Imprint of anisotropic primordial non-Gaussianity on halo intrinsic alignments in simulations

Akitsu, Kazuyuki; Kurita, Toshiki; Nishimichi, Takahiro; Takada, Masahiro; Tanaka, Satoshi

doi:10.1103/physrevd.103.083508

Cited by 27 publications

(22 citation statements)

References 52 publications

(63 reference statements)

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“…Recently, this was confirmed in full N -body simulation by Ref. [70]. Remarkably, no matter how large f NL is, it does not contaminate the second shape moment at large scales where the non-linear evolution is negligible.…”

Section: Introductionmentioning

confidence: 64%

Galaxy imaging surveys as spin-sensitive detector for cosmological colliders

Kogai,

Akitsu,

Schmidt

et al. 2020

Preprint

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Galaxy imaging surveys provide us with information on both the galaxy distribution and their shapes. In this paper, we systematically investigate the sensitivity of galaxy shapes to new physics in the initial conditions. For this purpose, we decompose the galaxy shape function into spin components, and compute the contributions to each spin component from both intrinsic alignment and weak lensing. We then consider the angular-dependent primordial non-Gaussianity, which is generated by a non-zero integer spin particle when active during inflation, and show that a galaxy imaging survey essentially functions as a spin-sensitive detector of such particles in the early universe. We also perform a forecast of the PNG generated from a higher spin particle, considering a Rubin Observatory LSST-like galaxy survey.

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Section: Introductionmentioning

confidence: 64%

Galaxy imaging surveys as spin-sensitive detector for cosmological colliders

Kogai,

Akitsu,

Schmidt

et al. 2020

Preprint

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“…Fig. 6 shows how the the window convolution affects the quadrupole moments of the cross power spectrum, P (L=2) γδ , which carries a leading signal of the PNG effect [54]. It is clear that the survey window effect for the BOSS-like survey is significant.…”

Section: Discussionmentioning

confidence: 99%

“…An obvious application of our method is to explore the spin-2, local-type anisotropic primordial non-Gaussianity (PNG) from the power spectrum of the projected tensor field, which carries an independent information from the isotropic PNG in the density tracer [54]. Note that, to explore the PNG signal, the power spectrum analysis is needed, and the correlation function in configuration space is not suitable [5].…”

Section: Discussionmentioning

confidence: 99%

Analysis method for 3D power spectrum of projected tensor field with fast estimator and window convolution modelling: an application to intrinsic alignments

Kurita,

Takada

2022

Preprint

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Rank-2 tensor fields of large-scale structure, e.g. a tensor field inferred from shapes of galaxies, open up a window to directly access 2 scalar, 2 vector and 2 tensor modes, where the scalar fields can be measured independently from the standard density field that is traced by distribution of galaxies.Here we develop an estimator of the multipole moments of coordinate-independent power spectra for the three-dimensional tensor field, taking into account the projection of the tensor field onto plane perpendicular to the line-of-sight direction. To do this, we find that a convenient representation of the power spectrum multipoles can be obtained by the use of the associated Legendre polynomials L m L (µ), instead of the standard one L (µ), in the form which allows for the fast Fourier transform estimations under the local plane-parallel (LPP) approximation. The formulation also allows us to obtain the Hankel transforms to connect the two-point statistics in Fourier and configuration space, which are needed to derive theoretical templates of the power spectrum including convolution of a survey window. To validate our estimators, we use the simulation data of the projected tidal field assuming a survey window that mimics the BOSS-like survey footprint. We show that the LPP estimators fairly well recover the multipole moments that are inferred from the global plane-parallel approximation. We find that the survey window causes a more significant change in the multipole moments of projected tensor power spectrum at k 0.1 hMpc −1 from the input power spectrum, than in the density power spectrum. Nevertheless, the theoretical predictions including the survey window effects match the window-convolved multipole moments measured from the simulations. The analysis method presented here paves the way for a cosmological analysis using three-dimensional tensor-type tracers of large-scale structure for current and future surveys.

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“…The IA was originally proposed as a source of systematic effects on the measurement of the cosmological gravitational lensing [39][40][41][42][43][44][45][46][47][48][49][50][51][52]. However, since the spatial correlation of IA follows the gravitational tidal field induced by the LSS, it contains valuable information and is considered as a cosmological probe complimentary to the galaxy clustering [53][54][55][56][57][58][59][60][61][62]. Ongoing and future galaxy surveys focus on observing LSS at higher redshifts, z > 1, at which the emission line galaxies (ELG) would be an ideal tracer of the LSS [18][19][20][63][64][65].…”

Section: Introductionmentioning

confidence: 99%

Tightening geometric and dynamical constraints on dark energy and gravity: galaxy clustering, intrinsic alignment and kinetic Sunyaev-Zel'dovich effect

Okumura

Taruya²

2021

Preprint

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Conventionally, in galaxy surveys, cosmological constraints on the growth and expansion history of the universe have been obtained from the measurements of redshift-space distortions and baryon acoustic oscillations embedded in the large-scale galaxy density field. In this paper, we study how well one can improve the cosmological constraints from the combination of the galaxy density field with velocity and tidal fields, which are observed via the kinetic Sunyaev-Zel'dovich (kSZ) and galaxy intrinsic alignment (IA) effects, respectively. For illustration, we consider the deep galaxy survey by Subaru Prime Focus Spectrograph, whose survey footprint perfectly overlaps with the imaging survey of the Hyper Suprime-Cam and the CMB-S4 experiment. We find that adding the kSZ and IA effects significantly improves cosmological constraints, particularly when we adopt the non-flat cold dark matter model which allows both time variation of the dark energy equation-of-state and deviation of the gravity law from general relativity. Under this model, we achieve 31% improvement for the growth index γ and > 35% improvement for other parameters except for the curvature parameter, compared to the case of the conventional galaxy-clustering-only analysis. As another example, we also consider the wide galaxy survey by the Euclid satellite, in which shapes of galaxies are noisier but the survey volume is much larger. We demonstrate that when the above model is adopted, the clustering analysis combined with kSZ and IA from the deep survey can achieve tighter cosmological constraints than the clustering-only analysis from the wide survey.

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Imprint of anisotropic primordial non-Gaussianity on halo intrinsic alignments in simulations

Cited by 27 publications

References 52 publications

Galaxy imaging surveys as spin-sensitive detector for cosmological colliders

Galaxy imaging surveys as spin-sensitive detector for cosmological colliders

Analysis method for 3D power spectrum of projected tensor field with fast estimator and window convolution modelling: an application to intrinsic alignments

Tightening geometric and dynamical constraints on dark energy and gravity: galaxy clustering, intrinsic alignment and kinetic Sunyaev-Zel'dovich effect

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