论文标题
测试与N体模拟的光环椭圆度各向异性相关性的潮汐比对模型
Testing tidal alignment models for anisotropic correlations of halo ellipticities with N-body simulations
论文作者
论文摘要
使用星系图像的固有比对（IA）作为提取宇宙学信息的工具的兴趣越来越大。最近，Okumura＆Taruya得出了用于固有椭圆度的有用公式 - 纤维化相关性，重力剪切 - 中椭圆度相关性以及基于线性比对（LA）模型的速度 - INTRINSIC椭圆相关函数。在本文中，使用大容量$ n $ body模拟，我们在真实和红移空间中测量这些对齐统计数据，并将它们与LA和非线性对齐模型预测进行比较。我们发现，我们的模型可以准确预测IA统计中Baryon声学振荡的各向异性特征。由于红移空间畸变（RSD）引起的各向异性在大规模限制中也很好地描述了。我们的结果表明，可以通过Alcock-Paczynski和RSD效应提取IA中编码的宇宙学信息。
There is a growing interest of using the intrinsic alignment (IA) of galaxy images as a tool to extract cosmological information complimentary to galaxy clustering analysis. Recently, Okumura & Taruya derived useful formulas for the intrinsic ellipticity--ellipticity correlation, the gravitational shear--intrinsic ellipticity correlation, and the velocity--intrinsic ellipticity correlation functions based on the linear alignment (LA) model. In this paper, using large-volume $N$-body simulations, we measure these alignment statistics in real and redshift space and compare them to the LA and nonlinear alignment model predictions. We find that anisotropic features of baryon acoustic oscillations in the IA statistics can be accurately predicted by our models. The anisotropy due to redshift-space distortions (RSDs) is also well described in the large-scale limit. Our results indicate that one can extract the cosmological information encoded in the IA through the Alcock-Paczynski and RSD effects.
