自動識別發(fā)射線恒星光譜的新方法
發(fā)布時間:2018-08-13 21:08
【摘要】:恒星光譜一般具有明顯的吸收線或者吸收帶特征,而具有發(fā)射線的恒星光譜對應著特殊類型的恒星,如激變變星、Herbig Ae/Be等。對這些光譜的后續(xù)研究有著重要的意義。本文提出了一種能夠自動識別發(fā)射線恒星光譜的方法。該方法首先對光譜進行連續(xù)譜歸一化,然后通過比較譜線對應的流量及其鄰域流量的均值和標準差,來判斷是否存在發(fā)射線。對SDSS DR8大樣本數(shù)據(jù)的實驗表明,該方法能夠完整、準確地識別發(fā)射線恒星。而且,由于該方法不涉及復雜的變換和運算,因而識別速度非?,可用于諸如LAMOST和SDSS這樣大型光譜巡天項目中發(fā)現(xiàn)發(fā)射線恒星光譜。
[Abstract]:The spectra of stars usually have obvious absorption lines or absorption bands, while the spectra of stars with emission lines correspond to special types of stars, such as the cataclysmic star Herbig Ae/Be and so on. The follow-up study of these spectra is of great significance. In this paper, a method for automatically recognizing the spectrum of emission line stars is presented. In this method, the spectrum is normalized by continuous spectrum, and then the emission line is judged by comparing the mean and standard deviation of the corresponding flux and its adjacent flux. Experiments on large sample data of SDSS DR8 show that the proposed method can recognize the stars of emission line completely and accurately. Moreover, because the method does not involve complex transformations and operations, the recognition speed is very fast, so it can be used to find the emission line star spectrum in large-scale spectral survey projects such as LAMOST and SDSS.
【作者單位】: 山東大學計算機科學與技術學院;山東大學威海分校機電與信息工程學院;中國科學院光學天文重點實驗室國家天文臺;
【基金】:國家自然科學基金項目(10973021,11078013,61020106001)資助
【分類號】:P144.1
本文編號:2182195
[Abstract]:The spectra of stars usually have obvious absorption lines or absorption bands, while the spectra of stars with emission lines correspond to special types of stars, such as the cataclysmic star Herbig Ae/Be and so on. The follow-up study of these spectra is of great significance. In this paper, a method for automatically recognizing the spectrum of emission line stars is presented. In this method, the spectrum is normalized by continuous spectrum, and then the emission line is judged by comparing the mean and standard deviation of the corresponding flux and its adjacent flux. Experiments on large sample data of SDSS DR8 show that the proposed method can recognize the stars of emission line completely and accurately. Moreover, because the method does not involve complex transformations and operations, the recognition speed is very fast, so it can be used to find the emission line star spectrum in large-scale spectral survey projects such as LAMOST and SDSS.
【作者單位】: 山東大學計算機科學與技術學院;山東大學威海分校機電與信息工程學院;中國科學院光學天文重點實驗室國家天文臺;
【基金】:國家自然科學基金項目(10973021,11078013,61020106001)資助
【分類號】:P144.1
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