First Evidence of Intrinsic Alignments of Red Galaxies at $z &gt; 1$: Cross-correlation between CFHTLenS and FastSound Samples

Tonegawa, Motonari; Okumura, Teppei

doi:10.48550/arxiv.2109.14297

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…intrinsic alignment signal from the total signal, but in some recent work (e.g. Mandelbaum et al 2011;Tonegawa & Okumura 2021), they already measured intrinsic alignment signal from real data. And there are some theoretical works suggest that the intrinsic alignment signal could be a new tool to constrain the cosmological parameters or study dynamical aspects of galaxy evolution models (e.g.…”

Section: Discussionmentioning

confidence: 99%

Forecast of Neutrino Cosmology from the CSST Photometric Galaxy Clustering and Cosmic Shear Surveys

Lin¹,

Gong²,

Chen³

et al. 2022

Preprint

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China Space Station Telescope (CSST) is a forthcoming powerful Stage IV space-based optical survey equipment. It is expected to explore a number of important cosmological problems in extremely high precision. In this work, we focus on investigating the constraints on neutrino mass and other cosmological parameters under the model of cold dark matter with a constant equation of state of dark energy (𝑤CDM), using the mock data from the CSST photometric galaxy clustering and cosmic shear surveys (i.e. 3×2pt). The systematics from galaxy bias, photometric redshift uncertainties, intrinsic alignment, shear calibration, baryonic feedback, non-linear, and instrumental effects are also included in the analysis. We generate the mock data based on the COSMOS catalog considering the instrumental and observational effects of the CSST, and make use of the Markov Chain Monte Carlo (MCMC) method to perform the constraints. Comparing to the results from current similar measurements, we find that CSST 3×2pt surveys can improve the constraints on the cosmological parameters by one order of magnitude at least. We can obtain an upper limit for the sum of neutrino mass Σ𝑚 𝜈 0.36 (0.56) eV at 68% (95%) confidence level, and Σ𝑚 𝜈 0.23 (0.29) eV at 68% (95%) confidence level if ignore the baryonic effect, which is comparable to the Planck results and much better than the current photometric surveys. This indicates that the CSST photometric surveys can provide stringent constraints on the neutrino mass and other cosmological parameters, and the results also can be further improved by including data from other kinds of CSST cosmological surveys.

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Section: Discussionmentioning

confidence: 99%

Forecast of Neutrino Cosmology from the CSST Photometric Galaxy Clustering and Cosmic Shear Surveys

Lin¹,

Gong²,

Chen³

et al. 2022

Preprint

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“…Intrinsic alignment (IA) of galaxy shapes, originally focused as a contaminant to gravitational lensing signals (Croft & Metzler 2000;Heavens et al 2000;Hirata & Seljak 2004;Mandelbaum et al 2006;Hirata et al 2007;Blazek et al 2011;Troxel & Ishak 2015;Tonegawa & Okumura 2021), has been drawing attention as a new dynamical and geometric probe of cosmology (e.g., Chisari & Dvorkin 2013;Okumura et al 2019;Kurita et al 2021;Reischke et al 2021;Okumura & Taruya 2021). However, such a possibility has been explored merely by forecast studies or numerical simulations based on the ΛCDM model.…”

Section: Introductionmentioning

confidence: 99%

Distinguishing between $Λ$CDM and $f(R)$ gravity models using halo ellipticity correlations in simulations

Chuang¹,

Okumura²,

Shirasaki³

2021

Preprint

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There is a growing interest of utilizing intrinsic alignment (IA) of galaxy shapes as a geometric and dynamical probe of cosmology. In this paper we present the first measurements of IA in a modified gravity model using the gravitational shear-intrinsic ellipticity correlation (GI) and intrinsic ellipticity-ellipticity correlation (II) functions of dark-matter halos from 𝑓 (𝑅) gravity simulations. By comparing them with the same statistics measured in ΛCDM simulations, we find that the IA statistics in different gravity models show distinguishable features, with a trend similar to the case of conventional galaxy clustering statistics. Thus, the GI and II correlations are found to be useful in distinguishing between the ΛCDM and 𝑓 (𝑅) gravity models. More quantitatively, IA statistics enhance detectability of the imprint of f(R) gravity on large scale structures by ∼ 20% when combined with the conventional halo clustering in redshift space. Our results demonstrate the usefulness of IA statistics as a probe of gravity beyond a consistency test of ΛCDM and general relativity.

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“…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]. Although IA has not yet been detected for ELG [47,[66][67][68], recent work [69] has proposed an effective estimator to determine the IA of dark-matter halos using ELG, enhancing the signal-to-noise ratio at a statistically significant level. In any case, the accurate determination of galaxy shapes is of critical importance for IA to be a powerful tool to constrain cosmology.…”

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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First Evidence of Intrinsic Alignments of Red Galaxies at $z > 1$: Cross-correlation between CFHTLenS and FastSound Samples

Cited by 3 publications

References 34 publications

Forecast of Neutrino Cosmology from the CSST Photometric Galaxy Clustering and Cosmic Shear Surveys

Forecast of Neutrino Cosmology from the CSST Photometric Galaxy Clustering and Cosmic Shear Surveys

Distinguishing between $Λ$CDM and $f(R)$ gravity models using halo ellipticity correlations in simulations

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

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