NAOC Open IR  > 星系宇宙学研究部
Simulating the cold dark matter-neutrino dipole with TianNu
Inman, Derek1,2; Yu, Hao-Ran1,3; Zhu, Hong-Ming4,5; Emberson, J. D.6; Pen, Ue-Li1,7,8,9; Zhang, Tong-Jie4,10,11; Yuan, Shuo12; Chen, Xuelei5; Xing, Zhi-Zhong13,14
2017-04-20
发表期刊PHYSICAL REVIEW D
卷号95期号:8
摘要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. 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. Utilizing the dipole as an observational tool requires two tracers of the matter distribution that are differently biased with respect to the neutrino density.
文章类型Article
WOS标题词Science & Technology ; Physical Sciences
资助者National Science Foundation of China(11573006 ; National Science Foundation of China(11573006 ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Canada Foundation for Innovation under the Compute Canada ; Canada Foundation for Innovation under the Compute Canada ; Government of Ontario ; Government of Ontario ; Ontario Research Fund-Research Excellence ; Ontario Research Fund-Research Excellence ; University of Toronto ; University of Toronto ; NSERC ; NSERC ; General Financial Grant(2015M570884) ; General Financial Grant(2015M570884) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; MoST 863(2012AA121701) ; MoST 863(2012AA121701) ; CAS Grant(QYZDJ-SSW-SLH017) ; CAS Grant(QYZDJ-SSW-SLH017) ; NSFC Grant(11373030) ; NSFC Grant(11373030) ; U.S. Department of Energy(DE-AC02-06CH11357) ; U.S. Department of Energy(DE-AC02-06CH11357) ; 11528306 ; 11528306 ; 11135009) ; 11135009) ; National Science Foundation of China(11573006 ; National Science Foundation of China(11573006 ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Canada Foundation for Innovation under the Compute Canada ; Canada Foundation for Innovation under the Compute Canada ; Government of Ontario ; Government of Ontario ; Ontario Research Fund-Research Excellence ; Ontario Research Fund-Research Excellence ; University of Toronto ; University of Toronto ; NSERC ; NSERC ; General Financial Grant(2015M570884) ; General Financial Grant(2015M570884) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; MoST 863(2012AA121701) ; MoST 863(2012AA121701) ; CAS Grant(QYZDJ-SSW-SLH017) ; CAS Grant(QYZDJ-SSW-SLH017) ; NSFC Grant(11373030) ; NSFC Grant(11373030) ; U.S. Department of Energy(DE-AC02-06CH11357) ; U.S. Department of Energy(DE-AC02-06CH11357) ; 11528306 ; 11528306 ; 11135009) ; 11135009)
DOI10.1103/PhysRevD.95.083518
关键词[WOS]PARAMETERS
收录类别SCI
语种英语
资助者National Science Foundation of China(11573006 ; National Science Foundation of China(11573006 ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Canada Foundation for Innovation under the Compute Canada ; Canada Foundation for Innovation under the Compute Canada ; Government of Ontario ; Government of Ontario ; Ontario Research Fund-Research Excellence ; Ontario Research Fund-Research Excellence ; University of Toronto ; University of Toronto ; NSERC ; NSERC ; General Financial Grant(2015M570884) ; General Financial Grant(2015M570884) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; MoST 863(2012AA121701) ; MoST 863(2012AA121701) ; CAS Grant(QYZDJ-SSW-SLH017) ; CAS Grant(QYZDJ-SSW-SLH017) ; NSFC Grant(11373030) ; NSFC Grant(11373030) ; U.S. Department of Energy(DE-AC02-06CH11357) ; U.S. Department of Energy(DE-AC02-06CH11357) ; 11528306 ; 11528306 ; 11135009) ; 11135009) ; National Science Foundation of China(11573006 ; National Science Foundation of China(11573006 ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Ministry of Science and Technology National Basic Science program (project 973)(2012CB821804) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Canada Foundation for Innovation under the Compute Canada ; Canada Foundation for Innovation under the Compute Canada ; Government of Ontario ; Government of Ontario ; Ontario Research Fund-Research Excellence ; Ontario Research Fund-Research Excellence ; University of Toronto ; University of Toronto ; NSERC ; NSERC ; General Financial Grant(2015M570884) ; General Financial Grant(2015M570884) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; Special Financial Grant from the China Postdoctoal Science Foundation(2016T90009) ; MoST 863(2012AA121701) ; MoST 863(2012AA121701) ; CAS Grant(QYZDJ-SSW-SLH017) ; CAS Grant(QYZDJ-SSW-SLH017) ; NSFC Grant(11373030) ; NSFC Grant(11373030) ; U.S. Department of Energy(DE-AC02-06CH11357) ; U.S. Department of Energy(DE-AC02-06CH11357) ; 11528306 ; 11528306 ; 11135009) ; 11135009)
WOS研究方向Astronomy & Astrophysics ; Physics
WOS类目Astronomy & Astrophysics ; Physics, Particles & Fields
WOS记录号WOS:000399807000002
引用统计
文献类型期刊论文
条目标识符http://ir.bao.ac.cn/handle/114a11/8855
专题星系宇宙学研究部
作者单位1.Univ Toronto, Canadian Inst Theoret Astrophys, Toronto, ON M5S 3H8, Canada
2.Univ Toronto, Dept Phys, Toronto, ON M5S 1A7, Canada
3.Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China
4.Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
5.Chinese Acad Sci, Key Lab Computat Astrophys, Natl Astron Observ, Beijing 100012, Peoples R China
6.Argonne Natl Lab, ALCF Div, Lemont, IL 60439 USA
7.Univ Toronto, Dunlap Inst Astron & Astrophys, Toronto, ON M5S 3H4, Canada
8.Canadian Inst Adv Res, CIFAR Program Gravitat & Cosmol, Toronto, ON M5G 1Z8, Canada
9.Perimeter Inst Theoret Phys, Waterloo, ON N2L 2Y5, Canada
10.Dezhou Univ, Shandong Prov Key Lab Biophys, Sch Phys & Elect Informat, Sch Informat Management, Dezhou 253023, Peoples R China
11.Sun Yat Sen Univ, Natl Supercomp Ctr Guangzhou, Guangzhou 510275, Guangdong, Peoples R China
12.Peking Univ, Dept Astron, Beijing 100871, Peoples R China
13.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China
14.Chinese Acad Sci, Inst High Energy Phys, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Inman, Derek,Yu, Hao-Ran,Zhu, Hong-Ming,et al. Simulating the cold dark matter-neutrino dipole with TianNu[J]. PHYSICAL REVIEW D,2017,95(8).
APA Inman, Derek.,Yu, Hao-Ran.,Zhu, Hong-Ming.,Emberson, J. D..,Pen, Ue-Li.,...&Xing, Zhi-Zhong.(2017).Simulating the cold dark matter-neutrino dipole with TianNu.PHYSICAL REVIEW D,95(8).
MLA Inman, Derek,et al."Simulating the cold dark matter-neutrino dipole with TianNu".PHYSICAL REVIEW D 95.8(2017).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Inman, Derek]的文章
[Yu, Hao-Ran]的文章
[Zhu, Hong-Ming]的文章
百度学术
百度学术中相似的文章
[Inman, Derek]的文章
[Yu, Hao-Ran]的文章
[Zhu, Hong-Ming]的文章
必应学术
必应学术中相似的文章
[Inman, Derek]的文章
[Yu, Hao-Ran]的文章
[Zhu, Hong-Ming]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。