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Random fields in nature often have, to a good approximation, Gaussian characteristics. We present the mathematical framework for a new and simple method for investigating the non-Gaussian contributions, based on counting the maxima and…

统计力学 · 物理学 2012-10-26 T. H. Beuman , A. M. Turner , V. Vitelli

Gaussian random fields pervade all areas of science. However, it is often the departures from Gaussianity that carry the crucial signature of the nonlinear mechanisms at the heart of diverse phenomena, ranging from structure formation in…

统计力学 · 物理学 2015-06-05 T. H. Beuman , A. M. Turner , V. Vitelli

Coarse graining is a common imperfection of realistic quantum measurement, obstructing the direct observation of quantum features. Under highly coarse-grained measurement, we experimentally detect the continuous-variable nonclassicality of…

量子物理 · 物理学 2023-10-19 Chan Roh , Young-Do Yoon , Jiyong Park , Young-Sik Ra

When the equations that govern the dynamics of a random field are nonlinear, the field can develop with time non-Gaussian statistics even if its initial condition is Gaussian. Here, we provide a general framework for calculating the effect…

统计力学 · 物理学 2013-03-14 T. H. Beuman , A. M. Turner , V. Vitelli

Performance guarantees for compression in nonlinear models under non-Gaussian observations can be achieved through the use of distributional characteristics that are sensitive to the distance to normality, and which in particular return the…

统计理论 · 数学 2017-10-03 Larry Goldstein , Xiaohan Wei

Non-gaussianity represents the statistical signature of physical processes such as turbulence. It can also be used as a powerful tool to discriminate between competing cosmological scenarios. A canonical analysis of non-gaussianity is based…

天体物理学 · 物理学 2009-10-31 O. Forni , N. Aghanim

We use cosmological N-body simulations to investigate whether measurements of the moments of large-scale structure can yield constraints on primordial non-Gaussianity. We measure the variance, skewness, and kurtosis of the evolved density…

宇宙学与河外天体物理 · 物理学 2014-07-24 Qingqing Mao , Andreas A. Berlind , Cameron K. McBride , Robert J. Scherrer , Roman Scoccimarro , Marc Manera

We formulate the statistics of peaks of non-Gaussian random fields and implement it to study the sphericity of peaks. For non-Gaussianity of the local type, we present a general formalism valid regardless of how large the deviation from…

宇宙学与河外天体物理 · 物理学 2025-09-03 Cristiano Germani , Mohammad Ali Gorji , Michiru Uwabo-Niibo , Masahide Yamaguchi

Random fields in nature often have, to a good approximation, Gaussian characteristics. For such fields, the relative densities of umbilical points -- topological defects which can be classified into three types -- have certain fixed values.…

统计力学 · 物理学 2013-08-09 A. M. Turner , T. H. Beuman , V. Vitelli

In this paper we propose a new statistic capable of detecting non-Gaussianity in the CMB. The statistic is defined in Fourier space, and therefore naturally separates angular scales. It consists of taking another Fourier transform, in…

天体物理学 · 物理学 2010-04-08 Alex Lewin , Andreas Albrecht , Joao Magueijo

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…

宇宙学与河外天体物理 · 物理学 2020-03-04 Takahiko Matsubara

Two recent papers have claimed detection of non-Gaussian features in the COBE DMR sky maps of the cosmic microwave background. We confirm these results, but argue that Gaussianity is still not convincingly ruled out. Since a score of…

天体物理学 · 物理学 2009-10-31 Benjamin C. Bromley , Max Tegmark

We compare the latest results from CMB experiments at scales around $l_e \sim 150$ over different parts of the sky to test the hypothesis that they are drawn from a Gaussian distribution, as is usually assumed. Using both the diagonal and…

天体物理学 · 物理学 2009-10-30 E. Gaztanaga , P. Fosalba , E. Elizalde

Dimension reduction is a common strategy in multivariate data analysis which seeks a subspace which contains all interesting features needed for the subsequent analysis. Non-Gaussian component analysis attempts for this purpose to divide…

统计方法学 · 统计学 2020-09-01 Una Radojicic , Klaus Nordhausen

We report a technique to calculate the impact of distinct physical processes inducing non-Gaussianity on the cosmological density field. A natural decomposition of the cosmic genus statistic into an orthogonal polynomial sequence allows…

宇宙学与河外天体物理 · 物理学 2012-05-07 J. Berian James

Quantum non-Gaussianity is a key resource for quantum advantage in continuous-variable systems. We introduce a general framework to quantify non-Gaussianity based on correlation generation: two copies of a state become correlated at a…

量子物理 · 物理学 2025-08-28 Oliver Hahn , Ryuji Takagi

We investigate the power of geometrical estimators on detecting non-Gaussianity in the cosmic microwave background. In particular the number, eccentricity and Gaussian curvature of excursion sets above (and below) a threshold are studied.…

天体物理学 · 物理学 2011-05-10 R. B. Barreiro , E. Martinez-Gonzalez , J. L. Sanz

We study various measures of weak lensing distortions in future surveys, taking into account the noise arising from the finite survey size and the intrinsic ellipticity of galaxies. We also consider a realistic redshift distribution of the…

天体物理学 · 物理学 2009-11-10 Patrick Valageas , Dipak Munshi , Andrew J. Barber

In this work we study the properties of the mass density field in the non-Gaussian world models simulated by Grossi et al. 2007. In particular we focus on the one-point density probability distribution function of the mass density field in…

天体物理学 · 物理学 2010-03-26 M. Grossi , E. Branchini , K. Dolag , S. Matarrese , L. Moscardini

The assumption of Gaussianity of the primordial perturbations plays an important role in modern cosmology. The most direct test of this hypothesis consists in testing Gaussianity of the CMB maps. Counting the pixels with the temperatures in…

天体物理学 · 物理学 2011-05-10 Sergei F. Shandarin
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