Constraining cosmology with weak lensing voids

Davies, Christopher T.; Cautun, Marius; Giblin, Benjamin; Li, Baojiu; Harnois-Déraps, Joachim; Cai, Yan-Chuan

doi:10.1093/mnras/stab2251

Cited by 26 publications

(13 citation statements)

References 74 publications

(84 reference statements)

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“…Another influential factor is the 𝜎 8 parameter for determining the matter content (Nadathur et al 2019) and the lensing convergence (see e.g. Davies et al 2021) of voids; its value in the MICE simulation (𝜎 8 = 0.8) is quite close to the best-fit Planck 2018 value (𝜎 8 = 0.811 ± 0.006). Consequently, the CMB 𝜅 signal in MICE is expected to be weaker than from a Planck cosmology, due to an approximate 𝐶 g𝜅 ℓ ∼ Ω 0.78 m 𝜎 8 scaling with the most relevant cosmological parameters of the basic ΛCDM model, as determined by Hang et al (2021a) considering a similar redshift range (there is also an estimated weaker 𝐴 𝜅 ∼ ℎ 0.24 scaling with the Hubble constant).…”

Section: Simulations Of Galaxy Catalogues and 𝜅 Mapsmentioning

confidence: 77%

“…In particular, under-dense environments are prime candidates to detect differences between the standard and alternative cosmological models, and thus probe the nature of gravity (see e.g. Clampitt et al 2013;Cai et al 2015;Pollina et al 2015;Cautun et al 2018;Baker et al 2018;Schuster et al 2019;Davies et al 2021).…”

mentioning

confidence: 99%

“…Besides, the observational efforts from galaxy survey data are supported by signal-to-noise (S/N) optimisation efforts using N-body simulations, and detailed probes of the signal characteristics given different void definitions (see e.g. Cautun et al 2016;Davies et al 2018Davies et al , 2021.…”

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confidence: 99%

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Dark Energy Survey Year 3 results: Imprints of cosmic voids and superclusters in the Planck CMB lensing map

Kovács

Vielzeuf

Ferrero

et al. 2022

Monthly Notices of the Royal Astronomical Society

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The CMB lensing signal from cosmic voids and superclusters probes the growth of structure in the low-redshift cosmic web. In this analysis, we cross-correlated the Planck CMB lensing map with voids detected in the Dark Energy Survey Year 3 (Y3) data set (∼5,000 deg2), expanding on previous measurements that used Y1 catalogues (∼1,300 deg2). Given the increased statistical power compared to Y1 data, we report a 6.6σ detection of negative CMB convergence (κ) imprints using approximately 3,600 voids detected from a redMaGiC luminous red galaxy sample. However, the measured signal is lower than expected from the MICE N-body simulation that is based on the ΛCDM model (parameters Ωm = 0.25, σ8 = 0.8), and the discrepancy is associated mostly with the void centre region. Considering the full void lensing profile, we fit an amplitude Aκ = κDES4pt/κMICE4pt to a simulation-based template with fixed shape and found a moderate 2σ deviation in the signal with Aκ ≈ 0.79 ± 0.12. We also examined the WebSky simulation that is based on a Planck 2018 ΛCDM cosmology, but the results were even less consistent given the slightly higher matter density fluctuations than in MICE. We then identified superclusters in the DES and the MICE catalogues, and detected their imprints at the 8.4σ level; again with a lower-than-expected Aκ = 0.84 ± 0.10 amplitude. The combination of voids and superclusters yields a 10.3σ detection with an Aκ = 0.82 ± 0.08 constraint on the CMB lensing amplitude, thus the overall signal is 2.3σ weaker than expected from MICE.

