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GALAXY MODELING WITH COMPOUND ELLIPTICAL SHAPELETS
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DOI：10.1088/0004-6256/140/3/870.png)
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摘要
En 中文
Gauss-Hermite and Gauss-Laguerre (shapelet) decompositions of images have become important tools in galaxy modeling, particularly for the purpose of extracting ellipticity and morphological information from astronomical data. However, the standard shapelet basis functions cannot compactly represent galaxies with high ellipticity or large Sersic index, and the resulting underfitting bias has been shown to present a serious challenge for weak-lensing methods based on shapelets. We present here a new convolution relation and a compound multiscale shapelet basis to address these problems and provide a proof-of-concept demonstration using a small sample of nearby galaxies.
Keyword:
galaxies: structure
gravitational lensing: weak
methods: data analysis
techniques: image processing
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期刊
IF:
5.1
论文数:
1.4W
被引数:
5.0W
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引用论文
Shear recovery accuracy in weak-lensing analysis with the elliptical Gauss-Laguerre method.png)
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