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An Automated Method of Selecting Galactic Stars with DIB Features from the SDSS

Zhang Bo, Pan Chuchu, Ye Chen, Tang Yijun

章博, 潘楚楚, 叶宸, 唐轶峻. 基于SDSS的河内恒星DIBs自动识别方法[J]. 天文技术与仪器, 2013, 10(3): 301-307.
引用本文: 章博, 潘楚楚, 叶宸, 唐轶峻. 基于SDSS的河内恒星DIBs自动识别方法[J]. 天文技术与仪器, 2013, 10(3): 301-307.
Zhang Bo, Pan Chuchu, Ye Chen, Tang Yijun. An Automated Method of Selecting Galactic Stars with DIB Features from the SDSS[J]. Astronomical Research and Technology, 2013, 10(3): 301-307.
Citation: Zhang Bo, Pan Chuchu, Ye Chen, Tang Yijun. An Automated Method of Selecting Galactic Stars with DIB Features from the SDSS[J]. Astronomical Research and Technology, 2013, 10(3): 301-307.

基于SDSS的河内恒星DIBs自动识别方法

基金项目: 浙江省大学生科技创新活动计划(新苗人才计划)资助.
详细信息
    作者简介:

    章博,男,本科.研究方向:天文技术与方法.Email:chamberlain31@163.com

  • 中图分类号: P141.5

An Automated Method of Selecting Galactic Stars with DIB Features from the SDSS

  • 摘要: 星际弥散带(Diffuse Interstellar Bands,DIBs)自发现以来已经经历了近百年的研究,但是至今仍然是天体光谱学上的一个未解之谜。针对SDSS DR7的光谱数据提出了一种星际弥散带特征自动识别方法。该方法基于谱线特征匹配,通过光谱流量限制的方法进行星际弥散带特征的自动识别。利用它可对相对定标的巡天光谱进行广泛的星际弥散带候选天体搜索,在海量光谱数据中获取更多具有星际弥散带特征的河内恒星。通过对SDSS DR7中位置相对合适的超过300个盘的天体光谱的遍历,已经得到了一系列具有星际弥散带特征的候选河内恒星,并且证明了该方法简单有效且具有鲁棒性。这为载体证认等工作提供了大量辅助数据,极大地推进了星际弥散带的研究。
    Abstract: The problem of Diffuse Interstellar Bands (DIBs) has been studied for almost a century since the discovery, but it still remains a mystery. A method is proposed in this paper for automatically selecting Galactic stars with DIB features from the SDSS DR7 data. This method is based on spectral-feature matching, and selecting of DIB features by requiring sufficiently low relative neighboring-pixel fluxes for the central-wavelength pixels of DIB lines (-line-profile prominence). We are able to select candidates of Galactic stars with DIB features with this method from calibrated spectra, as shown by experiments on over 300 SDSS plates. The paper thus shows the simplicity, effectiveness, and robustness of the method. The method will provide a huge amount of data for research areas such as identifications of stars of these features, and will push forward research of DIBs.
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出版历程
  • 收稿日期:  2012-06-19
  • 修回日期:  2012-07-03
  • 发布日期:  2013-07-14
  • 刊出日期:  2013-07-14

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