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Application of MGC method to centering saturated and stretched images†

Published online by Cambridge University Press:  01 October 2007

Y. D. Mao ,
Y. Li  and
Z. H. Tang
Y. D. Mao
Affiliation:
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China email: [email protected] Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Y. Li
Affiliation:
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China email: [email protected] Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Z. H. Tang
Affiliation:
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China email: [email protected]
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Abstract

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Sometimes saturated and stretched star images with bad data in their central parts may result in astronomical CCD observations. Considering the special characteristics of the saturated and stretched star images, a method known as MGC(Mean-Geometric-Centering) is put forward for determining the centers of these images. The basic principles and processing pipelines of MGC are introduced, and several noteworthy items in the realization of MGC are discussed. Results of applying MGC to simulated and real data are also presented.

Keywords

techniques: image processingmethods: data analysisastrometry
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 3 , Symposium S248: A Giant Step: from Milli- to Micro-arcsecond Astrometry , October 2007 , pp. 110 - 111
Copyright
Copyright © International Astronomical Union 2008

References

Stone, R. C., et al. 1989, AJ, 97, 1227Google Scholar
Høg, E., et al. 1999, A&A, 357, 367Google Scholar