The fast tracker architecture for the LHC baseline luminosity

A. Annovi, M. Beretta, E. Bossini, A. Boveia, E. Brubaker, F. Canelli, V. Cavasinni, F. Crescioli, H. DeBerg, M. Dell'Orso, M. Dunford, M. Franklin, P. Giannetti, A. Kapliy, Y. K. Kim, P. Laurelli, A. McCarn, C. Melachrinos, C. Mills, Mark NeubauerJ. Proudfoot, M. Piendibene, G. Punzi, F. Sarri, L. Sartori, M. Shochet, L. Tripiccione, J. Tuggle, I. Vivarelli, G. Volpi, K. Yorita, J. Zhang

Research output: Contribution to journalConference article

Abstract

Hadron collider experiments search for extremely rare processes hidden in much higher background levels. Only a tiny fraction of the produced collisions can be stored on tape and an enormous real-time data reduction is needed. This requires massive computing power to minimize the on-line execution time of complex algorithms. A multi-level trigger is an effective solution for an otherwise impossible problem. The Fast Tracker (FTK) [1, 2] has been proposed for high quality track finding at very high rates (Level-1 output rates) for the ATLAS experiment. FTK will use FPGA and ASIC devices in order to complement CPUs. FTK beats the combinatorial challenge with special associative memories, where parallelism is exploited to the maximum level. The associative memories compare the track detector hits to all pre-calculated track patterns at once. The system design is defined and proposed for high-luminosity studies including low-PT B-physics and high-PT signatures for Level-2 selections: b-jets, tau-jets, and isolated light leptons. We test FTK algorithms using ATLAS full simulation with WH and Hqq events at 1034 cm -2s-1. The reconstruction quality is evaluated comparing FTK results with the tracking capability of an offline tracking algorithm. We show that similar resolutions and efficiencies are reached by FTK. The online use of the whole silicon tracker is necessary to obtain the low fake rate typical of the offline.

Original languageEnglish (US)
JournalProceedings of Science
StatePublished - Dec 1 2009
EventEuropean Physical Society Europhysics Conference on High Energy Physics, EPS-HEP 2009 - Krakow, Poland
Duration: Jul 16 2009Jul 22 2009

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luminosity
associative memory
application specific integrated circuits
data reduction
systems engineering
complement
tapes
leptons
synchronism
actuators
signatures
physics
collisions
output
detectors
silicon
simulation

ASJC Scopus subject areas

  • General

Cite this

Annovi, A., Beretta, M., Bossini, E., Boveia, A., Brubaker, E., Canelli, F., ... Zhang, J. (2009). The fast tracker architecture for the LHC baseline luminosity. Proceedings of Science.

The fast tracker architecture for the LHC baseline luminosity. / Annovi, A.; Beretta, M.; Bossini, E.; Boveia, A.; Brubaker, E.; Canelli, F.; Cavasinni, V.; Crescioli, F.; DeBerg, H.; Dell'Orso, M.; Dunford, M.; Franklin, M.; Giannetti, P.; Kapliy, A.; Kim, Y. K.; Laurelli, P.; McCarn, A.; Melachrinos, C.; Mills, C.; Neubauer, Mark; Proudfoot, J.; Piendibene, M.; Punzi, G.; Sarri, F.; Sartori, L.; Shochet, M.; Tripiccione, L.; Tuggle, J.; Vivarelli, I.; Volpi, G.; Yorita, K.; Zhang, J.

In: Proceedings of Science, 01.12.2009.

