Galaxy clustering and projected density profiles as traced by satellites in photometric surveys: Methodology and luminosity dependence
Wenting Wang, Y.P. Jing, Cheng Li, Teppei Okumura, Jiaxin Han

TL;DR
This paper introduces a novel method to measure galaxy clustering and density profiles using photometric and spectroscopic data, enabling luminosity-dependent analysis without redshift info, and confirms satellite galaxy distribution consistency across luminosities.
Contribution
The paper presents a new unbiased approach to measure projected density and correlation functions in photometric surveys, applicable to large volumes and luminosity-dependent studies.
Findings
Galaxy bias depends on luminosity similarly at z~0.4 and z~0.1.
Density profiles of satellites are similar across luminosities.
Method is statistically unbiased and applicable to large survey volumes.
Abstract
We develop a new method which measures the projected density distribution w_p(r_p)n of photometric galaxies surrounding a set of spectroscopically-identified galaxies, and simultaneously the projected correlation function w_p(r_p) between the two populations. In this method we are able to divide the photometric galaxies into subsamples in luminosity intervals when redshift information is unavailable, enabling us to measure w_p(r_p)n and w_p(r_p) as a function of not only the luminosity of the spectroscopic galaxy, but also that of the photometric galaxy. Extensive tests show that our method can measure w_p(r_p) in a statistically unbiased way. The accuracy of the measurement depends on the validity of the assumption in the method that the foreground/background galaxies are randomly distributed and thus uncorrelated with those galaxies of interest. Therefore, our method can be applied to…
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