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基于网格聚类分析LAMOST恒星光谱与理论模型的差异

Difference Analysis of LAMOST Stellar Spectrum and Kurucz Model Based on Grid Clustering

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摘要

随着天文大数据时代计算科学的蓬勃发展, 我国具备自主知识产权的国际天文界口径最大、 光谱获取率最高的大视场望远镜LAMOST, 已率先在国际上开拓并实现了同时观测几千个天体光谱的大规模巡天工作。 自2011年巡天至2015年6月所获得的DR3光谱数据集目前已获取世界上最大的恒星参数星表。 针对LAMOST第三期发布FGK恒星光谱的流量定标等相关数据, 利用Kurucz模板光谱对应的参数空间划分网格, 基于开源高效的数据处理R语言程序软件平台, 设计了有监督的聚类中心, 便于验证其理论参数网格的差异。 处理LAMOST实测光谱经归一化后, 选择距离量直接描述属性, 采用欧氏距离分析判别光谱之间的相似度, 选取相应的属性向量构造函数判断观测光谱和理论光谱差别的量级。 实验表明: 比对LAMOST实测FGK型恒星光谱数据与Kurucz理论模板库数据一致性以及参数测量的准确性, 结果显示相同参数的光谱间特征谱线具有较好的一致性, 从而得出LAMOST光谱测量物理参数质量较高, 具备极好的可靠性, 为后续恒星大气模型的改进提供相应的论证依据。

Abstract

With the vigorous development of the big data astronomical calculation science, our country has obtained independent intellectual property rights of the international astronomical community.LAMOST telescope has taken the lead in the world in terms of development and implementation of combining the observation with mass survey work of thousands of celestial spectra. With the largest caliber and spectrum which has the highest rate of wide field. Druing the period between 2011 and June 2015, DR3 survey spectra obtained data set to acquire the biggest in the world currently parameters star catalog. In allusion to LAMOST the third of FGK stellar spectra data released the flow-calibration, etc. Kurucz template spectrum was used to partition the mesh, based on open source efficient R language programming supervised data processing software platform , in order that clustering center is easy to verify the theoretical parameters of the grid difference. After normalized processing of LAMOST measured spectrum, on the theoretical parameters grid with the supervised clustering validation, Euclidean distance discriminant algorithm was adopted to distinguish the similarity between the spectra. Choosing distance quantity directly described the attributes, properties of vector constructor judged the observed difference spectroscopy and the theoretical levels were selected. Experiments show that the measured spectrum of LAMOST in FGK type stellar spectra data comparisons with Kurucz theoretical template library data, which has a better consistency and accuracy in parameter measurement with the same parameters between the spectral characteristic lines. Thus, it is concluded that the spectrum measurement physical parameters of LAMOST is higher than the observation quality with excellent reliability, which provides the basis argument for improving the following stellar atmosphere models.

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中图分类号:TP3914

DOI:103964/jissn1000-0593(2017)06-1951-04

基金项目:国家自然科学基金项(U1631239), 黑龙江省自然科学基金项目(F2015024), 黑龙江省教育厅科研项目(135109219)资)

收稿日期:2016-06-13

修改稿日期:2016-10-26

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陈淑鑫:哈尔滨工程大学理学院, 纤维集成光学教育部重点实验室, 黑龙江 哈尔滨 150006齐齐哈尔大学, 黑龙江 齐齐哈尔 161006
孙伟民:哈尔滨工程大学理学院, 纤维集成光学教育部重点实验室, 黑龙江 哈尔滨 150006
孔 啸:中国科学院光学天文重点实验室(国家天文台), 北京 100012

联系人作者:陈淑鑫(shuxinfriend@126.com)

备注:陈淑鑫, 女, 1978年生, 齐齐哈尔大学副教授, 哈尔滨工程大学理学院博士研究生

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引用该论文

CHEN Shu-xin,SUN Wei-min,KONG Xiao. Difference Analysis of LAMOST Stellar Spectrum and Kurucz Model Based on Grid Clustering[J]. Spectroscopy and Spectral Analysis, 2017, 37(6): 1951-1954

陈淑鑫,孙伟民,孔 啸. 基于网格聚类分析LAMOST恒星光谱与理论模型的差异[J]. 光谱学与光谱分析, 2017, 37(6): 1951-1954

被引情况

【1】陈淑鑫,孙伟民,孔 啸. LAMOST恒星分类模板间相似性度量分析. 光谱学与光谱分析, 2018, 38(6): 1922-1925

【2】陈淑鑫,孙伟民,宋轶晗. 马氏距离度量LAMOST早型星光谱的分类研究. 光谱学与光谱分析, 2019, 39(5): 1618-1622

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