Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model

Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

Standard

Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model. / Grunwald, Joschka; Mercorelli, Paolo.
in: Journal of Physics: Conference Series, Jahrgang 2162, 012016, 25.01.2022.

Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

Harvard

APA

Vancouver

Bibtex

@article{6312868e6e0b4ffeaa85d0396595c5fa,
title = "Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model",
abstract = "In plasmas the atoms are dissociated into ions and free electrons. Due to the high mobility of the electrons, plasmas are a vibrating medium. As a result, a plasma frequency can be determined, which is an important parameter for characterizing a material. In this study, the plasma frequency is to be visualized. For this purpose, a mathematical model will be set up to describe the electron kinetics. The electrons are briefly deflected with a force against the static ion background in order to examine the interaction between the particles in the form of electrostatic fields. The discretized equations are implemented in a numerical particle simulation to visualize the movement of the electrons. The Particle-In-Cell (PIC) method is used for this. A spatial mathematical grid is created on which the simulated particles are distributed in the cells. The equations of motion and field are then solved on this grid at different times. ",
keywords = "Leapfrog Method, Particle Simulation, Particle-In-Cell Method, Periodic Normalized Plasma Model, Plasma Frequency, Poisson Equantion, Engineering",
author = "Joschka Grunwald and Paolo Mercorelli",
year = "2022",
month = jan,
day = "25",
doi = "10.1088/1742-6596/2162/1/012016",
language = "English",
volume = "2162",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd",
note = "International Conference on Applied Physics, Simulation and Computing - APSAC 2021 ; Conference date: 03-09-2021 Through 05-09-2021",

}

RIS

TY - JOUR

T1 - Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model

AU - Grunwald, Joschka

AU - Mercorelli, Paolo

N1 - Conference code: 5

PY - 2022/1/25

Y1 - 2022/1/25

N2 - In plasmas the atoms are dissociated into ions and free electrons. Due to the high mobility of the electrons, plasmas are a vibrating medium. As a result, a plasma frequency can be determined, which is an important parameter for characterizing a material. In this study, the plasma frequency is to be visualized. For this purpose, a mathematical model will be set up to describe the electron kinetics. The electrons are briefly deflected with a force against the static ion background in order to examine the interaction between the particles in the form of electrostatic fields. The discretized equations are implemented in a numerical particle simulation to visualize the movement of the electrons. The Particle-In-Cell (PIC) method is used for this. A spatial mathematical grid is created on which the simulated particles are distributed in the cells. The equations of motion and field are then solved on this grid at different times.

AB - In plasmas the atoms are dissociated into ions and free electrons. Due to the high mobility of the electrons, plasmas are a vibrating medium. As a result, a plasma frequency can be determined, which is an important parameter for characterizing a material. In this study, the plasma frequency is to be visualized. For this purpose, a mathematical model will be set up to describe the electron kinetics. The electrons are briefly deflected with a force against the static ion background in order to examine the interaction between the particles in the form of electrostatic fields. The discretized equations are implemented in a numerical particle simulation to visualize the movement of the electrons. The Particle-In-Cell (PIC) method is used for this. A spatial mathematical grid is created on which the simulated particles are distributed in the cells. The equations of motion and field are then solved on this grid at different times.

KW - Leapfrog Method

KW - Particle Simulation

KW - Particle-In-Cell Method

KW - Periodic Normalized Plasma Model

KW - Plasma Frequency

KW - Poisson Equantion

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85124938032&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/2162/1/012016

DO - 10.1088/1742-6596/2162/1/012016

M3 - Conference article in journal

AN - SCOPUS:85124938032

VL - 2162

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

M1 - 012016

T2 - International Conference on Applied Physics, Simulation and Computing - APSAC 2021

Y2 - 3 September 2021 through 5 September 2021

ER -

Dokumente

DOI

Zuletzt angesehen

Publikationen

  1. Machine Learning and Data Mining for Sports Analytics
  2. Effects of an expressive writing intervention (EWI) with women treated for breast cancer explored with recurrence quantification analysis (RQA) of changes in text structure - a proof-of-concept study
  3. Efficient co-regularised least squares regression
  4. Logistical Potentials of Load Balancing via the Build-up and Reduction of Stock
  5. The model of educational reconstruction: A framework for the design of theory-based content specific interventions
  6. A Column Generation Approach for Bus Driver Rostering Problems
  7. The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs
  8. Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer
  9. Segment Introduction
  10. A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods
  11. A latent state-trait analysis of current achievement motivation across different tasks of cognitive ability
  12. Modellieren in der Sekundarstufe
  13. Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks
  14. Hybrid models for future event prediction
  15. Optimization of a gaseous multitube detector for soft X-ray detection
  16. Integration of laboratory experiments into introductory electrical engineering courses
  17. Convergence of adaptive learning and expectational stability
  18. Diffusion patterns in small vs. large capital markets-the case of value-based management
  19. Using conditional inference trees and random forests to predict the bioaccumulation potential of organic chemicals
  20. Amplifying actions for food system transformation: insights from the Stockholm region
  21. Assembly Modes of General Planar 3-RPR Parallel Mechanisms when Using the Linear Actuators’ Orientations
  22. Gerbil – Benchmarking named entity recognition and linking consistently
  23. Development of Early Spatial Perspective-Taking - Toward a Three-Level Model
  24. Simulation and optimization of material and energy flow systems
  25. Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking
  26. Life satisfaction in Germany after reunification: Additional insights on the pattern of convergence
  27. Comparing temperature data sources for use in species distribution models
  28. Reducing the peaking phenomenon in Luenberger observers in presence of quasi-static disturbances for linear time invariant systems