Constraints on the identity of the dark matter from strong gravitational lenses

被引:65
作者
Li, Ran [1 ]
Frenk, Carlos S. [2 ]
Cole, Shaun [2 ]
Gao, Liang [1 ]
Bose, Sownak [2 ]
Hellwing, Wojciech A. [3 ,4 ]
机构
[1] Chinese Acad Sci, Natl Astron Observ, Max Planck Inst Astrophys, Key Lab Computat Astrophys,Partner Grp, Beijing 100012, Peoples R China
[2] Univ Durham, Dept Phys, Inst Computat Cosmol, South Rd, Durham DH1 3LE, England
[3] Univ Portsmouth, Inst Cosmol & Gravitat, Burnaby Rd, Portsmouth PO1 3FX, Hants, England
[4] Univ Warsaw, Interdisciplinary Ctr Math & Computat Modelling I, Ul Pawinskiego 5a, Warsaw, Poland
基金
英国科学技术设施理事会; 欧洲研究理事会;
关键词
gravitational lensing: strong; methods: statistical; galaxies: haloes; dark matter; EARLY-TYPE GALAXIES; MASS FUNCTION; COPERNICUS COMPLEXIO; DENSITY PROFILE; STELLAR MASS; ACS SURVEY; HALO MASS; SUBSTRUCTURE; STATISTICS; EVOLUTION;
D O I
10.1093/mnras/stw939
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The cold dark matter (CDM) cosmological model unambiguously predicts that a large number of haloes should survive as subhaloes when they are accreted into a larger halo. The CDM model would be ruled out if such substructures were shown not to exist. By contrast, if the dark matter consists of Warm Dark Matter (WDM) particles, then below a threshold mass that depends on the particle mass far fewer substructures would be present. Finding subhaloes below a certain mass would then rule out warm particle masses below some value. Strong gravitational lensing provides a clean method to measure the subhalo mass function through distortions in the structure of Einstein rings and giant arcs. Using mock lensing observations constructed from high-resolution N-body simulations, we show that measurements of approximately 100 strong lens systems with a detection limit of M-low = 10(7) h(-1) M-aS (TM) would clearly distinguish CDM from WDM in the case where this consists of 7 keV sterile neutrinos such as those that might be responsible for the 3.5 keV X-ray emission line recently detected in galaxies and clusters.
引用
收藏
页码:363 / 372
页数:10
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