REVIEW 7 cited by
KiDS-1000 and DES-Y1 combined: Cosmology from peak count statistics
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
We analyse the fourth data release of the Kilo Degree Survey (KiDS-1000) and extract cosmological parameter constraints based on the cosmic shear peak count statistics. Peaks are identified in aperture mass maps in which the filter is maximally sensitive to angular scales in the range 2-4arcmin, probing deep into the non-linear regime of structure formation. We interpret our results with a simulation-based inference pipeline, sampling over a broad $w$CDM prior volume and marginalising over uncertainties on shape calibration, photometric redshift distribution, intrinsic alignment and baryonic feedback. Our measurements constrain the structure growth parameter and the amplitude of the non-linear intrinsic alignment model to $\Sigma_8 \equiv \sigma_8\left[\Omega_{\rm m}/0.3\right]^{0.60}=0.765^{+0.030}_{-0.030}$ and $A_{\rm IA}= 0.71^{+0.42}_{-0.42}$, respectively, in agreement with previous KiDS-1000 results based on two-point shear statistics. These results are robust against modelling of the non-linear physics, different scale cuts and selections of tomographic bins. The posterior is also consistent with that from the Dark Energy Survey Year-1 peak count analysis presented in Harnois-D\'eraps et al (2021), and hence we jointly analyse both surveys. We obtain $\Sigma_8^{\rm joint} \equiv \sigma_8\left[\Omega_{\rm m}/0.3\right]^{0.57}=0.759^{+0.020}_{-0.017}$, in agreement with the Planck $w$CDM results. The shear-CMB tension on this parameter increases to $3.1\sigma$ when forcing $w=-1.0$, and to $4.1\sigma$ if comparing instead with $S_{8,\Lambda{\rm CDM}}^{\rm joint} = 0.736^{+0.016}_{-0.018}$, one of the tightest constraints to date on this quantity. (abridged)
Forward citations
Cited by 7 Pith papers
-
General Relativistic Entropic Acceleration at the perturbation level: a CLASS implementation and first Boltzmann-code constraints
First full Boltzmann-code implementation of entropic dark energy, with MCMC constraints from CMB+BAO+SN, yields α≈1 and a fit statistically indistinguishable from ΛCDM.
-
DECADE+DES Y3 Weak Lensing Mass Map: A 13,000 deg$^2$ View of Cosmic Structure from 270 Million Galaxies
A 13,000 square degree weak lensing mass map, the largest to date, with a first demonstration of filament detection from lensing alone.
-
Inflation in non-local hybrid metric-Palatini gravity
Non-local hybrid metric-Palatini gravity generically contains ghosts, but a degenerate subclass with metric f(R) gravity plus Palatini non-local terms is ghost-free and can drive slow-roll inflation resembling Starobi...
-
The FLAMINGO project: cosmology with the redshift dependence of weak gravitational lensing peaks
The redshift distribution of high-SNR weak lensing peaks traces massive haloes and is insensitive to baryonic physics, making it a promising cosmological probe for Stage IV surveys.
-
Sign Switching in Dark Sector Coupling Interactions as a Candidate for Resolving Cosmological Tensions
A sign-switching dark-sector coupling, fitted to CMB, DESI BAO, and supernova data, can simultaneously raise H0 and lower S8, but the preference over LambdaCDM depends on using SH0ES-calibrated supernovae.
-
Alleviating cosmological tensions with a hybrid dark sector
A one-parameter interacting dark sector model can shift H0 upward and S8 downward when fit to Planck, DESI and supernova data, but the Bayesian evidence over LambdaCDM is inconclusive without SH0ES calibration.
-
Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference
LSBI approximates simulated likelihoods as linear Gaussians and iteratively refines posteriors, reaching accuracy comparable to neural SBI on CMB power spectrum emulations.
Discussion (0). Continue with ORCID to comment.