Design of a hardware track finder (Fast Tracker) for the ATLAS trigger

V. Cavaliere, J. Adelman, P. Albicocco, J. Alison, L. S. Ancu, J. Anderson, N. Andari, A. Andreani, A. Andreazza, A. Annovi, M. Antonelli, N. Asbah, M. Atkinson, J. Baines, E. Barberio, R. Beccherle, M. Beretta, F. Bertolucci, N. V. Biesuz, R. BlairM. Bogdan, A. Boveia, D. Britzger, P. Bryant, B. Burghgrave, G. Calderini, A. Camplani, V. Cavasinni, D. Chakraborty, P. Chang, Y. Cheng, S. Citraro, M. Citterio, F. Crescioli, N. Dawe, M. Dell'Orso, S. Donati, P. Dondero, G. Drake, S. Gadomski, M. Gatta, C. Gentsos, P. Giannetti, S. Gkaitatzis, J. Gramling, J. W. Howarth, T. Iizawa, N. Ilic, Z. Jiang, T. Kaji, M. Kasten, Y. Kawaguchi, Y. K. Kim, N. Kimura, T. Klimkovich, M. Kolb, K. Kordas, K. Krizka, T. Kubota, A. Lanza, H. L. Li, V. Liberali, M. Lisovyi, L. Liu, J. Love, P. Luciano, C. Luongo, D. Magalotti, I. Maznas, C. Meroni, T. Mitani, H. Nasimi, A. Negri, P. Neroutsos, M. Neubauer, S. Nikolaidis, Y. Okumura, C. Pandini, C. Petridou, M. Piendibene, J. Proudfoot, P. Rados, C. Roda, E. Rossi, Y. Sakurai, D. Sampsonidis, J. Saxon, S. Schmitt, A. Schoening, M. Shochet, S. Shojaii, H. Soltveit, C. L. Sotiropoulou, A. Stabile, M. Swiatlowski, F. Tang, P. T. Taylor, M. Testa, L. Tompkins, V. Vercesi, G. Volpi, R. Wang, R. Watari, J. Webster, X. Wu, K. Yorita, A. Yurkewicz, J. C. Zeng, J. Zhang, R. Zou

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


The use of tracking information at the trigger level in the LHC Run II period is crucial for the trigger and data acquisition system and will be even more so as contemporary collisions that occur at every bunch crossing will increase in Run III. The Fast TracKer is part of the ATLAS trigger upgrade project; it is a hardware processor that will provide every Level-1 accepted event (100 kHz) and within 100μs, full tracking information for tracks with momentum as low as 1 GeV . Providing fast, extensive access to tracking information, with resolution comparable to the offline reconstruction, FTK will help in precise detection of the primary and secondary vertices to ensure robust selections and improve the trigger performance.

Original languageEnglish
Article numberC02056
JournalJournal of Instrumentation
Issue number2
Publication statusPublished - Feb 18 2016
Externally publishedYes


  • Data reduction methods
  • Pattern recognition, cluster finding, calibration and fitting methods
  • Trigger algorithms
  • Trigger concepts and systems (hardware and software)

ASJC Scopus subject areas

  • Mathematical Physics
  • Instrumentation


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