Mass Dependence of Galaxy-Halo Alignment in LOWZ and CMASS

Abstract

We measure the galaxy-ellipticity (GI) correlations for the Slogan Digital Sky Survey DR12 LOWZ and CMASS samples with the shape measurements from the DESI Legacy Imaging Surveys. We model the GI correlations in an N-body simulation with our recent accurate stellar-halo mass relation from the Photometric object Around Cosmic webs (PAC) method. The large data set and our accurate modeling turns out an accurate measurement of the alignment angle between central galaxies and their host halos. We find that the alignment of central {\textit {elliptical}} galaxies with their host halos increases monotonically with galaxy stellar mass or host halo mass, which can be well described by a power law for the massive galaxies. We also find that central elliptical galaxies are more aligned with their host halos in LOWZ than in CMASS, which might indicate an evolution of galaxy-halo alignment, though future studies are needed to verify this is not induced by the sample selections. In contrast, central {\textit {disk}} galaxies are aligned with their host halos about 10 times more weakly in the GI correlation. These results have important implications for intrinsic alignment (IA) correction in weak lensing studies, IA cosmology, and theory of massive galaxy formation.

9 pages, 4 figures. Published in ApJ

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• Toward a Physical Understanding of Galaxy-Halo Alignment
• Galaxy shapes in Magneticum. I. Connecting stellar and dark matter shapes to dynamical and morphological galaxy properties and the large-scale structure
• Accurate Measurement of the Lensing Magnification by BOSS CMASS Galaxies and Its Implications for Cosmology and Dark Matter
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• UNIONS: a direct measurement of intrinsic alignment with BOSS/eBOSS spectroscopy
• Central galaxy alignments. Dependence on the mass and the large-scale environment
• The AIDA-TNG project: 3D halo shapes
• Evidence for Intrinsic Galaxy Alignments in Ellipticity Autocorrelations out to $100h^{-1}\text{Mpc}$ from SDSS Galaxies with DESI Imaging