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Reliability Checks on the Indo-US Stellar Spectral Library Using Artificial Neural Networks and Principal Component Analysis
https://kindai.repo.nii.ac.jp/records/1275
https://kindai.repo.nii.ac.jp/records/12752f7624cf-bb65-4db9-8969-e248619f5521
| 名前 / ファイル | ライセンス | アクション |
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AA1082896X-20060225-0177.pdf (1.0 MB)
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| Item type | ☆学術雑誌論文 / Journal Article(1) | |||||||||||||||||||
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| 公開日 | 2011-02-01 | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | Reliability Checks on the Indo-US Stellar Spectral Library Using Artificial Neural Networks and Principal Component Analysis | |||||||||||||||||||
| 著者 |
SINGH, Harinder P.
× SINGH, Harinder P.
× YUASA, Manabu
× YAMAMOTO, Nawo
× GUPTA, Ranjan
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| 言語 | ||||||||||||||||||||
| 言語 | eng | |||||||||||||||||||
| キーワード | ||||||||||||||||||||
| 主題 | catalogs, methods: data analysis, stars: general | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||
| 著者 所属 | ||||||||||||||||||||
| 値 | Department of Physics and Astrophysics, University of Delhi | |||||||||||||||||||
| 著者 所属 | ||||||||||||||||||||
| 値 | Research Institute for Science and Technology, Kinki University | |||||||||||||||||||
| 著者 所属 | ||||||||||||||||||||
| 値 | Research Institute for Science and Technology, Kinki University | |||||||||||||||||||
| 著者 所属 | ||||||||||||||||||||
| 値 | Inter-University Center for Astronomy and Astrophysics | |||||||||||||||||||
| 版 | ||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||
| 出版者 名前 | ||||||||||||||||||||
| 出版者 | Astronomical Society of Japan＝日本天文学会 | |||||||||||||||||||
| 書誌情報 |
PASJ: publications of the Astronomical Society of Japan en : 日本天文学会 欧文研究報告 巻 58, 号 1, p. 177-186, 発行日 2006-02-01 |
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| ISSN | ||||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||||
| 収録物識別子 | 00046264 | |||||||||||||||||||
| 識別番号 その他 | ||||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||||
| 内容記述 | 10023939975 | |||||||||||||||||||
| 抄録 | ||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||
| 内容記述 | [Abstract] The Indo-US coude feed stellar spectral library (CFLIB) made available to the astronomical community recently by Valdes et al. (2004, ApJS, 152, 251) contains spectra of 1273 stars in the spectral region 3460 to 9464A at a high resolution of 1A (FWHM) and a wide range of spectral types. Cross-checking the reliability of this database is an important and desirable exercise since a number of stars in this database have no known spectral types and a considerable fraction of stars has not so complete coverage in the full wavelength region of 3460–9464A resulting in gaps ranging from a few A to several tens of A. We use an automated classification scheme based on Artificial Neural Networks (ANN) to classify all 1273 stars in the database. In addition, principal component analysis (PCA) is carried out to reduce the dimensionality of the data set before the spectra are classified by the ANN. Most importantly, we have successfully demonstrated employment of a variation of the PCA technique to restore the missing data in a sample of 300 stars out of the CFLIB. | |||||||||||||||||||
| 内容記述 | ||||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||||
| 内容記述 | Copyright (c) 2006 Astronomical Society of Japan | |||||||||||||||||||
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| 内容記述タイプ | Other | |||||||||||||||||||
| 内容記述 | Journal Article | |||||||||||||||||||
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| 内容記述タイプ | Other | |||||||||||||||||||
| 内容記述 | application/pdf | |||||||||||||||||||
