Time-based Reconstruction of Hyperons at PANDA at FAIR

TL;DR

This paper discusses advanced, software-based track reconstruction algorithms for hyperon detection at the PANDA experiment, addressing challenges posed by hyperon decay vertices and high luminosity conditions.

Contribution

It introduces a modular, dynamic reconstruction approach, including algorithms like Cellular Automaton, for improved hyperon event identification at PANDA.

Findings

Development of a fast, versatile reconstruction algorithm

Implementation of a method for z-momentum component extraction

Techniques for merging detector information effectively

Abstract

The upcoming PANDA (anti-Proton ANnihilation at DArmstadt) experiment at FAIR (Facility for Anti-proton and Ion Research) offers unique possibilities for performing hyperon physics such as extraction of spin observables. Due to their relatively long-lived nature, the displaced decay vertices of hyperons impose a particular challenge on the track reconstruction and event building. The foreseen high luminosity and beam momenta at PANDA requires new advanced tracking algorithms for successfully identifying the hyperon events. The purely software based event selection of PANDA puts high demands on the online reconstruction. A fast, versatile, modular and dynamic approach to track reconstruction and event building is required. This text addresses the reconstruction algorithms used in the scheme such as the Cellular Automaton. A method for obtaining the z-component of the particle momentum is described as well as methods for merging the information from different track reconstruction detectors.