Research output: Contribution to journalConference article

Annovi, A, Beretta, M, Bossini, E, Boveia, A, Brubaker, E, Canelli, F, Cavasinni, V, Crescioli, F, DeBerg, H, Dell'Orso, M, Dunford, M, Franklin, M, Giannetti, P, Kapliy, A, Kim, YK, Laurelli, P, McCarn, A, Melachrinos, C, Mills, C, Neubauer, M, Proudfoot, J, Piendibene, M, Punzi, G, Sarri, F, Sartori, L, Shochet, M, Tripiccione, L, Tuggle, J, Vivarelli, I, Volpi, G, Yorita, K & Zhang, J 2009, 'The fast tracker architecture for the LHC baseline luminosity', Proceedings of Science.
Annovi A, Beretta M, Bossini E, Boveia A, Brubaker E, Canelli F et al. The fast tracker architecture for the LHC baseline luminosity. Proceedings of Science. 2009 Dec 1.
Annovi, A. ; Beretta, M. ; Bossini, E. ; Boveia, A. ; Brubaker, E. ; Canelli, F. ; Cavasinni, V. ; Crescioli, F. ; DeBerg, H. ; Dell'Orso, M. ; Dunford, M. ; Franklin, M. ; Giannetti, P. ; Kapliy, A. ; Kim, Y. K. ; Laurelli, P. ; McCarn, A. ; Melachrinos, C. ; Mills, C. ; Neubauer, Mark ; Proudfoot, J. ; Piendibene, M. ; Punzi, G. ; Sarri, F. ; Sartori, L. ; Shochet, M. ; Tripiccione, L. ; Tuggle, J. ; Vivarelli, I. ; Volpi, G. ; Yorita, K. ; Zhang, J. / The fast tracker architecture for the LHC baseline luminosity. In: Proceedings of Science. 2009.
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abstract = "Hadron collider experiments search for extremely rare processes hidden in much higher background levels. Only a tiny fraction of the produced collisions can be stored on tape and an enormous real-time data reduction is needed. This requires massive computing power to minimize the on-line execution time of complex algorithms. A multi-level trigger is an effective solution for an otherwise impossible problem. The Fast Tracker (FTK) [1, 2] has been proposed for high quality track finding at very high rates (Level-1 output rates) for the ATLAS experiment. FTK will use FPGA and ASIC devices in order to complement CPUs. FTK beats the combinatorial challenge with special associative memories, where parallelism is exploited to the maximum level. The associative memories compare the track detector hits to all pre-calculated track patterns at once. The system design is defined and proposed for high-luminosity studies including low-PT B-physics and high-PT signatures for Level-2 selections: b-jets, tau-jets, and isolated light leptons. We test FTK algorithms using ATLAS full simulation with WH and Hqq events at 1034 cm -2s-1. The reconstruction quality is evaluated comparing FTK results with the tracking capability of an offline tracking algorithm. We show that similar resolutions and efficiencies are reached by FTK. The online use of the whole silicon tracker is necessary to obtain the low fake rate typical of the offline.",
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AU - Beretta, M.

AU - Bossini, E.

AU - Boveia, A.

AU - Brubaker, E.

AU - Canelli, F.

AU - Cavasinni, V.

AU - Crescioli, F.

AU - DeBerg, H.

AU - Dell'Orso, M.

AU - Dunford, M.

AU - Franklin, M.

AU - Giannetti, P.

AU - Kapliy, A.

AU - Kim, Y. K.

AU - Laurelli, P.

AU - McCarn, A.

AU - Melachrinos, C.

AU - Mills, C.

AU - Neubauer, Mark

AU - Proudfoot, J.

AU - Piendibene, M.

AU - Punzi, G.

AU - Sarri, F.

AU - Sartori, L.

AU - Shochet, M.

AU - Tripiccione, L.

AU - Tuggle, J.

AU - Vivarelli, I.

AU - Volpi, G.

AU - Yorita, K.

AU - Zhang, J.

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N2 - Hadron collider experiments search for extremely rare processes hidden in much higher background levels. Only a tiny fraction of the produced collisions can be stored on tape and an enormous real-time data reduction is needed. This requires massive computing power to minimize the on-line execution time of complex algorithms. A multi-level trigger is an effective solution for an otherwise impossible problem. The Fast Tracker (FTK) [1, 2] has been proposed for high quality track finding at very high rates (Level-1 output rates) for the ATLAS experiment. FTK will use FPGA and ASIC devices in order to complement CPUs. FTK beats the combinatorial challenge with special associative memories, where parallelism is exploited to the maximum level. The associative memories compare the track detector hits to all pre-calculated track patterns at once. The system design is defined and proposed for high-luminosity studies including low-PT B-physics and high-PT signatures for Level-2 selections: b-jets, tau-jets, and isolated light leptons. We test FTK algorithms using ATLAS full simulation with WH and Hqq events at 1034 cm -2s-1. The reconstruction quality is evaluated comparing FTK results with the tracking capability of an offline tracking algorithm. We show that similar resolutions and efficiencies are reached by FTK. The online use of the whole silicon tracker is necessary to obtain the low fake rate typical of the offline.

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