arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2209.03094astro-ph.CO
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TDCOSMO X. 9个强透镜类星体的自动建模及透镜建模软件的比较

TDCOSMO X. Automated Modeling of 9 Strongly Lensed Quasars and Comparison Between Lens Modeling Software

S. Ertl, S. Schuldt, S. H. Suyu, T. Schmidt, T. Treu, S. Birrer, A. J. Shajib, D. Sluse

摘要:

为了使用强引力透镜作为天体物理学或宇宙学探测器,通常需要它们的质量分布模型。我们提出了一个新的,时间效率高的自动化代码统一建模的强透镜类星体与GLEE,透镜建模软件,高分辨率的多波段数据。利用观测到的透镜类星体的位置和透镜类星体宿主星系表面亮度的空间扩展分布,我们得到了透镜星系质量分布的模型。我们应用这个统一的建模管道的样本9强透镜类星体HST WFC 3图像。在大多数情况下,模型显示出良好的重建轻组件和质量和轻质心之间的良好对齐。我们发现,自动化建模代码显着减少了用户在建模过程中的输入时间。所需输入文件的准备时间大大缩短。这种自动建模流水线可以有效地产生广泛的透镜系统样本的统一模型,可用于进一步的宇宙学分析。通过与基于建模软件Lenstronomy的独立自动建模管道的结果进行比较的盲测揭示了重要的教训。诸如爱因斯坦半径、天体测量、质量扁率和位置角等参数通常是鲁棒确定的。其他量主要取决于数据的质量和PSF重建的精度。更好的数据和/或更详细的分析将是必要的,以提升我们的自动化模型到宇宙学级。尽管如此,我们的管道可以快速选择镜头进行后续监测和进一步建模,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,以利用未来十年预计镜头数量的数量级增长。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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