A method of searching for supernova candidates from massive galaxy spectra
A method of searching for supernova candidates from massive galaxy spectra
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一种从大质量星系光谱中寻找超新星候选者的方法
DOI：
10.1007/s11433-010-4126-7
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发表时间：
2010-09
期刊：
影响因子：
--
通讯作者：
Zhao YongHeng
中科院分区：
文献类型：
--
作者：
Tu LiangPing;Luo ALi;Wu FuChao;Zhao YongHeng
本文提出了一种新的从大质量星系光谱中寻找超新星候选者的光谱方法，有望应用于大天空面积多目标光纤光谱望远镜(LAMOST)。该方法主要包括五个步骤。第一步是光谱预处理，包括利用小波变换去除光谱噪声、光谱去红移等。第二步是对星系光谱进行分解，得到星系成分和超新星成分，并计算出每个星系光谱的超新星统计特征向量(SNSCV)。第三步是根据每个光谱的SNSCV减少所有星系光谱数据集中的样本，并使用基于LOF(局部离群点因子)的离群点检测算法来获得初步选择的光谱数据。第四步采用互相关法进行模板匹配，根据匹配结果得到二次选取的光谱数据。最后，我们通过检查超新星的光谱特征来手动选择最终的超新星候选者。用本文提出的光谱方法，在一个包含294843个星系光谱的数据集中已经探测到36个候选超新星，其中9个是第一次探测到的，另外27个已经在其他文献中被报道过(其中15个是我们首次探测和报道的)。24个新的超新星候选者包括20个LA型超新星候选者，3个IC型超新星候选者和1个II型超新星候选者。
This paper presents a novel spectroscopic method for searching for supernova candidates from massive galaxy spectra, which is expected to be applied to the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). This method includes mainly five steps. The first step is spectral preprocessing, including removing spectral noise using wavelet transform, spectral de-redshift, etc. The second step is decomposition of galactic spectra; we can get the galaxy component and supernova component and calculate the Supernova Statistical Characterization Vector (SNSCV) of each galaxy spectrum. The third step is to decrease samples in all the galaxy spectral datasets according to SNSCV of each spectrum, and to use the LOF (Local Outlier Factor)-based outlier detection algorithm to obtain the preliminary selected spectral data. The fourth step is template matching by cross-correlation, according to the matched results we get the secondary selected spectral data. Finally, we choose the final supernova candidates manually through checking the spectral features characteristic of a supernova. By the spectroscopic method proposed in this paper, thirty-six supernova candidates have been detected in a dataset including 294843 galaxy spectra from the Sloan Digital Sky Survey Data Release 7. Nine of these objects are detected first and the other twenty-seven have been reported in other publications (fifteen of which are detected and reported first by us). The twenty-four new super-nova candidates include twenty la type supernova candidates, three Ic type supernova candidates and one II type supernova candidate.
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使用模板匹配进行自动光谱分类
影响因子：
1.8
作者：
Wu, Fu-Chao;Duan, Fu-Qing;Zhou, Ming-Quan;Guo, Ping;Liu, Rong
通讯作者：
Liu, Rong
DOI：
10.1007/978-1-4471-0285-4
发表时间：
2012-10
期刊：
--
影响因子：
--
作者：
Shigeo Abe DrEng
通讯作者：
Shigeo Abe DrEng
影响因子：
5.6
作者：
G. Aldering;G. Adam;P. Antilogus;P. Astier;R. Bacon;S. Bongard;C. Bonnaud;Y. Copin;D. Hardin;F. Hénault;D. Howell;J. Lemonnier;J. Levy;S. Loken;P. Nugent;R. Pain;A. Pécontal;E. Pecontal;S. Perlmutter;R. Quimby;K. Schahmaneche;G. Smadja;W. M. Wood-Vasey
通讯作者：
G. Aldering;G. Adam;P. Antilogus;P. Astier;R. Bacon;S. Bongard;C. Bonnaud;Y. Copin;D. Hardin;F. Hénault;D. Howell;J. Lemonnier;J. Levy;S. Loken;P. Nugent;R. Pain;A. Pécontal;E. Pecontal;S. Perlmutter;R. Quimby;K. Schahmaneche;G. Smadja;W. M. Wood-Vasey
DOI：
10.1086/497635
发表时间：
2005-09
期刊：
The Astronomical Journal
影响因子：
--
作者：
I. Hook;D. Howell;G. Aldering;R. Amanullah;M. S. Burns;A. Conley;A. Conley;S. Deustua;R. Ellis;S. Fabbro;V. Fadeyev;G. Folatelli;G. Garavini;G. Garavini;R. Gibbons;G. Goldhaber;G. Goldhaber;A. Goobar;D. Groom;A. Kim;R. Knop;M. Kowalski;C. Lidman;S. Nobili;S. Nobili;P. Nugent;R. Pain;C. Pennypacker;S. Perlmutter;S. Perlmutter;P. Ruíz-Lapuente;G. Sainton;B. E. Schaefer;E. Smith;A. Spadafora;V. Stanishev;R. Thomas;N. Walton;Lei Wang;W. M. Wood-Vasey;W. M. Wood-Vasey
通讯作者：
I. Hook;D. Howell;G. Aldering;R. Amanullah;M. S. Burns;A. Conley;A. Conley;S. Deustua;R. Ellis;S. Fabbro;V. Fadeyev;G. Folatelli;G. Garavini;G. Garavini;R. Gibbons;G. Goldhaber;G. Goldhaber;A. Goobar;D. Groom;A. Kim;R. Knop;M. Kowalski;C. Lidman;S. Nobili;S. Nobili;P. Nugent;R. Pain;C. Pennypacker;S. Perlmutter;S. Perlmutter;P. Ruíz-Lapuente;G. Sainton;B. E. Schaefer;E. Smith;A. Spadafora;V. Stanishev;R. Thomas;N. Walton;Lei Wang;W. M. Wood-Vasey;W. M. Wood-Vasey
影响因子：
5.3
作者：
TONRY, J;DAVIS, M
通讯作者：
DAVIS, M