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Title: Simulating the cold dark matter-neutrino dipole with TianNu

Journal Article · · Physical Review D
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [3];  [8]
  1. Univ. of Toronto, ON (Canada). Canadian Inst. for Theoretical Astrophysics. Dept. of Physics
  2. Univ. of Toronto, ON (Canada). Canadian Inst. for Theoretical Astrophysics; Peking Univ., Beijing (China). Kavli Inst. for Astronomy and Astrophysics; Beijing Normal Univ. (China). Dept. of Astronomy
  3. Chinese Academy of Sciences (CAS), Beijing (China). National Astronomical Observatories. Key Lab. for Computational Astrophysics
  4. Argonne National Lab. (ANL), Argonne, IL (United States). ALCF Division
  5. Univ. of Toronto, ON (Canada). Canadian Inst. for Theoretical Astrophysics. Dunlap Inst. for Astronomy and Astrophysics; Canadian Inst. for Advanced Research (CIFAR), Toronto, ON (Canada). Program in Gravitation and Cosmology; Perimeter Inst. for Theoretical Physics, Waterloo, ON (Canada)
  6. Beijing Normal Univ. (China). Dept. of Astronomy; Dezhou Univ. (China). School of Information Management. School of Physics and Electric Information. Shandong Provincial Key Lab. of Biophysics; Sun Yat-Sen Univ., Guangzhou (China). National Supercomputer Center in Guangzhou
  7. Peking Univ., Beijing (China). Dept. of Astronomy
  8. Univ. of Chinese Academy of Sciences, Beijing (China). School of Physical Sciences; Chinese Academy of Sciences (CAS), Beijing (China). Inst. of High Energy Physics
+ Show Author Affiliations

Measurements of neutrino mass in cosmological observations rely on two-point statistics that are hindered by significant degeneracies with the optical depth and galaxy bias. The relative velocity effect between cold dark matter and neutrinos induces a large scale dipole in the matter density field and may be able to provide orthogonal constraints to standard techniques. In this paper, we numerically investigate this dipole in the TianNu simulation, which contains cold dark matter and 50 meV neutrinos. We first compute the dipole using a new linear response technique where we treat the displacement caused by the relative velocity as a phase in Fourier space and then integrate the matter power spectrum over redshift. Then, we compute the dipole numerically in real space using the simulation density and velocity fields. We find excellent agreement between the linear response and N-body methods. Finally, utilizing the dipole as an observational tool requires two tracers of the matter distribution that are differently biased with respect to the neutrino density.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Toronto, ON (Canada); Beijing Normal Univ. (China)
Sponsoring Organization:
USDOE; National Science Foundation of China (NSFC); Ministry of Science and Technology (China); China Postdoctoral Science Foundation; Chinese Academy of Sciences (CAS) (China); Canada Foundation for Innovation; Government of Ontario (Canada); Natural Sciences and Engineering Research Council of Canada (NSERC)
Contributing Organization:
Sun Yat-Sen Univ., Guangzhou (China); Peking Univ., Beijing (China); Univ. of Chinese Academy of Sciences, Beijing (China); Chinese Academy of Sciences (CAS), Beijing (China); Dezhou Univ. (China); Canadian Inst. for Advanced Research (CIFAR), Toronto, ON (Canada); Perimeter Inst. for Theoretical Physics, Waterloo, ON (Canada)
Grant/Contract Number:
AC02-06CH11357; 11573006; 11528306; 11135009; 2012CB821804; 2015M570884; 2016T90009; 2012AA121701; QYZDJ-SSW-SLH017; 11373030
OSTI ID:
1372319
Alternate ID(s):
OSTI ID: 1352469
Journal Information:
Physical Review D, Vol. 95, Issue 8; ISSN 2470-0010
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

References (27)

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Cosmic neutrinos: A dispersive and nonlinear fluid journal March 2017
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DESI and other Dark Energy experiments in the era of neutrino mass measurements journal May 2014
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Planck 2015 results : X. Diffuse component separation: Foreground maps journal September 2016
Planck 2015 results : XVI. Isotropy and statistics of the CMB journal September 2016
Planck 2015 results : XXVI. The Second journal September 2016
Relative velocity of dark matter and baryonic fluids and the formation of the first structures text January 2010
The Cosmic Linear Anisotropy Solving System (CLASS) II: Approximation schemes text January 2011
An efficient implementation of massive neutrinos in non-linear structure formation simulations text January 2012
DESI and other dark energy experiments in the era of neutrino mass measurements text January 2013
Planck 2015 results. XIII. Cosmological parameters text January 2015
Stable clustering, the halo model and nonlinear cosmological power spectra text January 2002

Cited By (11)

DEMNUni: massive neutrinos and the bispectrum of large scale structures journal March 2018
MassiveNuS: cosmological massive neutrino simulations journal March 2018
First principles-based applications of the Vlasov equation to dissipative systems journal May 2019
An efficient and accurate hybrid method for simulating non-linear neutrino structure journal August 2018
Parity-odd neutrino torque detection journal June 2019
Status of Neutrino Properties and Future Prospects—Cosmological and Astrophysical Constraints journal February 2018
The Effect of Massive Neutrinos on the Position of Cold Dark Matter Halo: Revealed via the Delaunay Triangulation Void journal July 2018
Effect of Massive Neutrinos on the Position of Cold Dark Matter Halo: Revealed via Delaunay Triangulation Void text January 2017
DEMNUni: Massive neutrinos and the bispectrum of large scale structures text January 2017
An Efficient and Accurate Hybrid Method for Simulating Non-Linear Neutrino Structure text January 2018
Parity-odd Neutrino Torque Detection text January 2018

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Related Subjects

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
large scale structure of the universe
neutrinos
mass
astrophysical and cosmological simulations
particles and fields