Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-27T14:02:36.999Z Has data issue: false hasContentIssue false
  • English
  • Français

Exponential Polynomial Fitting for Fibre Spectrum CCD Profiles

Published online by Cambridge University Press:  02 January 2013

Zhangqin Zhu ,
Jia Zhu ,
Hanqin Qin ,
Chong Wang  and
Zhongfu Ye
Zhangqin Zhu
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
Jia Zhu
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
Hanqin Qin
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
Chong Wang
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
Zhongfu Ye*
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
*
BCorresponding author. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

A fibre spectrum profile fitting method based on the least-squares method is presented in this article. For each spectrum of one fibre in spatial orientation, two exponential functions are employed to approximate the profile. Experiments are performed with both simulated profiles and observed profiles to demonstrate the effectiveness of the algorithm. Specially, the proposed method has a better performance for profiles that are asymmetric or composed of multi-Gaussian functions.

Keywords

line: profilesmethods: data analysistechniques: spectroscopic
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 27 , Issue 3 , 2010 , pp. 290 - 295
Copyright
Copyright © Astronomical Society of Australia 2010

References

Becker, T., 2001, PhD Thesis, Potsdam UniversityGoogle Scholar
de Boer, K. S. & Snijders, M. A. J., 1981, IUE NASA Newsletter, 14, 154Google Scholar
Deng, T. B., 1997, ICICS, 1288Google Scholar
Horne, K., 1986, PASP, 609, 617Google Scholar
Qin, H. Q., Ye, Z. F. & Luo, A.-L., 2009, PASP, 121, 408CrossRefGoogle Scholar
Marsh, T. R., 1989, PASP, 98, 609Google Scholar
Robertson, J. G., 1986, PASP, 1220, 1231Google Scholar
Roth, M. M. et al. , 2005, PASP, 117, 620CrossRefGoogle Scholar
Sanchez, S. F., 2006, AN, 327, 850Google Scholar