1. Novel particle tracking algorithm based on the Random Sample Consensus Model for the Active Target Time Projection Chamber (AT-TPC)
- Author
-
Daniel Bazin, Wolfgang Mittig, S. Beceiro-Novo, Y. Ayyad, and Marco Cortesi
- Subjects
Active target ,Physics ,Nuclear and High Energy Physics ,Vertex (computer graphics) ,Time projection chamber ,010308 nuclear & particles physics ,RANSAC ,Tracking (particle physics) ,01 natural sciences ,Task (computing) ,0103 physical sciences ,Particle ,Noise (video) ,010306 general physics ,Instrumentation ,Algorithm - Abstract
The three-dimensional reconstruction of particle tracks in a time projection chamber is a challenging task that requires advanced classification and fitting algorithms. In this work, we have developed and implemented a novel algorithm based on the Random Sample Consensus Model (RANSAC). The RANSAC is used to classify tracks including pile-up, to remove uncorrelated noise hits, as well as to reconstruct the vertex of the reaction. The algorithm, developed within the Active Target Time Projection Chamber (AT-TPC) framework, was tested and validated by analyzing the 4 He+ 4 He reaction. Results, performance and quality of the proposed algorithm are presented and discussed in detail.
- Published
- 2018
- Full Text
- View/download PDF