Lensing is low: cosmology, galaxy formation or new physics?

Leauthaud, Alexie; Saito, Shun; Hilbert, Stefan; Barreira, Alexandre; More, Surhud; White, Martin; Alam, Shadab; Behroozi, Peter; Bundy, Kevin; Coupon, J.; Erben, T.; Heymans, Catherine; Hildebrandt, Hendrik; Mandelbaum, Rachel; Miller, L.; Moraes, Bruno; Pereira, M. E. S.; Rodríguez-Torres, Sergio; Schmidt, Fabian; Shan, Huanyuan; Viel, Matteo; Villaescusa-Navarro, Francisco

doi:10.1093/mnras/stx258

Cited by 230 publications

(346 citation statements)

References 192 publications

(330 reference statements)

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“…Here Ωm and σ8 are, respectively, the present matter density in units of the critical density, and the root-meansquare (rms) of the linear density fluctuations smoothed on scale of 8h −1 Mpc. The KiDS-450 constraints are in agreement with other cosmic shear studies Joudaki et al 2017a;Troxel et al 2017), galaxy-galaxy lensing (Leauthaud et al 2017), and pre-Planck CMB constraints (Calabrese et al 2017). Understanding such a tension is currently an important aspect of research in the field.…”

supporting

confidence: 87%

KiDS-450: cosmological constraints from weak lensing peak statistics – I. Inference from analytical prediction of high signal-to-noise ratio convergence peaks

Shan

Liu

Hildebrandt

et al. 2017

Monthly Notices of the Royal Astronomical Society

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102

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This paper is the first of a series of papers constraining cosmological parameters with weak lensing peak statistics using ∼ 450 deg 2 of imaging data from the Kilo Degree Survey (KiDS-450). We measure high signal-to-noise ratio (SNR: ν) weak lensing convergence peaks in the range of 3 < ν < 5, and employ theoretical models to derive expected values. These models are validated using a suite of simulations. We take into account two major systematic effects, the boost factor and the effect of baryons on the mass-concentration relation of dark matter haloes. In addition, we investigate the impacts of other potential astrophysical systematics including the projection effects of large scale structures, intrinsic galaxy alignments, as well as residual measurement uncertainties in the shear and redshift calibration. Assuming a flat ΛCDM model, we find constraints for S 8 = σ 8 (Ω m /0.3) 0.5 = 0.746−0.107 according to the degeneracy direction of the cosmic shear analysis and−0.050 based on the derived degeneracy direction of our high-SNR peak statistics. The difference between the power index of S 8 and in Σ 8 indicates that combining cosmic shear with peak statistics has the potential to break the degeneracy in σ 8 and Ω m . Our results are consistent with the cosmic shear tomographic correlation analysis of the same dataset and ∼ 2σ lower than the Planck 2016 results.

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supporting

confidence: 87%

KiDS-450: cosmological constraints from weak lensing peak statistics – I. Inference from analytical prediction of high signal-to-noise ratio convergence peaks

Shan

Liu

Hildebrandt

et al. 2017

Monthly Notices of the Royal Astronomical Society

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102

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“…Various works have found levels of stochasticity that are broadly consistent, using a range of samples and scales in numerical simulations [e.g., [83,84]] and data [e.g., [85][86][87][88][89][90]]. The comparison of lowz galaxy clustering and galaxy-galaxy lensing in DES SV on scales above 4h −1 comoving Mpc provided similar hints of r < 1 ( [91,92], see also [93]).…”

