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相关论文: Cosmic Mass Functions from Gaussian Stochastic Dif…

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Diffuse emission in gamma-rays and neutrinos are produced by the interaction of cosmic rays with the interstellar medium. Below some hundreds of TeV, the sources of these cosmic rays are most likely Galactic. Hence, observations of…

高能天体物理现象 · 物理学 2025-09-25 Anton Stall , Philipp Mertsch

Galaxies, diffuse gas, and dark matter make up the cosmic web that defines the large-scale structure of the Universe. We constrained the joint distribution of these constituents by cross-correlating galaxy samples binned by stellar mass…

宇宙学与河外天体物理 · 物理学 2023-07-26 Raphaël Kou , James G. Bartlett

The acceleration of ultra high energy cosmic rays is conjectured to occur through various interactions with the electromagnetic fields in different astrophysical objects, like magnetic matter clumps, besides the well-known shock and…

高能天体物理现象 · 物理学 2014-03-18 A. Tawfik , A. Saleh , M. T. Ghoneim , A. A. Hady

We study observational constraints on the cosmographic functions up to the fourth derivative of the scale factor with respect to cosmic time, i.e., the so-called snap function, using the non-parametric method of Gaussian Processes. As…

宇宙学与河外天体物理 · 物理学 2022-05-18 A. M. Velasquez-Toribio , J. C. Fabris

We present methods to rigorously extract parameter combinations that are constrained by data from posterior distributions. The standard approach uses linear methods that apply to Gaussian distributions. We show the limitations of the linear…

宇宙学与河外天体物理 · 物理学 2022-04-06 Tara Dacunha , Marco Raveri , Minsu Park , Cyrille Doux , Bhuvnesh Jain

We present a scheme for using stellar catalogues to map the three-dimensional distributions of extinction and dust within our Galaxy. Extinction is modelled as a Gaussian random field, whose covariance function is set by a simple physical…

天体物理仪器与方法 · 物理学 2015-06-19 S. E. Sale , J. Magorrian

We present a new parametrization of the cosmic-ray flux and its mass composition over an energy range from 10 GeV to $10^{11}$ GeV. Our approach is data-driven and relies on theoretical assumptions as little as possible. We combine…

高能天体物理现象 · 物理学 2017-12-01 Hans Dembinski , Ralph Engel , Anatoli Fedynitch , Thomas Gaisser , Felix Riehn , Todor Stanev

The transport of charged particles in disorganised magnetic fields is an important issue which concerns the propagation of cosmic rays of all energies in a variety of astrophysical environments, such as the interplanetary, interstellar and…

天体物理学 · 物理学 2009-11-07 Fabien Casse , Martin Lemoine , Guy Pelletier

We present a generalization of Krylov-Rozovskii's result on the existence and uniqueness of solutions to monotone stochastic differential equations. As an application, the stochastic generalized porous media and fast diffusion equations are…

概率论 · 数学 2007-05-23 Jiagang Ren , Michael Röckner , Feng-Yu Wang

In this article we compare the halo mass function predicted by the excursion set theory with a drifting diffusive barrier against the results of N-body simulations for several cosmological models. This includes the standard LCDM case for a…

宇宙学与河外天体物理 · 物理学 2015-06-18 I. Achitouv , C. Wagner , J. Weller , Y. Rasera

The evolution of probability distribution functions (PDFs) of continuous density, velocity and velocity derivatives ( deformation tensor) fields in the theory of cosmological gravitational instability are considered. We show that in the…

天体物理学 · 物理学 2007-05-23 Lev Kofman

A new method for the statistical analysis of 3D point processes, based on the family of Minkowski functionals, is explained and applied to modelled galaxy distributions generated by a toy-model and cosmological simulations of the…

天体物理学 · 物理学 2007-05-23 Michael Platzoeder , Thomas Buchert

Excursion set theory is a powerful and widely used tool for describing the distribution of dark matter haloes, but it is normally applied with simplifying approximations. We use numerical sampling methods to study the mass functions…

宇宙学与河外天体物理 · 物理学 2024-01-29 M. Sten Delos

A new theory for determining the mass function of cosmic structures is presented. It relies on a realistic treatment of collapse dynamics. Gravitational collapse is analyzed in the Lagrangian perturbative framework. Lagrangian perturbations…

天体物理学 · 物理学 2015-06-24 Pierluigi Monaco

This paper deals with the analysis of stochastic systems which can be described by a Langevin equation. By the method presented in this paper drift and diffusion terms of the corresponding Fokker-Planck equation can be extracted from the…

凝聚态物理 · 物理学 2009-10-31 S. Siegert , R. Friedrich , J. Peinke

Cosmography is an ideal tool to investigate the cosmic expansion history of the Universe in a model-independent way. The equations of motion in modified theories of gravity are usually very complicated; cosmography may select practical…

广义相对论与量子宇宙学 · 物理学 2021-01-04 Sanjay Mandal , Deng Wang , P. K. Sahoo

A stationary distribution function that describes the entire processes of propagation of relativistic particles, including the transition between the ballistic and diffusion regimes, is obtained. The spacial component of the constructed…

高能天体物理现象 · 物理学 2015-10-14 A. Y. Prosekin , S. R. Kelner , F. A. Aharonian

Diffusion processes have been applied with great success to model the dynamics of large populations throughout science, in particular biology. One advantage is that they bridge two different scales: the microscopic and the macroscopic one.…

神经元与认知 · 定量生物学 2013-09-11 Marc de Kamps

Building upon the recently developed formalism of Kinetic Field Theory (KFT) for cosmic structure formation by Bartelmann et al., we investigate a kinematic relationship between diffusion and gravitational interactions in cosmic structure…

宇宙学与河外天体物理 · 物理学 2018-02-26 Johannes Dombrowski , Felix Fabis , Matthias Bartelmann

Simulating turbulent fluid flows is a computationally prohibitive task, as it requires the resolution of fine-scale structures and the capture of complex nonlinear interactions across multiple scales. This is particularly the case in direct…

流体动力学 · 物理学 2026-04-22 Ismaël Zighed , Nicolas Thome , Patrick Gallinari , Taraneh Sayadi