Nonparametric Dark Energy Reconstruction Using the Tomographic Alcock-Paczynski Test
Sabiu, Cristiano G.; Park, Hyunbae; Li, Yun-He; Li, Xiao-Dong; Miao, Haitao; Zhang, Zhenyu; Gu, Gan; Wang, Xiaoma; Luo, Xiaolin; Fang, Feng
China, South Korea, Japan
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 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. In this work, we combine the tomographic AP method with other recent observational data sets of SN Ia+BAO+CMB+H 0 to reconstruct the dark energy equation-of-state w in a nonparametric form. The result favors a dynamical DE at z ≲ 1, and shows a mild deviation (≲2σ) from w = -1 at z = 0.5-0.7. We find the addition of the AP method improves the low-redshift (z ≲ 0.7) constraint by ∼50%.