SHARP – VIII. J0924+0219 lens mass distribution and time-delay prediction through adaptive-optics imaging

SHARP – VIII. J0924+0219 lens mass distribution and time-delay prediction through adaptive-optics imaging
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夏普 – VIII.

DOI:
10.1093/mnras/stac1081
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发表时间:
2022
影响因子:
4.8
通讯作者:
Treu, Tommaso
Treu, Tommaso
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Chen, Geoff C-F;Fassnacht, Christopher D.;Suyu, Sherry H.;Koopmans, Léon V. E.;Lagattuta, David J.;McKean, John P.;Auger, Matt W.;Vegetti, Simona;Treu, Tommaso

文献摘要

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强透镜类星体可以独立于任何其他方法提供哈勃常数 (H0) 的测量。关键要素之一是精致的高分辨率成像数据,例如哈勃太空望远镜(HST)成像和地面望远镜的自适应光学(AO)成像,它们对透镜星系的质量分布提供了强有力的约束。在这项工作中,我们扩展了之前对具有 AO 成像的三个延时镜头(RX J1131−1231、HE 0435−1223 和 PG 1115+080)的分析,并使用凯克望远镜的 AO 成像对 J0924+0219 进行了联合分析,该成像是高角分辨率强透镜计划 (SHARP) AO 工作的一部分,通过 HSTimaging 获得限制透镜星系的质量分布。在固定 Ωm= 0.3 的平坦 Λ 冷暗物质 (ΛCDM) 模型的假设下,我们表明,通过质量片变换对两种不同类型的质量模型(幂律模型和复合模型)及其变换后的质量分布进行边缘化,我们得到 $\Delta t_{\rm BA}=6.89\substack{+0.8\\-0.7}\, h^{-1}\hat{\sigma }_{v}^{2}$ d、$\Delta t_{\rm CA}=10.7\substack{+1.6\\-1.2}\、h^{-1}\hat{\sigma }_{v}^{2}$ d、$\Delta t_{\rm DA}=7.70\substack{+1.0\\-0.9}\, h^{-1}\hat{\sigma }_{v}^{2}$ d,其中 是无量纲哈勃常数, 是缩放的无量纲速度色散。未来对不确定性为 10% 的时间延迟和不确定性为 5% 的速度色散的测量将产生约 15% 精度的 H0 约束。
Strongly lensed quasars can provide measurements of the Hubble constant (H0) independent of any other methods. One of the key ingredients is exquisite high-resolution imaging data, such asHubble Space Telescope(HST) imaging and adaptive-optics (AO) imaging from ground-based telescopes, which provide strong constraints on the mass distribution of the lensing galaxy. In this work, we expand on the previous analysis of three time-delay lenses with AO imaging (RX J1131−1231, HE 0435−1223, and PG 1115+080), and perform a joint analysis of J0924+0219 by using AO imaging from the Keck telescope, obtained as part of the Strong lensing at High Angular Resolution Program (SHARP) AO effort, withHSTimaging to constrain the mass distribution of the lensing galaxy. Under the assumption of a flat Λ cold dark matter (ΛCDM) model with fixed Ωm= 0.3, we show that by marginalizing over two different kinds of mass models (power-law and composite models) and their transformed mass profiles via a mass-sheet transformation, we obtain $\Delta t_{\rm BA}=6.89\substack{+0.8\\-0.7}\, h^{-1}\hat{\sigma }_{v}^{2}$ d, $\Delta t_{\rm CA}=10.7\substack{+1.6\\-1.2}\, h^{-1}\hat{\sigma }_{v}^{2}$ d, and $\Delta t_{\rm DA}=7.70\substack{+1.0\\-0.9}\, h^{-1}\hat{\sigma }_{v}^{2}$ d, whereis the dimensionless Hubble constant andis the scaled dimensionless velocity dispersion. Future measurements of time delays with 10 per cent uncertainty and velocity dispersion with 5 per cent uncertainty would yield aH0constraint of ∼15 per cent precision.