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arXiv 2301.08765astro-ph.GAastro-ph.CO
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基于自洽强引力透镜数据、利用MARS对哈勃前沿场星系团进行不依赖模型的质量重建

Model-Independent Mass Reconstruction of the Hubble Frontier Field Clusters with MARS Based on Self-Consistent Strong Lensing Data

Sangjun Cha, M. James Jee

AI总结:

本研究利用新型自由形式反演算法MARS,基于自洽强引力透镜数据对6个哈勃前沿场星系团完成不依赖模型的质量重建,精度较此前提升5-10倍,验证了该算法的灵活性与准确性,为JWST时代的相关研究提供有力工具。

摘要:

我们利用最大熵重建(${\ t MARS}$)算法,对6个哈勃前沿场(HFF)星系团开展了全新的强引力透镜(SL)质量重建研究。${\ t MARS}$是一种新型自由形式反演方法,可抑制虚假的小尺度涨落,同时在多重像的位置拟合上实现极佳的收敛性。针对每个HFF星系团,我们通过汇总文献中自洽的SL数据,得到了不依赖模型的质量分布。每个星系团对应100-200个多重像,我们重建得到的解在源平面(约0".02)和像平面(约0".05-0".''1)的多重像散射都很小,比此前的结果低5-10倍。MACS J0416.1-2403的质量重建是一个突出案例,它基于规模最大的高质量SL数据集,其中全部236个多重像/节点都具有光谱红移。尽管我们的解在大尺度上是平滑的,但在数据要求存在子结构的位置,仍能显现出星系群/星系尺度的质量峰。我们发现,尽管${\ t MARS}$从未将星系分布作为先验信息,这些质量峰总体上与成员星系在空间上具有极佳的一致性。本研究证实了${\ t MARS}$算法的灵活性与准确性,并表明在JWST时代,当可用于SL质量重建的多重像候选体数量达到现有水平的2-3倍、数据集内部的自洽性成为关键问题时,${\ t MARS}$是一种强有力的工具。

英文摘要:

We present new strong-lensing (SL) mass reconstruction of the six Hubble Frontier Fields (HFF) clusters with the MAximum-entropy ReconStruction (${\tt MARS}$) algorithm. ${\tt MARS}$ is a new free-form inversion method, which suppresses spurious small-scale fluctuations while achieving excellent convergence in positions of multiple images. For each HFF cluster, we obtain a model-independent mass distribution from the compilation of the self-consistent SL data in the literature. With $100-200$ multiple images per cluster, we reconstruct solutions with small scatters of multiple images in both source (~0".02) and image planes (~0."05-0.''1), which are lower than the previous results by a factor of 5-10. An outstanding case is the MACS J0416.1-2403 mass reconstruction, which is based on the largest high-quality SL dataset where all 236 multiple images/knots have spectroscopic redshifts. Although our solution is smooth on a large scale, it reveals group/galaxy-scale peaks where the substructures are required by the data. We find that in general, these mass peaks are in excellent spatial agreement with the member galaxies, although ${\tt MARS}$ never uses the galaxy distributions as priors. Our study corroborates the flexibility and accuracy of the ${\tt MARS}$ algorithm and demonstrates that ${\tt MARS}$ is a powerful tool in the JWST era, when $2-3$ times larger number of multiple image candidates become available for SL mass reconstruction, and self-consistency within the dataset becomes a critical issue.

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