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相关论文: A simple procedure for generating a Kappa distribu…

200 篇论文

The generally accepted representation of $\kappa$-distributions in space plasma physics allows for two different alternatives, namely assuming either the temperature or the thermal velocity to be $\kappa$-independent. The present paper aims…

太阳与恒星天体物理 · 物理学 2016-04-13 M. Lazar , H. Fichtner , P. H. Yoon

With the great development of parallel computing techniques, the particle-particle (PP) model has been successfully applied in a number of plasma applications. Comparing to particle-mesh (PM) models, for example the widely used…

等离子体物理 · 物理学 2025-06-10 Yanan Zhang , Xiaochun Ma , Hui Liu , Yinjian Zhao

Particle-in-Cell (PIC) simulation codes have wide applicability to first-principles modeling of multidimensional nonlinear plasma phenomena, including wake-field accelerators. This review addresses both finite difference and pseudo-spectral…

等离子体物理 · 物理学 2014-08-07 Brendan B. Godfrey

Numerical heating in particle-in-cell (PIC) codes currently precludes the accurate simulation of cold, relativistic plasma over long periods, severely limiting their applications in astrophysical environments. We present a spatially…

A new acceptance-rejection method is proposed and investigated for the Bingham distribution on the sphere using the angular central Gaussian distribution as an envelope. It is shown to have high efficiency and to be straightfoward to use.…

统计理论 · 数学 2013-10-31 John T. Kent , Asaad M. Ganeiber , Kanti V. Mardia

Rejection sampling is a technique for sampling from difficult distributions. However, its use is limited due to a high rejection rate. Common adaptive rejection sampling methods either work only for very specific distributions or without…

机器学习 · 统计学 2026-04-27 Akram Erraqabi , Michal Valko , Alexandra Carpentier , Odalric-Ambrym Maillard

The properties of the number of iterations in random sequential adsorption protocol needed to generate finite saturated random packing of spherically symmetric shapes were studied. Numerical results obtained for one, two, and three…

统计力学 · 物理学 2016-12-21 Michał Cieśla

We review common extensions of particle-in-cell (PIC) schemes which account for strong field phenomena in laser-plasma interactions. After describing the physical processes of interest and their numerical implementation, we provide…

等离子体物理 · 物理学 2015-08-26 A. Gonoskov , S. Bastrakov , E. Efimenko , A. Ilderton , M. Marklund , I. Meyerov , A. Muraviev , A. Sergeev , I. Surmin , E. Wallin

Particle-In-Cell codes are widely used for plasma physics simulations. It is often the case that particles within a computational cell need to be split to improve the statistics or, in the case of non-uniform meshes, to avoid the…

Author developed the parallel fully kinetic particle-in-cell (PIC) code JPIC based on updated and advanced algorithms (e.g. numerical-dispersion-free electromagnetic field solver) for simulating laser plasma interactions. Basic technical…

等离子体物理 · 物理学 2011-04-19 Hui-Chun Wu

Kinetic Particle In Cell (PIC) methods can extend greatly their range of applicability if implicit time differencing and spatial adaption are used to address the wide range of time and length scales typical of plasmas. For implicit…

等离子体物理 · 物理学 2008-06-05 Giovanni Lapenta

In this note, we develop a novel algorithm for generating random numbers from a distribution with a probability density function proportional to $\sin^k(x)$, $x \in (0,\pi)$ and $k \geq 1$. Our algorithm is highly efficient and is based on…

统计计算 · 统计学 2018-11-22 Enes Makalic , Daniel F. Schmidt

Particle-in-Cell (PIC) simulations are fundamental to plasma physics but often suffer from limited scalability due to particle-grid interaction bottlenecks and particle redistribution costs. Specifically, the particle-grid interaction…

分布式、并行与集群计算 · 计算机科学 2026-04-22 Yizhuo Rao , Xingjian Cui , Shangzhi Pang , Jiabin Xie , Guangnan Feng , Jinhui Wei , Ziyan Zhang , Languang Gao , Zhenyu Wang , Zhiguang Chen , Yutong Lu

Particle in Cell (PIC) simulations have become a vital tool for the investigation of kinetic processes in plasma physics. Many of the systems investigated with PIC simulations contain particles with relativistic velocities. The correct…

等离子体物理 · 物理学 2026-03-09 Holger Schmitz

Resonant scattering of energetic protons off magnetic irregularities is the main process in cosmic ray diffusion. The typical theoretical description uses Alfven waves in the low frequency limit. We demonstrate that the usage of…

太阳与恒星天体物理 · 物理学 2014-05-09 Cedric Schreiner , Felix Spanier

Particle-In-Cell (PIC) methods are frequently used for kinetic, high-fidelity simulations of plasmas. Implicit formulations of PIC algorithms feature strong conservation properties, up to numerical round-off errors, and are not subject to…

等离子体物理 · 物理学 2021-10-26 R. Kube , R. M. Churchill , B. Sturdevant

In this paper we examine a number of models that generate random fractals. The models are studied using the tools of computational complexity theory from the perspective of parallel computation. Diffusion limited aggregation and several…

凝聚态物理 · 物理学 2009-10-28 J. Machta , R. Greenlaw

The particle-in-cell (PIC) method has been widely used for plasma simulation, because of its noise-reduction capability and moderate computational cost. The immersed finite element (IFE) method is efficient for solving interface problems on…

数值分析 · 数学 2019-10-18 Jinwei Bai , Yong Cao , Yuchuan Chu , Xu Zhang

Numerical procedures to generate random variates that follow loss-cone velocity distributions in particle simulations are presented. We propose a simple summation algorithm for the Ashour-Abdalla--Kennel-type loss-cone distribution, also…

等离子体物理 · 物理学 2024-09-10 Seiji Zenitani , Shin'ya Nakano

Plasmas generated using energetic electron beams are well known for their low electron temperature ($T_{e}$) and plasma potential, which makes them attractive for atomic-precision plasma processing applications such as atomic layer etch and…

等离子体物理 · 物理学 2023-06-07 Shahid Rauf , D. Sydorenko , S. Jubin , W. Villafana , S. Ethier , A. Khrabrov , I. Kaganovich