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Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters

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arxiv 2007.03150 v2 pith:LKL22QZD submitted 2020-07-07 astro-ph.CO

Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters

classification astro-ph.CO
keywords mcfsalphaconstraintscorrelationimprovecosmologicaldifferentfunctions
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We used the mark weighted correlation functions (MCFs), $W(s)$, to study the large scale structure of the Universe. We studied five types of MCFs with the weighting scheme $\rho^\alpha$, where $\rho$ is the local density, and $\alpha$ is taken as $-1,\ -0.5,\ 0,\ 0.5$, and 1. We found that different MCFs have very different amplitudes and scale-dependence. Some of the MCFs exhibit distinctive peaks and valleys that do not exist in the standard correlation functions. Their locations are robust against the redshifts and the background geometry, however it is unlikely that they can be used as ``standard rulers'' to probe the cosmic expansion history. Nonetheless we find that these features may be used to probe parameters related with the structure formation history, such as the values of $\sigma_8$ and the galaxy bias. Finally, after conducting a comprehensive analysis using the full shapes of the $W(s)$s and $W_{\Delta s}(\mu)$s, we found that, combining different types of MCFs can significantly improve the cosmological parameter constraints. Compared with using only the standard correlation function, the combinations of MCFs with $\alpha=0,\ 0.5,\ 1$ and $\alpha=0,\ -1,\ -0.5,\ 0.5,\ 1$ can improve the constraints on $\Omega_m$ and $w$ by $\approx30\%$ and $50\%$, respectively. We find highly significant evidence that MCFs can improve cosmological parameter constraints.

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  1. Tomographic Alcock-Paczynski Test with Marked Correlation Functions

    astro-ph.CO 2025-04 unverdicted novelty 7.0

    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.