English

Advances in Constraining Intrinsic Alignment Models with Hydrodynamic Simulations

Cosmology and Nongalactic Astrophysics 2021-09-22 v1

Abstract

We use galaxies from the IllustrisTNG, MassiveBlack-II and Illustris hydrodynamic simulations to investigate the behaviour of large scale galaxy intrinsic alignments. Our analysis spans four redshift slices over the approximate range of contemporary lensing surveys z=01z=0-1. We construct comparable weighted samples from the three simulations, which we then analyse using an alignment model that includes both linear and quadratic alignment contributions. Our data vector includes galaxy-galaxy, galaxy-shape and shape-shape projected correlations, with the joint covariance matrix estimated analytically. In all of the simulations, we report non-zero IAs at the level of several σ\sigma. For a fixed lower mass threshold, we find a relatively strong redshift dependence in all three simulations, with the linear IA amplitude increasing by a factor of 2\sim 2 between redshifts z=0z=0 and z=1z=1. We report no significant evidence for non-zero values of the tidal torquing amplitude, A2A_2, in TNG, above statistical uncertainties, although MassiveBlack-II favours a moderately negative A22A_2\sim-2. Examining the properties of the TATT model as a function of colour, luminosity and galaxy type (satellite or central), our findings are consistent with the most recent measurements on real data. We also outline a novel method for constraining the TATT model parameters directly from the pixelised tidal field, alongside a proof of concept exercise using TNG. This technique is shown to be promising, although the comparison with previous results obtained via other methods is non-trivial.

Keywords

Cite

@article{arxiv.2009.10735,
  title  = {Advances in Constraining Intrinsic Alignment Models with Hydrodynamic Simulations},
  author = {S. Samuroff and R. Mandelbaum and J. Blazek},
  journal= {arXiv preprint arXiv:2009.10735},
  year   = {2021}
}

Comments

28 pages, 18 Figures; submitted to MNRAS

R2 v1 2026-06-23T18:43:39.275Z