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Improving redshift-space power spectra of halo intrinsic alignments from perturbation theory
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abstract
Intrinsic alignments (IAs) of galaxies/halos observed via galaxy imaging survey, combined with redshift information, offer a novel probe of cosmology as a tracer of the tidal force field of a large-scale structure. In this paper, we present a perturbation theory based model for the redshift-space power spectra of galaxy/halo IAs that can keep the impact of the Finger-of-God damping effect, known as a nonlinear systematics of redshift-space distortions, under control. Focusing particularly on galaxy/halo density and an IA cross power spectrum, we derive analytically the explicit expressions for the next-to-leading order corrections. Comparing the model predictions with $N$-body simulations, we show that these corrections indeed play an important role for an unbiased determination of the growth-rate parameter, and hence the model proposed here can be used for a precision test of gravity on cosmological scales.
Forward citations
Cited by 3 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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Squeezing Full-Shape Dynamical Dark Energy Constraints with Galaxy Alignments
A Fisher forecast shows that including galaxy intrinsic alignments alongside full-shape galaxy clustering improves the dark energy figure-of-merit by 42-57% and the primordial amplitude constraint by 17-19% for a PFS-...
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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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