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arXiv 2104.05080astro-ph.GAastro-ph.CO
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杆件对螺旋半导体性能影响的多元统计研究

Investigation of the Effect of Bars on the Properties of Spiral Galaxies: A Multivariate Statistical Study

Prasenjit Banerjee, Tanuka Chattopadhyay, Asis Kumar Chattopadhyay

摘要:

旋涡星系的主观分类不足以研究棒对它们物理特性的影响。实际上,问题是要理解多元参数空间中的复杂相关性。多变量工具是理解这种复杂相关性的最佳工具。在这项工作中,一个大的螺旋星系集(26,089)的客观分类汇编作为一个增值星系目录从sdss DR 15虚拟数据档案。最初对于降维,执行独立分量分析以确定一组独立分量,所述独立分量是48个观察到的特征(即电离线、舔指数、光度和形态学特性)的线性组合。最后,在这14个最佳独立分量的基础上进行了K-均值聚类分析,得到了12个不同的同质旋涡星系群。其中,3组是最古老的(1.6 Gyr - 5.9 Gyr),5组属于中等年龄类别(1.4 Gyr - 1.6 Gyr),2组仅由无棒螺旋组成,1组是最年轻的,剩下的一组是异常值。在许多群体中,有明确的迹象表明经常性的酒吧形成的现象,这是与以前的一些模拟工作。为了研究的鲁棒性的第二种方法的聚类高斯混合建模方法(GMMBC)的应用。

英文摘要:

Subjective classification of spiral galaxies is not sufficient for studying the effect of bars on their physical characteristics. In reality the problem is to comprehend the complex correlations in a multivariate parametric space. Multivariate tools are the best ones for understanding this complex correlation. In this work an objective classification of a large set (26,089) of spiral galaxies was compiled as a value added galaxy catalogue from sdss DR 15 virtual data archive. Initially for dimensionality reduction, Independent Component Analysis is performed to determine a set of Independent Components that are linear combinations of 48 observed features (namely ionised lines, Lick indices, photometric and morphological properties). Subsequently a K-means cluster analysis is carried out on the basis of the 14 best chosen Independent Components to obtain 12 distinct homogeneous groups of spiral galaxies. Amongst these, 3 groups are the oldest ones (1.6 Gyr - 5.9 Gyr), while 5 groups fall in the medium aged category (1.4 Gyr - 1.6 Gyr), 2 groups consist of only unbarred spirals, 1 group is the youngest one and the remaining one is an outlier. In many groups there are clear indication of recurrent bar formation phenomena which is consistent with few previous simulation works. In order to study the robustness a second method of clustering by Gaussian Mixture Modeling Method (GMMBC) is applied.

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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