics of FastPM simulations for mock catalogs of future surveys such as DESI and LSST.},
doi = {10.1088/1475-7516/2020/04/002},
journal = {Journal of Cosmology and Astroparticle Physics},
number = 04,
volume = 2020,
place = {United States},
year = {2020},
month = {4}
}

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