Strong gravitational lensing time delay statistics and the density profile of dark halos

被引:55
|
作者
Oguri, M [1 ]
Taruya, A
Suto, Y
Turner, EL
机构
[1] Univ Tokyo, Sch Sci, Dept Phys, Tokyo 1130033, Japan
[2] Univ Tokyo, Sch Sci, Res Ctr Early Universe RESCEU, Tokyo 1130033, Japan
[3] Princeton Univ Observ, Princeton, NJ 08544 USA
关键词
cosmology : theory; dark matter; galaxies : clusters : general; galaxies : halos; gravitational lensing;
D O I
10.1086/339064
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The distribution of differential time delays Deltat between images produced by strong gravitational lensing contains information on the mass distributions in the lensing objects as well as on cosmological parameters such as H-0. We derive an explicit expression for the conditional probability distribution function of time delays P(Deltat \ theta), given an image separation between multiple images theta and related statistics. We consider lensing halos described by the singular isothermal sphere (SIS) approximation and by its generalization as proposed by Navarro, Frenk, & White (NFW), which has a density profile rho proportional to r(-alpha) in the innermost region. The time delay distribution is very sensitive to these pro files; steeper inner slopes tend to produce larger time delays. For example, if H-0 = 70 km s(-1) Mpc(-1), a Lambda-dominated cosmology and a source redshift z(S) = 1.27 are assumed, lenses with theta = 5" produce a time delay of Deltat = 1.5(-0.9)(+1.7), 0.39(-0.22)(+0.37), 0.15(-0.09)(+0.11), and 0.071(-0.038)(+0.054) yr (50% confidence interval) for SIS, generalized NFW with alpha = 1.5, alpha = 1.0, and alpha = 0.5 respectively. At a fixed image separation, the time delay is determined by the difference in the lensing potential between the position of the two images, which typically occur at different impact parameters. Although the values of Deltat are proportional to the inverse of H-0, P(Deltat \ theta) is rather insensitive to all other cosmological model parameters, source redshifts, magnification biases, and so on. A knowledge of P(Deltat \ theta) will also be useful in designing the observing program of future large-scale synoptic variability surveys and for evaluating possible selection biases operating against large splitting lens systems.
引用
收藏
页码:488 / 499
页数:12
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