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arXiv 1203.0571astro-ph.CO
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星系和恒星形状的快速估计

Fast Shape Estimation for Galaxies and Stars

Guoliang Li, Bo Xin, Wei Cui

摘要:

模型拟合经常被用来确定星系的形状和点扩散函数,例如,在弱透镜分析或旨在探测星系演化的形态学研究中。然而,模型中的参数数量以及对象数量通常很大,以至于限制了模型拟合在未来大型调查中的使用。在这篇文章中,我们提出了一套算法来加快拟合过程。我们的方法分为三个不同的步骤:质心,椭圆度测量和轮廓拟合。我们证明,我们可以推导出的位置和椭圆率的对象解析在前两个步骤,从而只留下少量的参数通过模型拟合推导。位置,椭圆率和形状参数,然后可以用于构建正交基函数,如sérsiclets更好的星系图像重建。我们评估的效率和准确性的算法与模拟图像。我们没有考虑到点扩散函数的反卷积,而大多数弱透镜分析都考虑到了这一点。

英文摘要:

Model fitting is frequently used to determine the shape of galaxies and the point spread function, for examples, in weak lensing analyses or morphology studies aiming at probing the evolution of galaxies. However, the number of parameters in the model, as well as the number of objects, are often so large as to limit the use of model fitting for future large surveys. In this article, we propose a set of algorithms to speed up the fitting process. Our approach is divided into three distinctive steps: centroiding, ellipticity measurement, and profile fitting. We demonstrate that we can derive the position and ellipticity of an object analytically in the first two steps and thus leave only a small number of parameters to be derived through model fitting. The position, ellipticity, and shape parameters can then used in constructing orthonomal basis functions such as sérsiclets for better galaxy image reconstruction. We assess the efficiency and accuracy of the algorithms with simulated images. We have not taken into account the deconvolution of the point spread function, which most weak lensing analyses do.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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