论文标题
在剪切测量中迈向无偏见的选择函数
Towards a Bias-Free Selection Function in Shear Measurement
论文作者
论文摘要
样品选择是弱透镜测量的必要准备。众所周知，选择本身可能在测得的剪切信号中引入偏差。使用图像模拟和Fourier_quad剪切测量管道，我们量化了各种常用的选择函数（信噪比，比例，大小等）中的选择偏差。我们提出了一个在星系图像的功率谱中定义的新选择函数。这个新的选择功能具有低选择偏置，并且基于傅立叶变换的剪切测量管道特别方便。
Sample selection is a necessary preparation for weak lensing measurement. It is well-known that selection itself may introduce bias in the measured shear signal. Using image simulation and the Fourier_Quad shear measurement pipeline, we quantify the selection bias in various commonly used selection function (signal-to-noise-ratio, magnitude, etc.). We proposed a new selection function defined in the power spectrum of the galaxy image. This new selection function has low selection bias, and it is particularly convenient for shear measurement pipelines based on Fourier transformation.
