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arXiv · 1902.09794

Non-parametric dark energy reconstruction using the tomographic Alcock-Paczynski test

Zhenyu Zhang·Gan Gu·Xiaoma Wang·Yun-He Li·Cristiano G. Sabiu·Hyunbae Park·Haitao Miao·Xiaolin Luo·Feng Fang·Xiao-Dong Li
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Abstract

The tomographic Alcock-Paczynski (AP) method can result in tight cosmological constraints by using small and intermediate clustering scales of the large scale structure (LSS) of the galaxy distribution. By focusing on the redshift dependence, the AP distortion can be distinguished from the distortions produced by the redshift space distortions (RSD). In this work, we combine the tomographic AP method with other recent observational datasets of SNIa+BAO+CMB+$H_0$ to reconstruct the dark energy equation-of-state $w$ in a non-parametric form. The result favors a dynamical DE at $z\lesssim1$, and shows a mild deviation ($\lesssim2\sigma$) from $w=-1$ at $z=0.5-0.7$. We find the addition of the AP method improves the low redshift ($z\lesssim0.7$) constraint by $\sim50\%$.

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Zhenyu Zhang, Gan Gu, Xiaoma Wang, Yun-He Li, Cristiano G. Sabiu, Hyunbae Park, Haitao Miao, Xiaolin Luo, Feng Fang, Xiao-Dong Li. 2019-02-26. Non-parametric dark energy reconstruction using the tomographic Alcock-Paczynski test. https://doi.org/10.3847/1538-4357/ab1ea4

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