Analysis method for 3D power spectrum of projected tensor fields with fast estimator and window convolution modeling: An application to intrinsic alignments

Kurita, Toshiki; Takada, Masahiro

doi:10.1103/physrevd.105.123501

Cited by 9 publications

(8 citation statements)

References 84 publications

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“…The prescription for how to perform such projection was presented in [43]. Galaxy shapes can then be described in a basis of E and B-modes and estimated from the actual data [44], similarly to the polarization of the cosmic microwave background [45]. These results will be used and discussed at length in this paper.…”

Section: Jcap10(2023)005mentioning

confidence: 99%

“…We adopt a specific line of sight n (which we will take to coincide with the z-axis) along which a population of tracers is observed. We make use of the flat-sky (or plane-parallel) approximation, in which the region of the sky that is being observed is approximately planar and perpendicular to the line of sight (see [43,44] for similar treatments). We can thus treat the line of sight as a fixed vector.…”

Section: Power Spectra Of Projected Shape Fieldsmentioning

confidence: 99%

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Effective field theory of intrinsic alignments at one loop order: a comparison to dark matter simulations

Bakx,

Kurita,

Elisa Chisari

et al. 2023

J. Cosmol. Astropart. Phys.

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We test the regime of validity of the effective field theory (EFT) of intrinsic alignments (IA) at the one-loop level by comparing with 3D halo shape statistics in N-body simulations. This model is based on the effective field theory of large-scale structure (EFT of LSS) and thus a theoretically well-motivated extension of the familiar non-linear alignment (NLA) model and the tidal-alignment-tidal-torquing (TATT) model. It contains a total of 8 free bias parameters. Specifically, we measure the dark matter halo shape-shape multipoles P EE (0) (k), P EE (2) (k), P BB (0) (k), P BB (2) (k) as well as the matter-shape multipoles P δE (0) (k), P δE (2) (k) from the simulations and perform a joint fit to determine the largest wavenumber k max up to which the theory predictions from the EFT of IA are consistent with the measurements. We find that the EFT of IA is able to describe intrinsic alignments of dark matter halos up to k max = 0.30 h/Mpc at z = 0. This demonstrates a clear improvement over other existing alignment models like NLA and TATT, which are only accurate up to k max = 0.05 h/Mpc. We examine the posterior distributions of the higher-order bias parameters, and show that their inclusion is necessary to describe intrinsic alignments in the quasi-linear regime. Further, the EFT of IA is able to accurately describe the auto-spectrum of intrinsic alignment B-modes, in contrast to the other alignment models considered.

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Section: Jcap10(2023)005mentioning

confidence: 99%

Section: Power Spectra Of Projected Shape Fieldsmentioning

confidence: 99%

Effective field theory of intrinsic alignments at one loop order: a comparison to dark matter simulations

Bakx,

Kurita,

Elisa Chisari

et al. 2023

J. Cosmol. Astropart. Phys.

Self Cite

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“…x  , can be expressed by a Hankel transform. Since correlation functions of the projected shape are naturally expressed by the associated Legendre polynomial basis (Kurita & Takada 2022), the nonlinear model of g ℓ s ,…”

Section: Intrinsic Alignment Correlationsmentioning

confidence: 99%

First Constraints on Growth Rate from Redshift-space Ellipticity Correlations of SDSS Galaxies at 0.16 < z < 0.70

Okumura

Taruya

2023

ApJL

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We report the first constraints on the growth rate of the universe, f(z)σ 8(z), with intrinsic alignments (IAs) of galaxies. We measure the galaxy density-intrinsic ellipticity cross-correlation and intrinsic ellipticity autocorrelation functions over 0.16 < z < 0.7 from luminous red galaxies (LRGs) and LOWZ and CMASS galaxy samples in the Sloan Digital Sky Survey (SDSS) and SDSS-III BOSS survey. We detect clear anisotropic signals of IA due to redshift-space distortions. By combining measured IA statistics with the conventional galaxy clustering statistics, we obtain tighter constraints on the growth rate. The improvement is particularly prominent for the LRG, which is the brightest galaxy sample and known to be strongly aligned with underlying dark matter distribution; using the measurements on scales above 10 h −1 Mpc, we obtain f σ 8 = 0.5196 − 0.0354 + 0.0352 (68% confidence level) from the clustering-only analysis and f σ 8 = 0.5322 − 0.0291 + 0.0293 with clustering and IA, meaning 19% improvement. The constraint is in good agreement with the prediction of general relativity, f σ 8 = 0.4937 at z = 0.34. For LOWZ and CMASS samples, the improvement of constraints on f σ 8 is found to be 10% and 3.5%, respectively. Our results indicate that the contribution from IA statistics for cosmological constraints can be further enhanced by carefully selecting galaxies for a shape sample.

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“…Similarly to ξ s gg, , multipole moments of the GI correlation, ξ s g+, , can be expressed by a Hankel transform. Since correlation functions of the projected shape are naturally expressed by the associated Legendre polynomial basis (Kurita & Takada 2022), the nonlinear model involving the FoG factor produces infinite series for each Legendre multipole. We computed the expansion up to the twelfth order and confirmed the convergence of the formula.…”

Section: Intrinsic Alignment Correlationsmentioning

confidence: 99%

First Constraints on Growth Rate from Redshift-Space Ellipticity Correlations of SDSS Galaxies at $0.16 < z < 0.70$

Okumura¹,

Taruya²

2023

Preprint

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We report the first constraints on the growth rate of the universe, f (z)σ 8 (z), with intrinsic alignments (IA) of galaxies. We measure the galaxy density-intrinsic ellipticity cross-correlation and intrinsic ellipticity auto-correlation functions over 0.16 < z < 0.7 from luminous red galaxies (LRG) and LOWZ and CMASS galaxy samples in the Sloan Digital Sky Survey (SDSS) and SDSS-III BOSS survey. We detect clear anisotropic signals of IA due to redshift-space distortions. By combining measured IA statistics with the conventional galaxy clustering statistics, we obtain tighter constraints on the growth rate. The improvement is particularly prominent for the LRG, which is the brightest galaxy sample and known to be strongly aligned with underlying dark matter distribution; we obtain f σ 8 = 0.5297 +0.0310 −0.0316 (68% C.L.) from the clustering-only analysis and f σ 8 = 0.4871 +0.0218 −0.0222 with clustering and IA, meaning 24% improvement. The constraint is in good agreement with the prediction of general relativity, f σ 8 = 0.4937 at z = 0.34. For LOWZ and CMASS samples, the improvement by adding the IA statistics is found to be 9% and 2%, respectively. Our results indicate that the contribution from IA statistics for cosmological constraints can be further enhanced by carefully selecting galaxies for a shape sample.

show abstract

Analysis method for 3D power spectrum of projected tensor fields with fast estimator and window convolution modeling: An application to intrinsic alignments

Cited by 9 publications

References 84 publications

Effective field theory of intrinsic alignments at one loop order: a comparison to dark matter simulations

Effective field theory of intrinsic alignments at one loop order: a comparison to dark matter simulations

First Constraints on Growth Rate from Redshift-space Ellipticity Correlations of SDSS Galaxies at 0.16 < z < 0.70

First Constraints on Growth Rate from Redshift-Space Ellipticity Correlations of SDSS Galaxies at $0.16 < z < 0.70$

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