Charged particle tracking in real-time using a full-mesh data delivery architecture and associative memory techniques Academic Article uri icon

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.

published proceedings

  • JOURNAL OF INSTRUMENTATION

altmetric score

  • 0.5

author list (cited authors)

  • Ajuha, S., Shinoda, A. A., Ramalho, L. A., Baulieu, G., Boudoul, G., Casarsa, M., ... Zorzetti, S.

citation count

  • 0

complete list of authors

  • Ajuha, Sudha||Shinoda, Ailton Akira||Ramalho, Lucas Arruda||Baulieu, Guillaume||Boudoul, Gaelle||Casarsa, Massimo||Cascadan, Andre||Clement, Emyr||de Paiva, Thiago Costa||Das, Souvik||Dutta, Suchandra||Eusebi, Ricardo||Fedi, Giacomo||Ferreira, Vitor Finotti||Hahn, Kristian||Hu, Zhen||Jindariani, Sergo||Konigsberg, Jacobo||Liu, Tiehui||Low, Jia Fu||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

publication date

  • December 2022