First integration of tomographic AP tests with MCFs and PCA compression yields 48% and 45% tighter errors on Ω_m and w versus standard two-point functions.
Non-parametric dark energy reconstruction using the tomographic Alcock-Paczynski test
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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 $\sim50\%$.
fields
astro-ph.CO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
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Tomographic Alcock-Paczynski Test with Marked Correlation Functions
First integration of tomographic AP tests with MCFs and PCA compression yields 48% and 45% tighter errors on Ω_m and w versus standard two-point functions.