# Intrinsic Alignment in redMaPPer clusters -- II. Radial alignment of   satellites toward cluster centers

**Authors:** Hung-Jin Huang, Rachel Mandelbaum, Peter E. Freeman, Yen-Chi Chen,, Eduardo Rozo, Eli Rykoff

arXiv: 1704.06273 · 2018-01-23

## TL;DR

This study investigates the radial alignment of satellite galaxies in clusters, revealing dependencies on galaxy properties and measurement methods, and providing insights into the physical mechanisms behind satellite alignment.

## Contribution

It introduces a comprehensive analysis of satellite galaxy alignment using multiple shape measurement techniques and explores 17 galaxy and cluster properties to identify significant alignment predictors.

## Key findings

- SA strongest in isophotal shapes
- Higher luminosity satellites show significant SA
- SA depends on galaxy properties like shape and distance

## Abstract

We study the orientations of satellite galaxies in redMaPPer clusters constructed from the Sloan Digital Sky Survey at $0.1<z<0.35$ to determine whether there is any preferential tendency for satellites to point radially toward cluster centers. We analyze the satellite alignment (SA) signal based on three shape measurement methods (re-Gaussianization, de Vaucouleurs, and isophotal shapes), which trace galaxy light profiles at different radii. The measured SA signal depends on these shape measurement methods. We detect the strongest SA signal in isophotal shapes, followed by de Vaucouleurs shapes. While no net SA signal is detected using re-Gaussianization shapes across the entire sample, the observed SA signal reaches a statistically significant level when limiting to a subsample of higher luminosity satellites. We further investigate the impact of noise, systematics, and real physical isophotal twisting effects in the comparison between the SA signal detected via different shape measurement methods. Unlike previous studies, which only consider the dependence of SA on a few parameters, here we explore a total of 17 galaxy and cluster properties, using a statistical model averaging technique to naturally account for parameter correlations and identify significant SA predictors. We find that the measured SA signal is strongest for satellites with the following characteristics: higher luminosity, smaller distance to the cluster center, rounder in shape, higher bulge fraction, and distributed preferentially along the major axis directions of their centrals. Finally, we provide physical explanations for the identified dependences, and discuss the connection to theories of SA.

## Full text

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## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/1704.06273/full.md

## References

70 references — full list in the complete paper: https://tomesphere.com/paper/1704.06273/full.md

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Source: https://tomesphere.com/paper/1704.06273