| Article | |
| Report number | CERN-EP-RDET-2024-003 ; PoS 1142 |
| Title | First Look at Particle Flow in a LAr Calorimeter Using Pandora in the Key4hep Framework |
| Author(s) | Sasikumar, Swathi (CERN) ; Sailer, Andre (CERN) ; Francois, Brieuc (CERN) |
| Collaboration | Key4hep |
| Number of pages | 4 |
| Published in: | PoS ICHEP2024 (2025) 1142 |
| Presented at | 42nd International Conference on High Energy Physics (ICHEP 2024), Prague, Czech Republic, 18 - 24 Jul 2024, pp.1142 |
| DOI | 10.22323/1.476.1142 |
| Project | EP-RDET-WP7 |
| Keywords | Particle flow ; PandoraPFA ; LAr calorimeter ; Key4hep |
| Abstract | Future detector studies rely on advanced software tools for performance estimation and design optimization. Particle flow reconstruction is a key ingredient in optimal jet energy resolutions. While Pandora stands out as a well-established algorithm for particle flow analysis, its application has primarily been confined to high-granularity CALICE calorimeters. This limitation prompted exploration into its compatibility with other detector types. Key4hep, a turnkey solution for experiment lifecycles, offers a flexible framework that allows different experiments to benefit from its synergies. Leveraging Key4hep, PandoraPFA was successfully adapted to study particle flow in a Liquid-Argon calorimeter for the first time. This presentation examines the integration of Pandora PFA into the Key4hep framework and its application in a LAr calorimeter. Furthermore, it assesses Pandora PFA’s ability to distinguish between particle showers and discusses its implications on the jet energy resolution. |
| Other source | Inspire |
| Submitted by | [email protected] |
Record created 2024-12-06, last modified 2025-02-18