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Section: Simulations Of Galaxy Catalogues and 𝜅 Mapsmentioning

confidence: 77%

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confidence: 99%

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Dark Energy Survey Year 3 results: Imprints of cosmic voids and superclusters in the Planck CMB lensing map

Kovács

Vielzeuf

Ferrero

et al. 2022

Monthly Notices of the Royal Astronomical Society

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“…Emulation has since been applied to predict various other physical and observable quantities, such as the galaxy correlation function (Zhai et al 2019), halo mass function (McClintock et al 2019;Bocquet et al 2020), lensing shear correlation function (Harnois-Deraps et al 2019), or weak lensing peaks (Harnois-Déraps et al 2021) and voids (Davies et al 2021) statistics. These are enabled by dedicated suites of numerical simulations such as the (DeRose et al 2019), cosmo-SLICS (Harnois-Deraps et al 2019 and MassiveNuS (Liu et al 2018) projects.…”

Section: Introductionmentioning

confidence: 99%

FORGE -- the f(R) gravity cosmic emulator project I: Introduction and matter power spectrum emulator

Arnold¹,

Li²,

Giblin³

et al. 2021

Preprint

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We present a large suite of cosmological simulations, the FORGE (F-of-R Gravity Emulator) simulation suite, which is designed to build accurate emulators for cosmological observables in galaxy clustering, weak gravitational lensing and galaxy clusters, for the 𝑓 (𝑅) gravity model. The total of 200 simulations explore the cosmological parameter space around the Planck Collaboration et al. ( 2020) cosmology with a Latin hypercube, for 50 combinations of fR0 , Ω m , 𝜎 8 and ℎ with all other parameters fixed. For each parameter combination, or node, we ran four independent simulations, one pair using 1024 3 particles in 500 ℎ −1 Mpc simulation boxes to cover small scales, and another pair using 512 3 simulation particles in 1.5 ℎ −1 Gpc boxes for larger scales. Each pair of initial conditions are selected such that sample variance on large scales is minimised on average. In this work we present an accurate emulator for the matter power spectrum in 𝑓 (𝑅)-gravity trained on FORGE. We have verified, using the crossvalidation technique, that the emulator accuracy is better than 2.5% for the majority of nodes, particularly around the center of the explored parameter space, up to scales of 𝑘 = 10 ℎMpc −1 . We have also checked the power spectrum emulator against simulations which are not part of our training set and found excellent agreement. Due to its high accuracy on small scales, the FORGE matter power spectrum emulator is well suited for weak lensing analysis and can play a key tool in constraining 𝑓 (𝑅)-gravity using current and future observational data.

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“…This includes void number counts as function a of size [28][29][30][31][32], void density profiles (void-halo correlation function) [33][34][35][36] and void dynamics and velocity profiles [37,38]. The impact of voids on weak gravitational lensing [39][40][41][42][43], redshift space distortions and gravitational redshift effects [44][45][46][47][48][49], the integrated Sachs-Wolfe effect [50], and the kinetic Sunyaev-Zel'dovich effect [51] have also been studied.…”

Section: Introductionmentioning

confidence: 99%

Testing $f(R)$ Gravity With Scale Dependent Cosmic Void Velocity Profiles

Wilson,

Bean

2020

Preprint

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We study the impact of cosmological scale modifications to General Relativity on the dynamics of halos within voids by comparing N-body simulations incorporating Hu-Sawicki f (R) gravity, with | f R0 | = 10 −6 and 10 −5 , to those of ΛCDM. By examining the radial velocity statistics within voids classified based on their size and density-profile, as "rising" (R-type) or "shell" (S -type), we find that halo motions in small R-type voids, with effective radius < 15M pc/h, reveal distinctive differences between f (R) and ΛCDM cosmologies.To understand this observed effect, we study the linear and nonlinear fifth forces, and develop an iterative algorithm to accurately solve the non-linear fifth force equation. We use this to characterize the Chameleon screening mechanism in voids and contrast the behavior with that observed in gravitationally collapsed objects.The force analysis underscores how smaller R-type voids exhibit the highest ratios of fifth force to Newtonian force, which source distinguishable differences in the velocity profiles and thereby provide rich environments in which to constrain gravity.

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Constraining cosmology with weak lensing voids

Cited by 26 publications

References 74 publications

Dark Energy Survey Year 3 results: Imprints of cosmic voids and superclusters in the Planck CMB lensing map

Dark Energy Survey Year 3 results: Imprints of cosmic voids and superclusters in the Planck CMB lensing map

FORGE -- the f(R) gravity cosmic emulator project I: Introduction and matter power spectrum emulator

Testing $f(R)$ Gravity With Scale Dependent Cosmic Void Velocity Profiles

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