Improving geometric and dynamical constraints on cosmology with intrinsic alignments of galaxies

Abstract

We show that the spatial correlation of the intrinsic alignments (IAs) of galaxies, measured in galaxy redshift surveys, offers a precision route to improve the geometrical and dynamical constraints on cosmology. The IA has been treated as a contaminant against cosmological probes such as weak gravitational lensing experiments. However, the large-scale correlation of IAs is expected to follow the coherent large-scale matter inhomogeneities. Here, making use of its anisotropic nature, we show that the large-scale IA correlations help to improve the measurements of the geometric distances and growth of structure. In combination with the conventional galaxy clustering statistics, we find that constraints on equation-of-state parameter for dark energy and Hubble parameter can be tighter than those from the clustering statistics alone by a factor of more than 1.5.

6 pages, 4 figures, updated to match version published in ApJL

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Cited by in corpus (41)

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• Tightening geometric and dynamical constraints on dark energy and gravity: galaxy clustering, intrinsic alignment and kinetic Sunyaev-Zel'dovich effect
• Cosmological simulation in tides: power spectra and halo shape responses, and shape assembly bias
• Galaxy shape statistics in the effective field theory
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• Testing tidal alignment models for anisotropic correlations of halo ellipticities with N-body simulations
• Forecast of Neutrino Cosmology from the CSST Photometric Galaxy Clustering and Cosmic Shear Surveys
• Constraints on anisotropic primordial non-Gaussianity from intrinsic alignments of SDSS-III BOSS galaxies
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• Anisotropic separate universe simulations
• An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation
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• Statistical anisotropy in galaxy ellipticity correlations
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