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

Abstract

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.

Authors:
 [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
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Toronto, ON (Canada); Beijing Normal Univ. (China)
Sponsoring Org.:
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 Org.:
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)
OSTI Identifier:
1372319
Alternate Identifier(s):
OSTI ID: 1352469
Grant/Contract Number:  
AC02-06CH11357; 11573006; 11528306; 11135009; 2012CB821804; 2015M570884; 2016T90009; 2012AA121701; QYZDJ-SSW-SLH017; 11373030
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 95; Journal Issue: 8; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; large scale structure of the universe; neutrinos; mass; astrophysical and cosmological simulations; particles and fields

Citation Formats

Inman, Derek, Yu, Hao-Ran, Zhu, Hong-Ming, Emberson, J. D., Pen, Ue-Li, Zhang, Tong-Jie, Yuan, Shuo, Chen, Xuelei, and Xing, Zhi-Zhong. Simulating the cold dark matter-neutrino dipole with TianNu. United States: N. p., 2017. Web. doi:10.1103/PhysRevD.95.083518.
Inman, Derek, Yu, Hao-Ran, Zhu, Hong-Ming, Emberson, J. D., Pen, Ue-Li, Zhang, Tong-Jie, Yuan, Shuo, Chen, Xuelei, & Xing, Zhi-Zhong. Simulating the cold dark matter-neutrino dipole with TianNu. United States. https://doi.org/10.1103/PhysRevD.95.083518
Inman, Derek, Yu, Hao-Ran, Zhu, Hong-Ming, Emberson, J. D., Pen, Ue-Li, Zhang, Tong-Jie, Yuan, Shuo, Chen, Xuelei, and Xing, Zhi-Zhong. 2017. "Simulating the cold dark matter-neutrino dipole with TianNu". United States. https://doi.org/10.1103/PhysRevD.95.083518. https://www.osti.gov/servlets/purl/1372319.
@article{osti_1372319,
title = {Simulating the cold dark matter-neutrino dipole with TianNu},
author = {Inman, Derek and Yu, Hao-Ran and Zhu, Hong-Ming and Emberson, J. D. and Pen, Ue-Li and Zhang, Tong-Jie and Yuan, Shuo and Chen, Xuelei and Xing, Zhi-Zhong},
abstractNote = {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.},
doi = {10.1103/PhysRevD.95.083518},
url = {https://www.osti.gov/biblio/1372319}, journal = {Physical Review D},
issn = {2470-0010},
number = 8,
volume = 95,
place = {United States},
year = {Thu Apr 20 00:00:00 EDT 2017},
month = {Thu Apr 20 00:00:00 EDT 2017}
}

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Cited by: 15 works
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Works referenced in this record:

An efficient implementation of massive neutrinos in non-linear structure formation simulations
journal, November 2012


Cosmic neutrinos: A dispersive and nonlinear fluid
journal, March 2017


Measurement of Neutrino Masses from Relative Velocities
journal, September 2014


DESI and other Dark Energy experiments in the era of neutrino mass measurements
journal, May 2014


Precision reconstruction of the cold dark matter-neutrino relative velocity from N -body simulations
journal, July 2015


The Cosmic Linear Anisotropy Solving System (CLASS). Part II: Approximation schemes
journal, July 2011


Neutrino masses and cosmology with Lyman-alpha forest power spectrum
journal, November 2015


Planck 2015 results : XIII. Cosmological parameters
journal, September 2016


High-performance P3M N-body code: CUBEP3M
journal, September 2013


Gravitational clustering of relic neutrinos and implications for their detection
journal, December 2004


Stable clustering, the halo model and non-linear cosmological power spectra
journal, June 2003


Relative velocity of dark matter and baryonic fluids and the formation of the first structures
journal, October 2010


Massive neutrinos in cosmology: Analytic solutions and fluid approximation
journal, June 2010


Fast n-point correlation functions and three-point lensing application
journal, July 2005


SciNet: Lessons Learned from Building a Power-efficient Top-20 System and Data Centre
journal, November 2010


Neutrino masses and mixings: Status of known and unknown 3 ν parameters
journal, July 2016


Probing Neutrino Hierarchy and Chirality via Wakes
journal, April 2016


Planck 2015 results : XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation
journal, September 2016


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


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


Works referencing / citing this record:

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


DEMNUni: Massive neutrinos and the bispectrum of large scale structures
text, January 2017


Parity-odd Neutrino Torque Detection
text, January 2018