Non-universality of halo profiles and implications for dark matter experiments

被引:25
|
作者
Reed, Darren S. [1 ]
Koushiappas, Savvas M. [2 ]
Gao, Liang [3 ,4 ]
机构
[1] Univ Zurich, Inst Theoret Phys, CH-8057 Zurich, Switzerland
[2] Brown Univ, Dept Phys, Providence, RI 02912 USA
[3] Chinese Acad Sci, Natl Astron Observationaries, Beijing 100012, Peoples R China
[4] Univ Durham, Dept Phys, Inst Computat Cosmol, Durham DH1 3LE, England
关键词
galaxies: haloes; cosmology: theory; dark matter; DENSITY PROFILE; INNER STRUCTURE; MASS; EVOLUTION; GALAXY; SIMULATION; DEPENDENCE; SCATTER; SHAPE; SPIN;
D O I
10.1111/j.1365-2966.2011.18930.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We explore the cosmological halo-to-halo scatter of the distribution of mass within dark matter haloes utilizing a well-resolved statistical sample of clusters from the cosmological Millennium Simulation. We find that at any radius, the spherically averaged dark matter density of a halo (corresponding to the 'smooth component') and its logarithmic slope are well described by a Gaussian probability distribution. At small radii (within the scale radius), the density distribution is fully determined by the measured Gaussian distribution in halo concentrations. The variance in the radial distribution of mass in dark matter haloes is important for the interpretation of direct and indirect dark matter detection efforts. The scatter in mass profiles imparts approximately a 25 per cent cosmological uncertainty in the dark matter density at the Solar neighbourhood and a factor of similar to 3 uncertainty in the expected Galactic dark matter annihilation flux. The aggregate effect of halo-to-halo profile scatter leads to a small (few per cent) enhancement in dark matter annihilation background if the Gaussian concentration distribution holds for all halo masses versus a 10 per cent enhancement under the assumption of a lognormal concentration distribution. The Gaussian nature of the cluster profile scatter implies that the technique of 'stacking' haloes to improve signal-to-noise ratio should not suffer from bias.
引用
收藏
页码:3177 / 3188
页数:12
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