A Surface Fitting Technique for Determing the Stellar Effective Temperature

ZHANG Jian-nan; WU Fu-chao; LUO A-li; ZHAO Yong-heng

Astronomical Research and Technology > 2004 > 1(4): 249-258.

ZHANG Jian-nan, WU Fu-chao, LUO A-li, ZHAO Yong-heng. A Surface Fitting Technique for Determing the Stellar Effective Temperature[J]. Astronomical Research and Technology, 2004, 1(4): 249-258.

Citation:

ZHANG Jian-nan, WU Fu-chao, LUO A-li, ZHAO Yong-heng. A Surface Fitting Technique for Determing the Stellar Effective Temperature[J]. Astronomical Research and Technology, 2004, 1(4): 249-258.

Citation:

ZHANG Jian-nan, WU Fu-chao, LUO A-li, ZHAO Yong-heng. A Surface Fitting Technique for Determing the Stellar Effective Temperature[J]. Astronomical Research and Technology, 2004, 1(4): 249-258.

PDF (1005 KB)

A Surface Fitting Technique for Determing the Stellar Effective Temperature

1.
National Laboratory of Pat tern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080
2.
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China

More Information

Received Date: May 13, 2004
Revised Date: September 19, 2004
Published Date: October 14, 2004

Graphical Abstract

Abstract

Abstract

The effective temperature of a star is one of the most important parameters,which determine the continuum and spectral lines in the stellar spectrum.A surface fitting technique is proposed to estimate the stellar effective temperature in this paper.Firstly the model spectrum data is processed by the PCA,then a surface,which is a exponential function of a polynomial with base 10,is used to fit the points defined by the PCA data and corresponding effective temperatures,and the effective temperature of other star is determined by the fitting surface.The experiments verify the efficiency of this technique,and show that the exponential function of a cubic polynomial with base 10 in two-dimensional PCA is best in numerical accuracy and robustness.
- Stellar spectrum,
- Effective temperature of star,
- Surface fitting,
- Principal component analysis (PCA)

FullText(HTML)

References (0)

Articles Related

[1]	Geng Chengjie, Li Runxin, Liu Hui, Shang Zhenhong. Coronal Jet Automatic Detection Method Based on Fast Robust Principal Component Analysis [J]. Astronomical Research and Technology, 2022, 19(1): 78-85. DOI: 10.14005/j.cnki.issn1672-7673.20210415.003
[2]	Li Zhengze, Zhao Gang. Neural Network Model of the Effective Temperature for A Type Star Based on Principal Component Analysis [J]. Astronomical Research and Technology, 2020, 17(3): 366-375.
[3]	Luo Feng, Liu Chao, Zhao Yongheng. Automatic Normalization Method of Stellar Spectrum Based on Spline Function [J]. Astronomical Research and Technology, 2019, 16(3): 300-311.
[4]	Dai Wei, Shang Zhenhong, Xu Yonghua, Liu Hui, Yang Yaguang, Qiang Zhenping. Radio Frequency Mitigation Using Independent Component Analysis [J]. Astronomical Research and Technology, 2019, 16(3): 268-277.
[5]	ZHANG Zhi-yuan, PENG Qing-yu. Comparison of Fitting ePSF and Fitting Gaussian-Functions [J]. Astronomical Research and Technology, 2010, 7(2): 132-139.
[6]	JIN Wang, WANG Min, ZHANG Ju-yong, ZHAO Hui, ZHANG Ping, SONG Jun-feng, XU-Chun. Adjustment and Analysis of the 40m Antenna Surface [J]. Astronomical Research and Technology, 2006, 3(4): 401-407.
[7]	Xu Da-wei, Stefanie Komossa, Wei Jian-yan, Qian Yi, Zheng Xian-zhong. A Spectral Analysis of 155 Seyfert 1 Type AGN [J]. Astronomical Research and Technology, 2003, 0(S1): 42-45.
[8]	Gu Shenghong, Tan Huisong, Liu Xuefu. The Spectrum Analysis of Three Chromospherically Active Binary Stars [J]. Publications of the Yunnan Observatory, 1999, 0(S1): 367-371.
[9]	Xiong Guanzhu, Chen Jianbao. Linearization Method for Fitting the Infrared Spectrum of the Late Type Stars [J]. Publications of the Yunnan Observatory, 1995, 0(2): 36-41.
[10]	Li Kejian, Li Jingqian, Chang Zhimin. Analysis of the Principle and the Damaged Components of the Imported Solar K-Filter at Yunnan Observatory [J]. Publications of the Yunnan Observatory, 1989, 0(4): 56-61.