Blog Posts Tagged Particle Tracing Module
Protecting Aerospace Devices via an Ion-Material Interaction Benchmark
In outer space and other harsh radiation environments, high-energy ions and protons pierce materials and affect nearby electronic systems. Known as a single-event effect (SEE), the particle radiation can lead to soft or hard errors in devices. Since just one hard error puts a space mission at risk, aerospace engineers must make sure that all critical electronic devices can withstand an SEE. To gain a better understanding of this phenomenon, they can accurately analyze the ion-material interaction using simulation.
Studying the Van Allen Belts with Particle Tracing Simulation
Get a closer view of the Van Allen belts, 2 doughnut-shaped belts of radiation that surround Earth, with the help of particle tracing software.
Analyzing an Electrodynamic Ion Funnel with COMSOL Multiphysics®
Quadrupole mass filters and ion mobility spectrometers are used to detect explosives, study complex biological molecules, and more. Ion funnels are an important component of these devices.
Focusing on Einzel Lenses with Particle Tracing Simulation
You can use electrostatics analysis and charged particle tracing to better understand einzel lens systems and optimize their designs.
Benchmark Model Shows Reliable Results for Inertial Focusing Analysis
Inertial focusing involves the migration of particles through a channel. This benchmark model analyzes particle behavior in an inertial focusing process with validated, reliable results.
Sampling from Phase Space Distributions in 3D Charged Particle Beams
In the previous installment of this series, we explained two concepts needed to model the release and propagation of real-world charged particle beams. We first introduced probability distribution functions in a purely mathematical sense and then discussed a specific type of distribution — the transverse phase space distribution of a charged particle beam in 2D. Now, let’s combine what we’ve learned and find out how to sample the initial positions and velocities of 3D beam particles from this distribution.
Phase Space Distributions and Emittance in 2D Charged Particle Beams
Previously in our Phase Space Distributions in Beam Physics series, we introduced probability distribution functions (PDFs) and various ways to sample from them in the COMSOL Multiphysics® software. Such knowledge of PDFs is necessary to understand how ion and electron beams propagate within real-world systems. In this installment, we’ll discuss the concepts of phase space and emittance as they apply to the release of ions or electrons in beams.
Sampling Random Numbers from Probability Distribution Functions
In this blog series, we’ll investigate the simulation of beams of ions or electrons using particle tracking techniques. We’ll begin by providing some background information on probability distribution functions and the different ways in which you can sample random numbers from them in the COMSOL Multiphysics® software. In later installments, we’ll show how this underlying mathematics can be used to accurately simulate the propagation of ion and electron beams in real-world systems.
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