Sersiclets --用于弱透镜研究的Shapnard匹配滤波器扩展
Sersiclets - A Matched Filter Extension of Shapelets for Weak Lensing Studies
摘要：
利用大尺度结构的弱透镜效应对暗物质的精确研究受到测量星系形状的精度的强烈限制。已经设计了几种方法，但没有一种方法能够达到未来弱透镜测量所需的精度水平。在这封信中，我们探索新的途径，现有的Shapardian方法，结合先验知识的星系配置文件的权力，正交基函数分解。这封信讨论了这种匹配滤波器方法提出的新问题，并提出了有前途的替代形状测量技术。特别地，看起来使用限于椭圆径向拟合函数的匹配滤波器（例如Sersic轮廓）解决了几个众所周知的Shapelet问题。
英文摘要：
The precision study of dark matter using weak lensing by large scale structure is strongly constrained by the accuracy with which one can measure galaxy shapes. Several methods have been devised but none have demonstrated the ability to reach the level of precision required by future weak lensing surveys. In this Letter we explore new avenues to the existing Shapelets approach, combining a priori knowledge of the galaxy profile with the power of orthogonal basis function decomposition. This Letter discusses the new issues raised by this matched filter approach and proposes promising alternatives to shape measurement techniques. In particular it appears that the use of a matched filter (e.g. Sersic profile) restricted to elliptical radial fitting functions resolves several well known Shapelet issues.
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