A halo model for intrinsic alignments of galaxy ellipticities

TL;DR

This paper introduces a halo model for intrinsic galaxy alignments to improve cosmic shear measurements, providing formulas and analyzing the impact on dark energy constraints, emphasizing the importance of accounting for intrinsic alignments.

Contribution

A new halo-based model for intrinsic galaxy alignments that extends small-scale modeling and offers fitting formulas for use in weak lensing analyses.

Findings

Ignoring intrinsic alignments can bias cosmological parameters.

The model predicts significant intrinsic alignment signals at small scales.

Including the model reduces potential biases in dark energy parameter estimates.

Abstract

Correlations between intrinsic ellipticities of galaxies are a potentially important systematic error when constraining dark energy properties from weak gravitational lensing (cosmic shear) surveys. In the absence of perfectly known galaxy redshifts some modeling of the galaxy intrinsic alignments is likely to be required to extract the lensing signal to sufficient accuracy. We present a new model based on the placement of galaxies into dark matter halos. The central galaxy ellipticity follows the large scale potential and, in the simplest case, the satellite galaxies point at the halo center. The two-halo term is then dominated by the linear alignment model and the one-halo term provides a motivated extension of intrinsic alignment models to small scales. We provide fitting formulae for the spatial projected source power spectra for both intrinsic-intrinsic (II) and shear-intrinsic (GI) correlations. We illustrate the potential impact of ignoring intrinsic alignments on cosmological parameter constraints from non-tomographic surveys, finding that sigma_8 could be underestimated by up to the size of the current 1-sigma error bar from cosmic shear if very small scales are included in the analysis. Finally, we highlight areas of interest for numerical simulations of dark matter clustering and galaxy formation that can further constrain the intrinsic alignment signal.