GPU propagation and visualisation of particle collisions with ALICE magnetic field model
Piotr Nowakowski, Przemys{\l}aw Rokita, {\L}ukasz Graczykowski

TL;DR
This paper presents a GPU-based implementation of particle trajectory visualization in the ALICE detector, incorporating a detailed magnetic field model to improve performance and enable real-time adjustments.
Contribution
The work introduces a shader-based reconstruction algorithm that integrates a detailed magnetic field model for GPU rendering of collision data trajectories.
Findings
GPU implementation improves visualization performance
Real-time magnetic field adjustments are possible
Enhanced accuracy of particle trajectory rendering
Abstract
The ALICE Collaboration at CERN developed a 3D visualisation tool capable of displaying a representation of collected collision data (particle trajectories, clusters and calorimeter towers) called the Event Display. The Event Display is constantly running in the ALICE Run Control Center as part of the Quality Assurance system, providing the monitoring personnel with visual cues about possible problems of both hardware and software components during periods of data gathering. In the software, particle trajectories (which are curved due to presence of magnetic field inside the detector) are generated from physical parameters of detected particles, such as electrical charge and momentum. Previously this process in the Event Display used a uniform, constant magnetic field for these calculations, which differs from the spatial variations of the real magnetic field and does not model one of…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Advanced Data Storage Technologies · Particle physics theoretical and experimental studies
