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Improving geometric and dynamical constraints on cosmology with intrinsic alignments of galaxies
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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.
Forward citations
Cited by 2 Pith papers
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SHAPE: cosmology with cluster halo intrinsic alignments from subhalo distributions
Cluster shapes reconstructed from subhalo positions yield intrinsic alignment correlations that trace the cosmic web, but the claimed unbiased recovery of the growth rate is not supported by all three simulation realizations.
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Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis
A Fisher forecast shows that adding full-shape intrinsic alignment information to galaxy clustering tightens cosmological constraints, particularly for dark energy and non-flat modified-gravity models.
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