论文标题
TDCOSMO X. 9强镜头的自动建模和镜头建模软件之间的比较
TDCOSMO X. Automated Modeling of 9 Strongly Lensed Quasars and Comparison Between Lens Modeling Software
论文作者
论文摘要
要将强力透镜作为天体物理或宇宙学探针,通常需要进行大规模分布的模型。我们提出了一种新的,耗时的自动化代码,用于使用GLEE(一种镜头建模软件)对高分辨率多波段数据的GLEE进行均匀建模。通过使用镜头类星体的观察到位置以及镜头类星体宿主星系的空间扩展的表面亮度分布,我们获得了透镜星系质量分布的模型。我们将此均匀的建模管道应用于带有HST WFC 3图像的9个强透明的类星体样品。这些模型在大多数情况下显示出良好的重建光组件以及质量和质心之间的良好对齐。我们发现,自动建模代码可大大减少在建模过程中的用户输入时间。所需输入文件的准备时间大大减少。这种自动建模管道可以有效地生成均匀的广泛晶状体系统样品模型,这些模型可用于进一步的宇宙学分析。通过与基于建模软件镜头的独立自动建模管道的结果进行比较,通过比较盲目测试,揭示了重要的课程。诸如爱因斯坦半径,天体统计,质量平坦和位置角等数量通常是牢固确定的。其他数量至关重要的取决于数据的质量和PSF重建的准确性。为了将自动化模型提升为宇宙学等级,需要更好的数据和/或更详细的分析。然而,我们的管道可以快速选择透镜进行后续监测和进一步的建模,从而大大加快了宇宙学级模型的构建。这是向前迈出的重要一步,以利用未来十年预期的镜头数量的数量级增加。
To use strong gravitational lenses as an astrophysical or cosmological probe, models of their mass distributions are often needed. We present a new, time-efficient automation code for uniform modeling of strongly lensed quasars with GLEE, a lens modeling software, for high-resolution multi-band data. By using the observed positions of the lensed quasars and the spatially extended surface brightness distribution of the lensed quasar host galaxy, we obtain a model of the mass distribution of the lens galaxy. We apply this uniform modeling pipeline to a sample of nine strongly lensed quasars with HST WFC 3 images. The models show in most cases well reconstructed light components and a good alignment between mass and light centroids. We find that the automated modeling code significantly reduces the user input time during the modeling process. The preparation time of required input files is reduced significantly. This automated modeling pipeline can efficiently produce uniform models of extensive lens system samples which can be used for further cosmological analysis. A blind test through a comparison with the results of an independent automated modeling pipeline based on the modeling software Lenstronomy reveals important lessons. Quantities such as Einstein radius, astrometry, mass flattening and position angle are generally robustly determined. Other quantities depend crucially on the quality of the data and the accuracy of the PSF reconstruction. Better data and/or more detailed analysis will be necessary to elevate our automated models to cosmography grade. Nevertheless, our pipeline enables the quick selection of lenses for follow-up monitoring and further modeling, significantly speeding up the construction of cosmography-grade models. This is an important step forward to take advantage of the orders of magnitude increase in the number of lenses expected in the coming decade.