Efficient Modeling of Particle Transport through Aerosols in GEANT4

TL;DR

This paper introduces an efficient GEANT4 class for simulating particle transport through aerosols by modeling aerosols as collections of droplets, significantly improving speed and memory efficiency while maintaining granularity accuracy.

Contribution

The paper presents a novel aerosol modeling class in GEANT4 that enhances simulation efficiency by optimizing droplet-based granularity representation.

Findings

Order of magnitude faster than standard methods

Less memory intensive for large aerosols

Supports complex aerosol geometries and arrangements

Abstract

We present a geometry class for efficiently simulating particle transport through aerosols in GEANT4. It is demonstrated that aerosol granularity can strongly affect this transport and thus a generic aerosol model must respect this granularity, which the presented class achieves by modelling the aerosol as a collection of droplets. For large aerosols, this class is orders of magnitude quicker and less memory intensive than standard granularity-respecting methods to model aerosols in GEANT4. These gains are allowed by simpler voxelization optimization, by only populating droplets relevant to the transport, and by using droplet geometry to consider fewer droplets per calculation. The presented class allows differing aerosol bulk/droplet shape, droplets with structure, and spatially varying droplet position/rotation.