Gießen 2024 – wissenschaftliches Programm

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HK: Fachverband Physik der Hadronen und Kerne

HK 1: Computing I

HK 1.5: Vortrag

Montag, 11. März 2024, 17:45–18:00, HBR 14: HS 1

Applying TGeoArbN based tessellation in CBM geometry description^* — •Simon Neuhaus — Bergische Universität Wuppertal, Wuppertal, Deutschland

Tessellation is a method to describe any volume using a triangle-based surface mesh. Tessellation of detector geometries offers promising new possibilities to efficiently create ROOT/GEANT detector geometries for simulation directly from CAD output (e.g. step files). This enables more rapid iteration cycles in detector design and lowers the risk of potential discrepancies in the generated simulation geometry. The sole disadvantage might be a significant increase in computing time using this new method of geometry creation.

TGeoArbN is a software tool for tessellation, developed at the University of Bonn for the Panda experiment. This tool is independent from tessellation implemented in GEANT. This has the benefit that TGeoArbN runs with both, GEANT3 and GEANT4 based simulations. This talk discusses first studies using TGeoArbN to generate parts of the RICH detector of the CBM experiment.

The application of PANDA TGeoArbN in CBM is a good example of the synergy effects generated by the exchange between different detector groups and universities within the NRW FAIR Network.

^*Work supported by BMBF 05P21PXFC1, "Netzwerke 2021", an initiative of the Ministry of Culture and Science of the State of Northrhine Westphalia, and GSI.

Keywords: Geometry; tessellation; NRW FAIR; TGeoArbN; CBM