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, Kohei Yorita, J. Zhang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationConference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10
    DOIs
    Publication statusPublished - 2010
    Event2010 17th IEEE-NPSS Real Time Conference, RT10 - Lisbon
    Duration: 2010 May 242010 May 28

    Other

    Other2010 17th IEEE-NPSS Real Time Conference, RT10
    CityLisbon
    Period10/5/2410/5/28

    Fingerprint

    Detectors
    Luminance
    Tapes
    Field programmable gate arrays (FPGA)
    Data reduction
    Momentum
    Physics
    Systems analysis
    Data storage equipment
    Processing

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Science Applications

    Cite this

    Andreani, A., Andreazza, A., Annovi, A., Beretta, M., Bevacqua, V., Bogdan, M., ... Zhang, J. (2010). The fast track real time processor and its impact on muon isolation, tau and b-jet online selections at ATLAS. In Conference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10 [5750337] https://doi.org/10.1109/RTC.2010.5750337

    The fast track real time processor and its impact on muon isolation, tau and b-jet online selections at ATLAS. / Andreani, A.; Andreazza, A.; Annovi, A.; Beretta, M.; Bevacqua, V.; Bogdan, M.; Bossini, E.; Boveia, A.; Canelli, F.; Cheng, Y.; Citterio, M.; Crescioli, F.; Dell'Orso, M.; Drake, G.; Dunford, M.; Genat, J. F.; Giannetti, P.; Giorgi, F.; Hoff, J.; Kapliy, A.; Kasten, M.; Kim, Y. K.; Kimura, N.; Lanza, A.; Liberali, V.; Liu, T.; McCarn, A.; Melachrinos, C.; Meroni, C.; Negri, A.; Neubauer, M.; Piendibene, M.; Proudfoot, J.; Punzi, G.; Riva, M.; Sabatini, F.; Sacco, I.; Sartori, L.; Shochet, M.; Stabile, A.; Tang, F.; Todri, A.; Tripiccione, R.; Tuggle, J.; Vercesi, V.; Villa, M.; Vitullo, R. A.; Volpi, G.; Wu, J.; Yorita, Kohei; Zhang, J.

    Conference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10. 2010. 5750337.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Andreani, A, Andreazza, A, Annovi, A, Beretta, M, Bevacqua, V, Bogdan, M, Bossini, E, Boveia, A, Canelli, F, Cheng, Y, Citterio, M, Crescioli, F, Dell'Orso, M, Drake, G, Dunford, M, Genat, JF, Giannetti, P, Giorgi, F, Hoff, J, Kapliy, A, Kasten, M, Kim, YK, Kimura, N, Lanza, A, Liberali, V, Liu, T, McCarn, A, Melachrinos, C, Meroni, C, Negri, A, Neubauer, M, Piendibene, M, Proudfoot, J, Punzi, G, Riva, M, Sabatini, F, Sacco, I, Sartori, L, Shochet, M, Stabile, A, Tang, F, Todri, A, Tripiccione, R, Tuggle, J, Vercesi, V, Villa, M, Vitullo, RA, Volpi, G, Wu, J, Yorita, K & Zhang, J 2010, The fast track real time processor and its impact on muon isolation, tau and b-jet online selections at ATLAS. in Conference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10., 5750337, 2010 17th IEEE-NPSS Real Time Conference, RT10, Lisbon, 10/5/24. https://doi.org/10.1109/RTC.2010.5750337
    Andreani A, Andreazza A, Annovi A, Beretta M, Bevacqua V, Bogdan M et al. The fast track real time processor and its impact on muon isolation, tau and b-jet online selections at ATLAS. In Conference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10. 2010. 5750337 https://doi.org/10.1109/RTC.2010.5750337
    Andreani, A. ; Andreazza, A. ; Annovi, A. ; Beretta, M. ; Bevacqua, V. ; Bogdan, M. ; Bossini, E. ; Boveia, A. ; Canelli, F. ; Cheng, Y. ; Citterio, M. ; Crescioli, F. ; Dell'Orso, M. ; Drake, G. ; Dunford, M. ; Genat, J. F. ; Giannetti, P. ; Giorgi, F. ; Hoff, J. ; Kapliy, A. ; Kasten, M. ; Kim, Y. K. ; Kimura, N. ; Lanza, A. ; Liberali, V. ; Liu, T. ; McCarn, A. ; Melachrinos, C. ; Meroni, C. ; Negri, A. ; Neubauer, M. ; Piendibene, M. ; Proudfoot, J. ; Punzi, G. ; Riva, M. ; Sabatini, F. ; Sacco, I. ; Sartori, L. ; Shochet, M. ; Stabile, A. ; Tang, F. ; Todri, A. ; Tripiccione, R. ; Tuggle, J. ; Vercesi, V. ; Villa, M. ; Vitullo, R. A. ; Volpi, G. ; Wu, J. ; Yorita, Kohei ; Zhang, J. / The fast track real time processor and its impact on muon isolation, tau and b-jet online selections at ATLAS. Conference Record - 2010 17th IEEE-NPSS Real Time Conference, RT10. 2010.
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    abstract = "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.",
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    AU - Andreani, A.

    AU - Andreazza, A.

    AU - Annovi, A.

    AU - Beretta, M.

    AU - Bevacqua, V.

    AU - Bogdan, M.

    AU - Bossini, E.

    AU - Boveia, A.

    AU - Canelli, F.

    AU - Cheng, Y.

    AU - Citterio, M.

    AU - Crescioli, F.

    AU - Dell'Orso, M.

    AU - Drake, G.

    AU - Dunford, M.

    AU - Genat, J. F.

    AU - Giannetti, P.

    AU - Giorgi, F.

    AU - Hoff, J.

    AU - Kapliy, A.

    AU - Kasten, M.

    AU - Kim, Y. K.

    AU - Kimura, N.

    AU - Lanza, A.

    AU - Liberali, V.

    AU - Liu, T.

    AU - McCarn, A.

    AU - Melachrinos, C.

    AU - Meroni, C.

    AU - Negri, A.

    AU - Neubauer, M.

    AU - Piendibene, M.

    AU - Proudfoot, J.

    AU - Punzi, G.

    AU - Riva, M.

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    AU - Yorita, Kohei

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