Galaxy Clustering Topology in the Sloan Digital Sky Survey Main Galaxy Sample: a Test for Galaxy Formation Models
Yun-Young Choi, Changbom Park, Juhan Kim, J. Richard Gott III, David, H. Weinberg, Michael S. Vogeley, and Sungsoo S. Kim

TL;DR
This study measures the topology of galaxy clustering in SDSS data, revealing biases and dependencies on galaxy properties, and tests galaxy formation models against these observations, finding none fully reproduce the observed topology.
Contribution
It provides the first detailed measurement of galaxy clustering topology in SDSS data and compares it with various galaxy formation models, highlighting significant discrepancies.
Findings
Galaxy topology shows scale-dependent shifts and void abundance variations.
Observed galaxy topology differs significantly from model predictions.
Morphology influences topology more than color, especially in void abundance.
Abstract
We measure the topology of the main galaxy distribution using the Seventh Data Release of the Sloan Digital Sky Survey, examining the dependence of galaxy clustering topology on galaxy properties. The observational results are used to test galaxy formation models. A volume-limited sample defined by enables us to measure the genus curve with amplitude of at Mpc smoothing scale, with 4.8\% uncertainty including all systematics and cosmic variance. The clustering topology over the smoothing length interval from 6 to Mpc reveals a mild scale-dependence for the shift () and void abundance () parameters of the genus curve. We find substantial bias in the topology of galaxy clustering with respect to the predicted topology of the matter distribution, which varies with luminosity, morphology, color, and the smoothing scale of the density…
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