Detection of intrinsic cluster alignments to 100 Mpc/h in the SDSS

TL;DR

This study detects large-scale intrinsic alignments of galaxy clusters in SDSS data up to 100 Mpc/h, supporting LCDM predictions and highlighting the importance of cluster selection effects.

Contribution

First detection of large-scale cluster alignments in SDSS data up to 100 Mpc/h, using two different cluster catalogues and alignment types.

Findings

Strong pointing alignment detection up to 100 Mpc/h.

Marginal correlation alignment detection up to 20 Mpc/h.

Results support LCDM intrinsic alignment models.

Abstract

We measure the large-scale intrinsic alignments of galaxy clusters in the Sloan Digital Sky Survey (SDSS) using subsets of two cluster catalogues: 6625 clusters with 0.1<z<0.3 from the maxBCG cluster catalogue (Koester et al. 2007, 7500 sq. deg.), and 8081 clusters with 0.08<z<0.44 from the Adaptive Matched Filter catalogue (Dong et al. 2008, 6500 sq. deg.). We search for two types of cluster alignments using pairs of clusters: the alignment between the projected major axes of the clusters (`correlation' alignment), and the alignment between one cluster major axis and the line connecting it to the other cluster in the pair (`pointing' alignment). In each case, we use the cluster member galaxy distribution as a tracer of the cluster shape. All measurements are carried out with each catalogue separately, to check for dependence on cluster selection procedure. We find a strong detection of the pointing alignment on scales up to 100 Mpc/h, at the 6 or 10-sigma level depending on the cluster selection algorithm used. The correlation alignment is only marginally detected up to ~20 Mpc/h, at the 2 or 2.5-sigma level. These results support our current theoretical understanding of galaxy cluster intrinsic alignments in the LCDM paradigm, although further work will be needed to understand the impact of cluster selection effects and observational measurement errors on the amplitude of the detection.