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Gradient pattern analysis applied to galaxy morphology
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DOI：10.1093/mnrasl/sly054.png)
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摘要
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Gradient pattern analysis (GPA) is a well-established technique for measuring gradient bilateral asymmetries of a square numerical lattice. This paper introduces an improved version of GPA designed for galaxy morphometry. We show the performance of the new method on a selected sample of 54 896 objects from the SDSS-DR7 in common with Galaxy Zoo 1 catalogue. The results suggest that the second gradient moment, G(2), has the potential to dramatically improve over more conventional morphometric parameters. It separates early-from late-type galaxies better (similar to 90 per cent) than the CAS system (C similar to 79 per cent, A similar to 50 per cent, S similar to 43 per cent) and a benchmark test shows that it is applicable to hundreds of thousands of galaxies using typical processing systems.
Keyword:
methods: data analysis
galaxies: general
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期刊
IF:
4.8
论文数:
7.0W
被引数:
25.0W
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引用论文
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