Intrinsic Alignments of Galaxies in the Illustris Simulation
Stefan Hilbert, Dandan Xu, Peter Schneider, Volker Springel, Mark, Vogelsberger, Lars Hernquist

TL;DR
This study uses the Illustris simulation to analyze how intrinsic galaxy shape alignments depend on properties like mass, luminosity, and measurement method, revealing their potential impact on cosmic shear surveys.
Contribution
It provides a detailed analysis of intrinsic alignments in simulations, highlighting the dependence on galaxy properties and shape measurement techniques, and compares results with tidal alignment models.
Findings
Stronger IA correlations for more massive and luminous galaxies.
Shape measurement method significantly affects IA signal strength.
Intrinsic alignments may contribute less than 1% to observed shear signals.
Abstract
We study intrinsic alignments (IA) of galaxy image shapes within the Illustris cosmic structure formation simulations. We investigate how IA correlations depend on observable galaxy properties such as stellar mass, apparent magnitude, redshift, and photometric type, and on the employed shape measurement method. The correlations considered include the matter density-intrinsic ellipticity (mI), galaxy density-intrinsic ellipticity (dI), gravitational shear-intrinsic ellipticity (GI), and intrinsic ellipticity-intrinsic ellipticity (II) correlations. We find stronger correlations for more massive and more luminous galaxies, as well as for earlier photometric types, in agreement with observations. Moreover, the correlations significantly depend on the choice of shape estimator, even if calibrated to serve as unbiased shear estimators. In particular, shape estimators that down-weight the…
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