English

Testing the Impact of Satellite Anisotropy on Large and Small Scale Intrinsic Alignments using Hydrodynamical Simulations

Cosmology and Nongalactic Astrophysics 2019-12-16 v3

Abstract

Galaxy intrinsic alignments (IAs) have long been recognised as a significant contaminant to weak lensing-based cosmological inference. In this paper we seek to quantify the impact of a common modelling assumption in analytic descriptions of intrinsic alignments: that of spherically symmetric dark matter halos. Understanding such effects is important as the current generation of intrinsic alignment models are known to be limited, particularly on small scales, and building an accurate theoretical description will be essential for fully exploiting the information in future lensing data. Our analysis is based on a catalogue of 113,560 galaxies between z=0.061.00z=0.06-1.00 from MassiveBlack-II, a hydrodynamical simulation of box length 100h1100 h^{-1} Mpc. We find satellite anisotropy contributes at the level of 3040%\geq 30-40\% to the small scale alignment correlation functions. At separations larger than 1h11 h^{-1} Mpc the impact is roughly scale-independent, inducing a shift in the amplitude of the IA power spectra of 20%\sim20\%. These conclusions are consistent across the redshift range and between the MassiveBlack-II and Illustris simulations. The cosmological implications of these results are tested using a simulated likelihood analysis. Synthetic cosmic shear data is constructed with the expected characteristics (depth, area and number density) of a future LSST-like survey. Our results suggest that modelling alignments using a halo model based upon spherical symmetry could potentially induce cosmological parameter biases at the 1.5σ\sim 1.5\sigma level for S8S_8 and ww.

Keywords

Cite

@article{arxiv.1901.09925,
  title  = {Testing the Impact of Satellite Anisotropy on Large and Small Scale Intrinsic Alignments using Hydrodynamical Simulations},
  author = {S. Samuroff and R. Mandelbaum and T. Di Matteo},
  journal= {arXiv preprint arXiv:1901.09925},
  year   = {2019}
}

Comments

20 pages, 13 figures; accepted by MNRAS