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We present a grid-based non-parametric approach to obtain a triaxial three-dimensional luminosity density from its surface brightness distribution. Triaxial deprojection is highly degenerate and our approach illustrates the resulting…

星系天体物理 · 物理学 2020-07-08 Stefano de Nicola , Roberto P. Saglia , Jens Thomas , Walter Dehnen , Ralf Bender

Photometric data from the literature is combined with triaxial mass models to derive variation in the intrinsic shapes of the light distribution of elliptical galaxies NGC 720, 2768 and 3605. The inferred shape variation in given by a…

宇宙学与河外天体物理 · 物理学 2015-05-20 D. K. Chakraborty , A. K. Diwakar , S. K. Pandey

An expression for the joint probability distribution of the principal curvatures at an arbitrary point in the ensemble of isosurfaces defined on isotropic Gaussian random fields on Rn is derived. The result is obtained by deriving symmetry…

数学物理 · 物理学 2007-05-23 Paulo R. S. Mendonca , Rahul Bhotika , James V. Miller

X-Ray imaging is quick, cheap and useful for front-line care assessment and intra-operative real-time imaging (e.g., C-Arm Fluoroscopy). However, it suffers from projective information loss and lacks vital volumetric information on which…

图像与视频处理 · 电气工程与系统科学 2020-06-24 Athanasios Vlontzos , Samuel Budd , Benjamin Hou , Daniel Rueckert , Bernhard Kainz

We formulate and investigate a statistical inverse problem of a random tomographic nature, where a probability density function on $\mathbb{R}^3$ is to be recovered from observation of finitely many of its two-dimensional projections in…

统计理论 · 数学 2009-09-03 Victor M. Panaretos

Surface photometry from 16 HST/WFPC2 fields in the I(F814W) filter is used to derive the distribution of apparent axis ratios for galaxies in progressively fainter magnitude intervals for I<25. We assess the systematic and accidental errors…

天体物理学 · 物理学 2009-10-30 S. C. Odewahn , D. Burstein , R. A. Windhorst

We derive probability density functions for the projected axial ratios of the real and mock 2PIGG galaxy groups, and use this data to investigate the intrinsic three dimensional shape of the dark matter ellipsoids that they trace. As well…

天体物理学 · 物理学 2007-10-02 A. Robotham , S. Phillipps , R. de Propris

The skeleton formalism aims at extracting and quantifying the filamentary structure of the universe is generalized to 3D density fields; a numerical method for computating a local approximation of the skeleton is presented and validated…

天体物理学 · 物理学 2009-11-13 T. Sousbie , C. Pichon , S. Colombi , D. Novikov , D. Pogosyan

We use the physics of ellipsoidal collapse to model the probability distribution function of the smoothed dark matter density field in real and redshift space. We provide a simple approximation to the exact collapse model which shows…

天体物理学 · 物理学 2008-08-05 Tsz Yan Lam , Ravi K. Sheth

Numerical simulations and observations show that galaxies are not uniformly distributed in the universe but, rather, they are spread across a filamentary structure. In this large-scale pattern, highly dense regions are linked together by…

宇宙学与河外天体物理 · 物理学 2020-09-16 T. Bonnaire , N. Aghanim , A. Decelle , M. Douspis

The Ising model in the presence of a random field is investigated within the mean field approximation based on Landau expansion. The random field is drawn from the trimodal probability distribution $P(h_{i})=p \delta(h_{i}-h_{0}) + q \delta…

统计力学 · 物理学 2013-04-26 I. A. Hadjiagapiou

We introduce and test an expression for calculating the variance of a physical field in three dimensions using only information contained in the two-dimensional projection of the field. The method is general but assumes statistical…

星系天体物理 · 物理学 2015-05-14 C. M. Brunt , C. Federrath , D. J. Price

A method of modelling the three-dimensional microstructure of random isotropic two-phase materials is proposed. The information required to implement the technique can be obtained from two-dimensional images of the microstructure. The…

无序系统与神经网络 · 物理学 2009-10-31 Anthony Roberts

In a quadruply imaged lens system the angular distribution of images around the lens center is completely described by three relative angles. We show empirically that in the 3D space of these angles, spanning 180 x 180 x 90 degrees, quads…

宇宙学与河外天体物理 · 物理学 2015-06-03 Addishiwot G. Woldesenbet , Liliya L. R. Williams

Doppler tomography is a method to compute the emissivity distribution within the co-rotating frames of binary stars from observations of their emission line profiles at multiple orbital phases. A key assumption of the method as it is…

太阳与恒星天体物理 · 物理学 2021-12-08 T. R. Marsh

We apply the scale-length method to several three dimensional samples of the Two degree Field Galaxy Redshift Survey. This method allows us to map in a quantitative and powerful way large scale structures in the distribution of galaxies…

天体物理学 · 物理学 2009-08-03 Francesco Sylos Labini , Nikolay L. Vasilyev , Yurij V. Baryshev

In this paper, we propose a new ellipsoidal mixture model. This model is based a new probability density function belonging to the family of elliptical distributions and designed to model points spread around an ellipsoidal surface. Then,…

统计方法学 · 统计学 2023-09-22 Denis Brazey , Antoine Godichon-Baggioni , Bruno Portier

The problem of constructing flexible stochastic models to describe the variability in shape of solid particles is challenging. Natural objects often exhibit mono- or multi-fractal features, i.e. irregular shapes and self-similar patterns.…

统计理论 · 数学 2019-01-24 Alfredo Alegría

In this paper we derive an exact full expression for the 2D probability distribution of the ellipticity of an object measured from data, only assuming Gaussian noise in pixel values. This is a generalisation of the probability distribution…

宇宙学与河外天体物理 · 物理学 2015-06-17 Massimo Viola , Thomas Kitching , Benjamin Joachimi

Dusty magnetized structures observable in the far-infrared (FIR) at high Galactic latitudes are ubiquitous and found to be closely related to HI filaments with coherent velocity structures. Considering dimensionless morphological…

星系天体物理 · 物理学 2023-05-17 P. M. W. Kalberla , U. Haud
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