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A Robust Mass Estimator for Dark Matter Subhalo Perturbations in Strong Gravitational Lenses
被引:24
作者:
Minor, Quinn E.
[1
,2
]
Kaplinghat, Manoj
[3
]
Li, Nan
[4
,5
]
机构:
[1] CUNY, Dept Sci, Borough Manhattan Community Coll, New York, NY 10007 USA
[2] Amer Museum Nat Hist, Dept Astrophys, New York, NY 10024 USA
[3] Univ Calif Irvine, Dept Phys & Astron, Irvine, CA 92697 USA
[4] Univ Chicago, Dept Astron & Astrophys, 5640 South Ellis Ave, Chicago, IL 60637 USA
[5] Argonne Natl Lab, Div High Energy Phys, Argonne, IL 60439 USA
基金:
美国国家科学基金会;
关键词:
dark matter;
galaxies: dwarf;
gravitational lensing: strong;
SEMILINEAR INVERSION;
GALACTIC SATELLITES;
RADIAL-DISTRIBUTION;
SUBSTRUCTURE;
GALAXIES;
HALOES;
ALMA;
MODELS;
J090311.6+003906;
RECONSTRUCTION;
D O I:
10.3847/1538-4357/aa7fee
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
A few dark matter substructures have recently been detected in strong gravitational lenses through their perturbations of highly magnified images. We derive a characteristic scale for lensing perturbations and show that they are significantly larger than the perturber's Einstein radius. We show that the perturber's projected mass enclosed within this radius, scaled by the log-slope of the host galaxy's density profile, can be robustly inferred even if the inferred density profile and tidal radius of the perturber are biased. We demonstrate the validity of our analytic derivation using several gravitational lens simulations where the tidal radii and the inner log-slopes of the density profile of the perturbing subhalo are allowed to vary. By modeling these simulated data, we find that our mass estimator, which we call the effective subhalo lensing mass, is accurate to within about 10% or smaller in each case, whereas the inferred total subhalo mass can potentially be biased by nearly an order of magnitude. We therefore recommend that the effective subhalo lensing mass be reported in future lensing reconstructions, as this will allow for a more accurate comparison with the results of dark matter simulations.
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页数:19
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