Autocorrelations of stellar light and mass in the low-redshift Universe
Cheng Li, Simon D. M. White

TL;DR
This study uses SDSS data to analyze how stellar light and mass are spatially correlated in the low-redshift universe, revealing systematic variations in clustering and stellar population properties across different scales and wavelengths.
Contribution
It provides detailed measurements of galaxy light autocorrelations across multiple bands and compares them with stellar mass autocorrelations, offering new insights into galaxy clustering and stellar population distributions.
Findings
Stellar luminosity is less strongly clustered than stellar mass.
Autocorrelation functions follow power-law behavior over a wide scale range.
Color and mass-to-light ratio vary systematically with scale, reflecting environmental effects.
Abstract
The final data release of the Sloan Digital Sky Survey (SDSS) provides reliable photometry and spectroscopy for about half a million galaxies with median redshift 0.09. Here we use these data to estimate projected autocorrelation functions w_p(r_p) for the light of galaxies in the five SDSS photometric bands. Comparison with the analogous stellar mass autocorrelation, estimated in a previous paper, shows that stellar luminosity is less strongly clustered than stellar mass in all bands and on all scales. Over the full nonlinear range 10 kpc/h < r_p < 10 Mpc/h our autocorrelation estimates are extremely well represented by power laws. The parameters of the corresponding spatial functions \xi(r) = (r/r_0)^\gamma vary systematically from r_0=4.5 Mpc/h and \gamma=-1.74 for the bluest band (the u band) to r_0=5.8 Mpc/h and \gamma=-1.83 for the reddest one (the z band). These may be compared…
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