The fast track real time processor and its impact on muon isolation, tau and b-jet online selections at ATLAS

A. Andreani, A. Andreazza, A. Annovi, M. Beretta, V. Bevacqua, M. Bogdan, E. Bossini, A. Boveia, F. Canelli, Y. Cheng, M. Citterio, F. Crescioli, M. Dell'Orso, G. Drake, M. Dunford, J. F. Genat, P. Giannetti, F. Giorgi, J. Hoff, A. KapliyM. Kasten, Y. K. Kim, N. Kimura, A. Lanza, V. Liberali, T. Liu, A. McCarn, C. Melachrinos, C. Meroni, A. Negri, M. Neubauer, M. Piendibene, J. Proudfoot, G. Punzi, M. Riva, F. Sabatini, I. Sacco, L. Sartori, M. Shochet, A. Stabile, F. Tang, A. Todri, R. Tripiccione, J. Tuggle, V. Vercesi, M. Villa, R. A. Vitullo, G. Volpi, J. Wu, K. Yorita, J. Zhang

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

As the LHC luminosity is ramped up to 3×1034 cm -2 s-1 and beyond, the high rates, multiplicities, and energies of particles seen by the detectors will pose a unique challenge. Only a tiny fraction of the produced collisions can be stored on tape and immense real-time data reduction is needed. An effective trigger system must maintain high trigger efficiencies for the physics we are most interested in, and at the same time suppress the enormous QCD backgrounds. This requires massive computing power to minimize the online execution time of complex algorithms. A multi-level trigger is an effective solution for an otherwise impossible problem. The Fast Tracker (FTK) is a proposed upgrade to the current ATLAS trigger system that will operate at full Level-1 output rates and provide high quality tracks reconstructed over the entire detector by the start of processing in Level-2. FTK solves the combinatorial challenge inherent to tracking by exploiting massive parallelism of associative memories that can compare inner detector hits to millions of pre-calculated patterns simultaneously. The tracking problem within matched patterns is further simplified by using pre-computed linearized fitting constants and leveraging fast DSPs in modern commercial FPGAs. Overall, FTK is able to compute the helix parameters for all tracks in an event and apply quality cuts in less than 100 μs. The system design is defined and studied with respect to high transverse momentum (high-PT) Level-2 objects: b-jets, tau-jets, and isolated leptons. We test FTK algorithms using ATLAS full simulation with WH events up to 3×1034 cm-2 s-1 luminosity and comparing FTK results with the offline tracking capability. We present the architecture and the reconstruction performances for the mentioned high-PT Level-2 objects.

本文言語English
ホスト出版物のタイトルConference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10
DOI
出版ステータスPublished - 2010
イベント2010 17th IEEE-NPSS Real Time Conference, RT10 - Lisbon, Portugal
継続期間: 2010 5 242010 5 28

出版物シリーズ

名前Conference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10

Conference

Conference2010 17th IEEE-NPSS Real Time Conference, RT10
CountryPortugal
CityLisbon
Period10/5/2410/5/28

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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