Assembly bias and the redshift evolution of intrinsic alignments for LRGs
A. Herle, N. E. Chisari, H. Hoekstra, D. Neumann
astro-ph.CO
Submitted: 2026-07-01
Code: https://github.com/elizabethjg/IACorr
License: http://creativecommons.org/licenses/by/4.0/
The gist: The intrinsic alignment (IA) of galaxies is one of the main contaminants to the weak lensing shear signal.
Terminology
Abstract
The intrinsic alignment (IA) of galaxies is one of the main contaminants to the weak lensing shear signal. Efforts to model it often assume that the alignment strength depends only on halo mass. In this work, we use the 2.8 Gpc box-size run of the suite to show that alignment amplitude, in addition to halo mass, depends on the formation redshift of the host haloes for an LRG-like sample. We show that the assembly histories of galaxies and haloes influence the alignment signal. After correcting for their mass evolution, we find that haloes that formed earlier have a higher alignment amplitude, as do their central galaxies. We also explore the redshift evolution of the alignment signal by fitting the amplitude with a power-law in mass at different snapshots of the simulation. We find that the amplitude of this power-law increases steadily with redshift, while the slope decreases with redshift until z about1 and then flattens. We provide an empirical mass-redshift intrinsic alignment model fit on the simulation. Furthermore, by tracking central galaxies across snapshots, we show that the alignment signal changes with redshift beyond that associated with the change in mass, and that galaxies tracked from higher redshifts have a larger amplitude. Our results indicate that IA modeling in weak lensing surveys cannot have arbitrarily small prior ranges, and complicate the implementation of HOD-based alignment models for gravity-only simulations. They also provide simulation-based guidelines for a redshift evolution model of IA for use in observational studies.
Sources
- COLIBRE: calibrating subgrid feedback in cosmological simulations that include a cold gas phase
- Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear
- Euclid Quick Data Release (Q1). Galaxy shapes and alignments in the cosmic web
- Euclid Definition Study Report
- Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation
- Assessing subhalo finders in cosmological hydrodynamical simulations
- The FLAMINGO simulations data release
- Unbiased estimates of the shapes of haloes using the positions of satellite galaxies
- Intrinsic alignments in the FLAMINGO simulations with two-point statistics
- LSST Science Book, Version 2.0
- SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications
- The COLIBRE project: cosmological hydrodynamical simulations of galaxy formation and evolution
- Intrinsic alignment of disks and ellipticals across hydrodynamical simulations
- Three-point intrinsic alignments of galaxies and haloes in the FLAMINGO simulations
- KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey
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