Speaker
Description
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.
| Alternate track | 14. Computing, AI and Data Handling |
|---|---|
| I read the instructions above | Yes |
