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arXiv 2302.08087astro-ph.GAastro-ph.COastro-ph.IM
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利用 Local Geometric Index(局部几何指数)分析宏象旋涡星系与絮状旋涡星系附近的宇宙结构

Analyzing the cosmic architecture in the vicinity of Grand-design and Flocculent spiral galaxies with Local Geometric Index

Suman Sarkar, Ganesh Narayanan, Arunima Banerjee

AI总结:

本文提出 Local Geometric Index 分类892个旋涡星系的局域宇宙结构,发现宏象星系多位于致密潮汐环境,絮状星系多位于贫金属且富气体的稀疏环境。

摘要:

我们研究了351个宏象旋涡星系和541个絮状旋涡星系的环境;这些星系近期利用卷积神经网络从 Sloan Digital Sky Survey(斯隆数字巡天)第17次数据发布中识别得到。我们引入一种名为 Local Geometric Index(局部几何指数)的新型估计量,以量化这892个旋涡星系局域环境的形态。根据星系的局部几何指数,我们将其局域环境识别为空洞、片状结构、纤维状结构或星系团。我们发现,宏象旋涡星系大多位于星系团和纤维状结构等致密环境中(约76%),而相当比例的絮状旋涡星系位于空洞和片状结构等稀疏环境中(约45%)。Kolmogorov-Smirnov 检验给出的 p 值小于10^-10,表明我们的结果在99.9%置信水平上具有统计显著性。此外,我们注意到,具有强大潮汐流的致密环境由宏象旋涡星系主导;另一方面,在片状结构和空洞等气体云丰度较高的贫金属环境中,主要分布的是絮状旋涡星系。

英文摘要:

We explore the environment of 351 grand-design and 541 flocculent spiral galaxies recently identified employing convolutional neural networks from the $17^{th}$ data release of Sloan Digital Sky Survey. We introduce a novel estimator called the Local Geometric Index to quantify the morphology of the local environment of these 892 spirals. Based on the local geometric index of the galaxies, we identify their local environments to be voids, sheets, filaments or clusters. We find that grand-designs are mostly located in dense environments like clusters and filaments ($\sim 76\%$), whereas a reasonable fraction of the flocculents lie in sparse environments like voids and sheets ($\sim 45\%$). A $p$-value $<$ $10 ^{-10}$ from a Kolmogorov-Smirnov test indicates that our results are statistically significant at $99.9\%$ confidence level. Further, we note that dense environments with large tidal flows are dominated by the grand-designs. Metal-poor environments, such as sheets and voids, with a high abundance of gas clouds, on the other hand, are mostly populated by the flocculents.

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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