Testing tidal alignment models for anisotropic correlations of halo ellipticities with N-body simulations. (arXiv:2001.05302v1 [astro-ph.CO])

<a href="http://arxiv.org/find/astro-ph/1/au:+Okumura_T/0/1/0/all/0/1">Teppei Okumura</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Taruya_A/0/1/0/all/0/1">Atsushi Taruya</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Nishimichi_T/0/1/0/all/0/1">Takahiro Nishimichi</a>

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.

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.

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