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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. 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, and Xing, Zhi-Zhong. Thu . "Simulating the cold dark matter-neutrino dipole with TianNu". United States. doi: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},
journal = {Physical Review D},
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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