Galaxy Alignments in Very X-ray Luminous Clusters at z>0.5

TL;DR

This study investigates galaxy alignments in 12 high-redshift, X-ray luminous clusters using HST data and finds no significant radial alignments, contrasting with previous low-redshift studies, suggesting possible evolution or biases.

Contribution

First HST-based analysis of galaxy alignments in z>0.5 clusters, revealing no significant radial alignments and highlighting potential evolution or systematic biases.

Findings

No significant radial galaxy alignments within 500 kpc.

A mild, statistically insignificant trend towards radial alignments within 200 kpc.

Contrasts with previous findings of strong alignments at lower redshifts.

Abstract

We present the results of a search for galaxy alignments in 12 galaxy clusters at z>0.5, a statistically complete subset of the very X-ray luminous clusters from the MAssive Cluster Survey (MACS). Using high-quality images taken with the Hubble Space Telescope (HST) that render measurement errors negligible, we find no radial galaxy alignments within 500 kpc of the cluster centres for a sample of 545 spectroscopically confirmed cluster members. A mild, but statistically insignificant trend favouring radial alignments is observed within a radius of 200 kpc and traced to galaxies on the cluster red sequence. Our results for massive clusters at z>0.5 are in stark contrast to the findings of previous studies which find highly significant radial alignments of galaxies in nearby clusters at z~0.1 out to at least half the virial radius using imaging data from the SDSS. The discrepancy becomes even more startling if radial alignment becomes more prevalent at decreasing clustercentric distance, as suggested by both our and previous work. We investigate and discuss potential causes for the disparity between our findings based on HST images of clusters at z>0.5 and those obtained using groundbased images of systems at z~0.1. We conclude that the most likely explanation is either dramatic evolution with redshift (in the sense that radial alignments are less pronounced in dynamically younger systems) or the presence of systematic biases in the analysis of SDSS imaging data that cause at least partly spurious alignment signals.