The statistics of peaks of weakly non-Gaussian random fields: Effects of bispectrum in two- and three-dimensions
arXiv:2001.05702 · doi:10.1103/PhysRevD.101.043532
Abstract
Analytic expressions for the statistics of peaks of random fields with weak non-Gaussianity are provided. Specifically, the abundance and spatial correlation of peaks are represented by formulas which can be evaluated only by virtually one-dimensional integrals. We assume the non-Gaussianity is weak enough such that it is represented by linear terms of the bispectrum. The formulas are formally given in -dimensional space, and explicitly given in the case of . Some examples of peak statistics in cosmological fields are calculated for the cosmic density field and weak lensing field, assuming the weak non-Gaussianity is induced by gravity. The formulas of this paper would find a fit in many applications to statistical analyses of cosmological fields.
arXiv comment19 pages, 5 figures
References in corpus (54)
- The Cosmic Linear Anisotropy Solving System (CLASS) II: Approximation schemes
- Stable clustering, the halo model and nonlinear cosmological power spectra
- Large-Scale Structure of the Universe and Cosmological Perturbation Theory
- Non-Gaussianity from Inflation: Theory and Observations
- New cosmological constraints on primordial black holes
- Revising the Halofit Model for the Nonlinear Matter Power Spectrum
- Large-Scale Galaxy Bias
- Weak Lensing and Cosmology
- Uncorrelated Modes of the Nonlinear Power Spectrum
- The abundance of primordial black holes depends on the shape of the inflationary power spectrum
- A new calculation of the mass fraction of primordial black holes
- Halo Stochasticity from Exclusion and non-linear Clustering
- The Ineludible non-Gaussianity of the Primordial Black Hole Abundance
- Searching for massive clusters in weak lensing surveys
- Cosmology Constraints from the Weak Lensing Peak Counts and the Power Spectrum in CFHTLenS
- Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data
- PBH abundance from random Gaussian curvature perturbations and a local density threshold
- FAST-PT: a novel algorithm to calculate convolution integrals in cosmological perturbation theory
- Modeling scale-dependent bias on the baryonic acoustic scale with the statistics of peaks of Gaussian random fields
- KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics - II: Inference from Shear Peaks using N-body Simulations
- Properties of the Cosmological Density Distribution Function
- Weakly Non-Linear Gaussian Fluctuations and the Edgeworth Expansion
- Statistics of Dark Matter Halos from Gravitational Lensing
- KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics-I: Inference from Analytical Prediction of High Signal-to-Noise Ratio Convergence Peaks
- Cosmological Constraints From Weak Lensing Peak Statistics With CFHT Stripe 82 Survey
- Cosmological Information in Weak Lensing Peaks
- Baryon acoustic signature in the clustering of density maxima
- On the connectivity of the cosmic web: theory and implications for cosmology and galaxy formation
- Non-Gaussian statistics of critical sets in 2 and 3D: Peaks, voids, saddles, genus and skeleton
- Fast Large Scale Structure Perturbation Theory using 1D FFTs
- FAST-PT II: an algorithm to calculate convolution integrals of general tensor quantities in cosmological perturbation theory
- Noisy weak-lensing convergence peak statistics near clusters of galaxies and beyond
- Analytic Expression of the Genus in Weakly Non-Gaussian Field Induced by Gravity
- A new model to predict weak-lensing peak counts I. Comparison with -body Simulations
- A new model to predict weak-lensing peak counts II. Parameter constraint strategies
- Breaking degeneracies in modified gravity with higher (than 2nd) order weak-lensing statistics
- The cosmology dependence of weak lensing cluster counts
- An analytic approach to number counts of weak-lensing peak detections
- Constraining neutrino mass with tomographic weak lensing peak counts
- Impact of Baryonic Processes on Weak Lensing Cosmology: Power Spectrum, Non-Local Statistics, and Parameter Bias
- Deriving an Accurate Formula of Scale-dependent Bias with Primordial Non-Gaussianity: An Application of the Integrated Perturbation Theory
- The invariant joint distribution of a stationary random field and its derivatives: Euler characteristic and critical point counts in 2 and 3D
- The cosmological information of shear peaks: beyond the abundance
- Matter bispectrum of large-scale structure: Three-dimensional comparison between theoretical models and numerical simulations
- Cosmological constraints from Subaru weak lensing cluster counts
- Measuring primordial non-Gaussianity through weak lensing peak counts
- FFT-PT: Reducing the two-loop large-scale structure power spectrum to low-dimensional radial integrals
- Diagrammatic Methods in Statistics and Biasing in the Large-scale Structure of the Universe
- Peak exclusion, stochasticity and convergence of perturbative bias expansions in 1+1 gravity
- Lagrangian bias of generic large-scale structure tracers
- Impacts of biasing schemes in the one-loop integrated perturbation theory
- Non-Gaussian bias: insights from discrete density peaks
- Squeezing the halo bispectrum: a test of bias models
- High Order Correction Terms for The Peak-Peak Correlation Function in Nearly-Gaussian Models
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- Cosmic Strings-induced CMB anisotropies in light of Weighted Morphology
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- Clustering of the extreme: A theoretical description of weak lensing critical points power spectra in the mildly nonlinear regime
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