Mapping the Real Space Distributions of Galaxies in SDSS DR7: II. Measuring the growth rate, clustering amplitude of matter and biases of galaxies at redshift $0.1$
Feng Shi, Xiaohu Yang, Huiyuan Wang, Youcai Zhang, H.J. Mo, Frank C., van den Bosch, Wentao Luo, Dylan Tweed, Shijie Li, Chengze Liu, Yi Lu, Lei, Yang

TL;DR
This paper extends a real-space mapping method to flux-limited galaxy samples, enabling accurate measurements of galaxy clustering, biases, and the growth rate of structure from SDSS data, with implications for cosmological parameters.
Contribution
It introduces an improved real-space mapping technique applicable to flux-limited samples and demonstrates its effectiveness using SDSS DR7 data for cosmological measurements.
Findings
Accurate recovery of real-space correlation functions and galaxy biases.
Unbiased estimate of growth rate $f\sigma_8$ with ~10% accuracy.
Constraints on $f$, $\sigma_8$, and galaxy bias at $z=0.1$.
Abstract
We extend the real-space mapping method developed in Shi et at. (2016) so that it can be applied to flux-limited galaxy samples. We use an ensemble of mock catalogs to demonstrate the reliability of this extension, showing that it allows for an accurate recovery of the real-space correlation functions and galaxy biases. We also demonstrate that, using an iterative method applied to intermediate-scale clustering data, we can obtain an unbiased estimate of the growth rate of structure , which is related to the clustering amplitude of matter, to an accuracy of . Applying this method to the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7), we construct a real-space galaxy catalog spanning the redshift range , which contains 584,473 galaxies in the north Galactic cap (NGC). Using this data, we infer at a median redshift , which is…
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