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Title: Reducing noise in cosmological N-body simulations with neutrinos

Abstract

In this study, we present a new method for generating initial conditions for numerical cosmological simulations in which massive neutrinos are treated as an extra set of N-body (collisionless) particles. It allows us to accurately follow the density field for both Cold Dark Matter (CDM) and neutrinos at both high and low redshifts. At high redshifts, the new method is able to reduce the shot noise in the neutrino power spectrum by a factor of more than 107 compared to previous methods, where the power spectrum was dominated by shot noise at all scales. We find that our new approach also helps to reduce the noise on the total matter power spectrum on large scales, whereas on small scales the results agree with previous simulations. Our new method also allows for a systematic study of clustering of the low velocity tail of the distribution function of neutrinos. Lastly, this method also allows for the study of the evolution of the overall velocity distribution as a function of the environment determined by the CDM field.

Authors:
 [1];  [1];  [1];  [2]
  1. Stanford Univ., CA (United States). Kavli Institute for Particle Astrophysics and Cosmology and Department of Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. Flatiron Institute, New York, NY (United States). Center for Computational Astrophysics
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1475420
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Cosmology and Astroparticle Physics
Additional Journal Information:
Journal Volume: 2018; Journal Issue: 09; Journal ID: ISSN 1475-7516
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Banerjee, Arka, Powell, Devon, Abel, Tom, and Villaescusa-Navarro, Francisco. Reducing noise in cosmological N-body simulations with neutrinos. United States: N. p., 2018. Web. doi:10.1088/1475-7516/2018/09/028.
Banerjee, Arka, Powell, Devon, Abel, Tom, & Villaescusa-Navarro, Francisco. Reducing noise in cosmological N-body simulations with neutrinos. United States. doi:10.1088/1475-7516/2018/09/028.
Banerjee, Arka, Powell, Devon, Abel, Tom, and Villaescusa-Navarro, Francisco. Mon . "Reducing noise in cosmological N-body simulations with neutrinos". United States. doi:10.1088/1475-7516/2018/09/028. https://www.osti.gov/servlets/purl/1475420.
@article{osti_1475420,
title = {Reducing noise in cosmological N-body simulations with neutrinos},
author = {Banerjee, Arka and Powell, Devon and Abel, Tom and Villaescusa-Navarro, Francisco},
abstractNote = {In this study, we present a new method for generating initial conditions for numerical cosmological simulations in which massive neutrinos are treated as an extra set of N-body (collisionless) particles. It allows us to accurately follow the density field for both Cold Dark Matter (CDM) and neutrinos at both high and low redshifts. At high redshifts, the new method is able to reduce the shot noise in the neutrino power spectrum by a factor of more than 107 compared to previous methods, where the power spectrum was dominated by shot noise at all scales. We find that our new approach also helps to reduce the noise on the total matter power spectrum on large scales, whereas on small scales the results agree with previous simulations. Our new method also allows for a systematic study of clustering of the low velocity tail of the distribution function of neutrinos. Lastly, this method also allows for the study of the evolution of the overall velocity distribution as a function of the environment determined by the CDM field.},
doi = {10.1088/1475-7516/2018/09/028},
journal = {Journal of Cosmology and Astroparticle Physics},
number = 09,
volume = 2018,
place = {United States},
year = {2018},
month = {9}
}

Journal Article:
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Cited by: 6 works
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Figures / Tables:

Figure 1 Figure 1: Illustration of our method for dividing up the initial Fermi-Dirac distribution for neutrinos. The solid lines represent the boundaries of different momentum bins, while the dashed lines represent the velocity associated with each shell (〈pi〉). On the top, we show the case when all the subdivisions have themore » same mass or phase-space volume. This has more resolution near the peak of the distribution. At the bottom, we show the subdivisions for the case where $g(p)$ as defined in the text is taken to be $g(p)$ = $p f(p)$. This puts more resolution on the slower end of the distribution function. Each sub-division of the distribution corresponds to a “shell” in our terminology.« less

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