Charged particle tracking in real-time using a full-mesh data delivery architecture and associative memory techniques. (1st December 2022)

• Record Type: Journal Article
• Authors: Ajuha, Sudha; Akira Shinoda, Ailton; Arruda Ramalho, Lucas; Baulieu, Guillaume; Boudoul, Gaelle; Casarsa, Massimo; Cascadan, Andre; Clement, Emyr; Costa de Paiva, Thiago; Das, Souvik; Dutta, Suchandra; Eusebi, Ricardo; Fedi, Giacomo; Finotti Ferreira, Vitor; Hahn, Kristian; Hu, Zhen; Jindariani, Sergo; Konigsberg, Jacobo; Liu, Tiehui; Fu Low, Jia; MacDonald, Emily; Olsen, Jamieson; Palla, Fabrizio; Pozzobon, Nicola; Rathjens, Denis; Ristori, Luciano; Rossin, Roberto; Sung, Kevin; Tran, Nhan; Trovato, Marco; Ulmer, Keith; Vaz, Mario; Viret, Sebastien; Wu, Jin-Yuan; Xu, Zijun; Zorzetti, Silvia;
• Is Part Of: Journal of instrumentation. Volume 17:Number 12(2022)
• Publication Date: 2022-12-01
• Subjects: Trigger algorithms -- Trigger concepts and systems (hardware and software) -- Data acquisition concepts -- Online farms and online filtering; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/17/12/P12002
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architecture for data distribution and relies on the Associative Memory approach to implement a pattern recognition algorithm that quickly identifies and organizes hits associated to trajectories of particles originating from particle collisions. We describe a successful implementation of a demonstration system composed of several innovative hardware and algorithmic elements. The implementation of a full-size system relies on the assumption that an Associative Memory device with the sufficient pattern density becomes available in the future, either through a dedicated ASIC or a modern FPGA. We demonstrate excellent performance in terms of track reconstruction efficiency, purity, momentum resolution, and processing time measured with data from a simulated LHC-like tracking detector.