A method for sharing dynamic geometry information in studies on liquid-based detectors

TL;DR

This paper introduces a method combining GDML and tessellated descriptions to effectively share and incorporate liquid non-uniformity data from CFD simulations into detector simulations, enhancing analysis and design.

Contribution

It presents a novel approach for integrating CFD-based liquid flow data into detector simulations using GDML and tessellation, improving accuracy in performance studies.

Findings

Enables detailed study of liquid flow effects on detector performance

Facilitates detector design optimization considering liquid non-uniformity

Improves event vertex reconstruction resolution analysis

Abstract

The liquid-based detectors are widely used in particle and nuclear physics experiments. Due to the fixed way of constructing geometry in detector simulation such as Geant4, it is usually difficult to describe the non-uniformity of liquid in detectors. We propose a method based on GDML and tessellated detector description to share the detector geometry information between Computational Fluid Dynamics (CFD) simulation software and detector simulation software. The method makes it possible to study the impact of liquid flow and non-uniformity on some key performance of the liquid-based detectors, such as event vertex reconstruction resolution. It will also be helpful in detector design and performance optimization.