Section: A Results On Bias and Stochasticitymentioning

confidence: 58%

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Gruen¹,

Friedrich²,

Krause³

et al. 2018

Phys. Rev. D

113

114

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We derive cosmological constraints from the probability distribution function (PDF) of evolved large-scale matter density fluctuations. We do this by splitting lines of sight by density based on their count of tracer galaxies, and by measuring both gravitational shear around and counts-in-cells in overdense and underdense lines of sight, in Dark Energy Survey (DES) First Year and Sloan Digital Sky Survey (SDSS) data. Our analysis uses a perturbation theory model [O. Friedrich et al., Phys. Rev. D 98, 023508 (2018)] and is validated using N-body simulation realizations and log-normal mocks. It allows us to constrain cosmology, bias and stochasticity of galaxies with respect to matter density and, in addition, the skewness of the matter density field. From a Bayesian model comparison, we find that the data weakly prefer a connection of galaxies and matter that is stochastic beyond Poisson fluctuations on ≤ 20 arcmin angular smoothing scale. The two stochasticity models we fit yield DES constraints on the matter density Ω m ¼ 0.26 −0.07 for the two stochasticity models), but consistent with each other and with the 3 x 2pt results if stochasticity is at the low end of the posterior range. As an additional test of gravity, counts and lensing in cells allow to compare the skewness S 3 of the matter density PDF to its ΛCDM prediction. We find no evidence of excess skewness in any model or data set, with better than 25 per cent relative precision in the skewness estimate from DES alone.

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“…Outside DES, other studies have also examined potential differences between clustering and lensing. In particular, in [81] the authors perform a galaxy-galaxy lensing measurement around BOSS CMASS spectroscopic galaxies using data from the CFHTLenS and SDSS Stripe 82 surveys, and find the lensing signal to be lower than that expected from the clustering of lens galaxies and predictions from standard models of the galaxy-halo connection. In this study, as expressed in the r values reported above, and more broadly in the DES Y1 cosmological analysis presented in [25], we find the clustering and lensing signals to be consistent within our uncertainties, though we note that the [81] analysis was done on significantly smaller scales.…”

Section: Redmagic Galaxy Biasmentioning

confidence: 99%

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Prat¹,

Sánchez²,

Fang³

et al. 2018

Phys. Rev. D

105

106

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We present galaxy-galaxy lensing measurements from 1321 sq. deg. of the Dark Energy Survey (DES) Year 1 (Y1) data. The lens sample consists of a selection of 660,000 red galaxies with high-precision photometric redshifts, known as redMaGiC, split into five tomographic bins in the redshift range 0.15 < z < 0.9. We use two different source samples, obtained from the METACALIBRATION (26 million galaxies) and IM3SHAPE (18 million galaxies) shear estimation codes, which are split into four photometric redshift bins in the range 0.2 < z < 1.3. We perform extensive testing of potential systematic effects that can bias the galaxy-galaxy lensing signal, including those from shear estimation, photometric redshifts, and * Corresponding author. jprat@ifae.es † Corresponding author. csanchez@ifae.es J. PRAT et al. PHYS. REV. D 98, 042005 (2018) 042005-2 observational properties. Covariances are obtained from jackknife subsamples of the data and validated with a suite of log-normal simulations. We use the shear-ratio geometric test to obtain independent constraints on the mean of the source redshift distributions, providing validation of those obtained from other photo-z studies with the same data. We find consistency between the galaxy bias estimates obtained from our galaxy-galaxy lensing measurements and from galaxy clustering, therefore showing the galaxymatter cross-correlation coefficient r to be consistent with one, measured over the scales used for the cosmological analysis. The results in this work present one of the three two-point correlation functions, along with galaxy clustering and cosmic shear, used in the DES cosmological analysis of Y1 data, and hence the methodology and the systematics tests presented here provide a critical input for that study as well as for future cosmological analyses in DES and other photometric galaxy surveys.

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Lensing is low: cosmology, galaxy formation or new physics?

Cited by 230 publications

References 192 publications

KiDS-450: cosmological constraints from weak lensing peak statistics – I. Inference from analytical prediction of high signal-to-noise ratio convergence peaks

KiDS-450: cosmological constraints from weak lensing peak statistics – I. Inference from analytical prediction of high signal-to-noise ratio convergence peaks

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

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