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:
-
- 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)
- Flatiron Institute, New York, NY (United States). Center for Computational Astrophysics
- Publication Date:
- Research Org.:
- SLAC National Accelerator Laboratory (SLAC), 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. https://doi.org/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. https://doi.org/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 = {Mon Sep 17 00:00:00 EDT 2018},
month = {Mon Sep 17 00:00:00 EDT 2018}
}
Web of Science
Figures / Tables:
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Figures / Tables found in this record: