POLARIS: The POLArized RadIation Simulator for Mie scattering in optically thick dusty plasmas

IF 7.2 2区物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Physics Communications Pub Date : 2025-04-29 DOI:10.1016/j.cpc.2025.109645

Julia Kobus , Stefan Reißl , Moritz Lietzow-Sinjen , Alexander Bensberg , Andreas Petersen , Franko Greiner , Sebastian Wolf

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引用次数: 0

Abstract

POLARIS is a 3D Monte-Carlo radiative transfer code written in C++ for simulating the Mie scattering of laser light in optically thick nanodusty plasmas. Originally developed for astrophysical applications, POLARIS has been adapted to address the specific needs of the plasma physics community. To achieve this, a given number of photon packages characterized by their traveling direction

\vec{d}

, wavelength λ, intensity, and polarization state in terms of the Stokes vector

\vec{S}

is generated to mimic the emission of a laser source with a Gaussian intensity distribution. These photon packages are then tracked along their probabilistic paths through the particle cloud, with scattering processes determined stochastically based on probability density distributions derived from the optical properties of the dust particles. POLARIS allows simulations for arbitrary wavelengths and grain sizes, as long as the far-field approximation holds. This paper introduces this adapted version of POLARIS to the plasma physics community, highlighting its capabilities for modeling light scattering in dusty plasmas and serving as a comprehensive reference for its application. In doing so, POLARIS provides a powerful tool for the in-situ analysis of optically thick dusty plasmas.

Program summary

Program Title: POLARIS

CPC Library link to program files: https://doi.org/10.17632/8d3jm3x29t.1

Developer's repository link: https://github.com/polaris-MCRT/POLARIS

Licensing provisions: GPLv3

Programming language: C++, Python 3

Nature of problem: Simulating Mie scattering in dense dusty plasmas to enable in-situ analysis of these systems.

Solution method: Tracing the random paths of photon packages through a three dimensional grid filled with dust particles making stochastic decisions on scattering processes based on probability density distributions given by the optical properties of the dust particles.

查看原文本刊更多论文

POLARIS：光学厚尘埃等离子体中Mie散射的偏振辐射模拟器

POLARIS是一个用c++编写的三维蒙特卡罗辐射传输代码，用于模拟激光在光学厚纳米尘埃等离子体中的Mie散射。最初是为天体物理应用开发的，POLARIS已经适应了等离子体物理社区的特定需求。为了实现这一目标，生成了给定数量的光子包，其特征是其行进方向d→，波长λ，强度和偏振态在斯托克斯矢量S→方面的特征，以模拟具有高斯强度分布的激光源的发射。然后沿着粒子云的概率路径跟踪这些光子包，散射过程根据由尘埃粒子的光学特性得出的概率密度分布随机确定。POLARIS允许模拟任意波长和颗粒大小，只要远场近似成立。本文向等离子体物理界介绍了这个改编版本的POLARIS，重点介绍了它在尘埃等离子体中光散射建模的能力，并为其应用提供了全面的参考。这样，POLARIS为光学厚尘等离子体的原位分析提供了一个强大的工具。程序摘要程序标题：POLARISCPC库链接到程序文件：https://doi.org/10.17632/8d3jm3x29t.1Developer's存储库链接：https://github.com/polaris-MCRT/POLARISLicensing条款：gplv3编程语言：c++， Python 3问题的性质：模拟稠密尘埃等离子体中的Mie散射，以便对这些系统进行原位分析。求解方法：根据尘埃粒子的光学性质给出的概率密度分布对散射过程进行随机决策，跟踪光子包在充满尘埃粒子的三维网格中的随机路径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Physics Communications 物理-计算机：跨学科应用

CiteScore

12.10

自引率

3.20%

发文量

287

审稿时长

5.3 months

期刊介绍： The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.