The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: higher-order correlations revealed by germ-grain Minkowski Functionals
Alexander Wiegand, Daniel J. Eisenstein

TL;DR
This paper uses germ-grain Minkowski Functionals to analyze higher-order galaxy clustering in SDSS-III BOSS data, revealing significant non-Gaussian features and comparing results with mock catalogs.
Contribution
It introduces a novel application of Minkowski Functionals to detect higher-order correlations in galaxy distributions, demonstrating their sensitivity up to six-point functions.
Findings
Significant non-Gaussian higher-order correlations detected in galaxy data.
MultiDark-Patchy mocks better match observed higher-order clustering.
Quantitative discrepancy between mocks and data suggests potential model improvements.
Abstract
We probe the higher-order clustering of the galaxies in the final data release (DR12) of the Sloan Digital Sky Survey Baryon Oscillation Spectroscopic Survey (BOSS) using the method of germ-grain Minkowski Functionals (MFs). Our sample consists of 410,615 BOSS galaxies from the northern Galactic cap in the redshift range 0.450--0.595. We show the MFs to be sensitive to contributions up to the six-point correlation function for this data set. We ensure with a custom angular mask that the results are more independent of boundary effects than in previous analyses of this type. We extract the higher-order part of the MFs and quantify the difference to the case without higher-order correlations. The resulting value of over 10,000 for a modest number of degrees of freedom, O(200), indicates a 100-sigma deviation and demonstrates that we have a highly significant signal of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
