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, M. NeubauerJ. Proudfoot, M. Piendibene, G. Punzi, F. Sarri, L. Sartori, M. Shochet, L. Tripiccione, J. Tuggle, I. Vivarelli, G. Volpi, Kohei Yorita, J. Zhang

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

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-P T B-physics and high-P T 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 10 34 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
Title of host publicationProceedings of Science
Publication statusPublished - 2009
Externally publishedYes
EventEuropean Physical Society Europhysics Conference on High Energy Physics, EPS-HEP 2009 - Krakow, Poland
Duration: 2009 Jul 162009 Jul 22

Other

OtherEuropean Physical Society Europhysics Conference on High Energy Physics, EPS-HEP 2009
CountryPoland
CityKrakow
Period09/7/1609/7/22

Fingerprint

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. In 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, M.; Proudfoot, J.; Piendibene, M.; Punzi, G.; Sarri, F.; Sartori, L.; Shochet, M.; Tripiccione, L.; Tuggle, J.; Vivarelli, I.; Volpi, G.; Yorita, Kohei; Zhang, J.

Proceedings of Science. 2009.

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

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. in Proceedings of Science. European Physical Society Europhysics Conference on High Energy Physics, EPS-HEP 2009, Krakow, Poland, 09/7/16.
Annovi A, Beretta M, Bossini E, Boveia A, Brubaker E, Canelli F et al. The fast tracker architecture for the LHC baseline luminosity. In Proceedings of Science. 2009
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, M. ; Proudfoot, J. ; Piendibene, M. ; Punzi, G. ; Sarri, F. ; Sartori, L. ; Shochet, M. ; Tripiccione, L. ; Tuggle, J. ; Vivarelli, I. ; Volpi, G. ; Yorita, Kohei ; Zhang, J. / The fast tracker architecture for the LHC baseline luminosity. 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-P T B-physics and high-P T 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 10 34 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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T1 - The fast tracker architecture for the LHC baseline luminosity

AU - Annovi, A.

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, M.

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, Kohei

AU - Zhang, J.

PY - 2009

Y1 - 2009

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-P T B-physics and high-P T 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 10 34 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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