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

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arxiv 2001.05962 v2 pith:7SZAZG6F submitted 2020-01-16 astro-ph.CO

classification astro-ph.CO
keywords constraintslarge-scalealignmentsclusteringcorrelationcosmologydynamicalgalaxies
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SHAPE: cosmology with cluster halo intrinsic alignments from subhalo distributions

    astro-ph.CO 2025-05 reject novelty 6.0 of 10

    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.

  2. Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis

    astro-ph.CO 2024-12 conditional novelty 5.0 of 10

    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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