The FastTracker Real Time Processor and Its Impact on Muon Isolation, Tau and b-Jet Online Selections at ATLAS

Alessandro Andreani(University of Milan), A. Andreazza(University of Milan), A. Annovi(Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati), M. Beretta(Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati), V. Bevacqua(University of Pisa), G. Blazey(Northern Illinois University), M. Bogdan(University of Chicago), E. Bossini(University of Siena), A. Boveia(University of Illinois Chicago), V. Cavaliere(University of Illinois Urbana-Champaign), F. Canelli(Fermi National Accelerator Laboratory), F. Cervigni(University of Pisa), Y. Cheng(University of Chicago), M. Citterio, F. Crescioli(University of Pisa), M. Dell’Orso(University of Pisa), G. Drake(Argonne National Laboratory), M. Dunford(University of Chicago), P. Giannetti, F. M. Giorgi(Istituto Nazionale di Fisica Nucleare, Sezione di Bologna), J. Hoff(Fermi National Accelerator Laboratory), A. Kapliy(University of Chicago), M. Kasten(University of Illinois Urbana-Champaign), Y. K. Kim(University of Chicago), N. Kimura(Waseda University), A. Lanza, L. Li(University of Illinois Chicago), Valentino Liberali(Istituto Nazionale di Fisica Nucleare, Sezione di Milano), T. Liu(Fermi National Accelerator Laboratory), D. Magalotti(University of Perugia), A. McCarn(University of Illinois Urbana-Champaign), C. Melachrinos(University of Illinois Chicago), C. Meroni, A. Negri(University of Pavia), M. S. Neubauer(University of Illinois Urbana-Champaign), J. Olsen(Fermi National Accelerator Laboratory), B. Penning(Fermi National Accelerator Laboratory), M. Piendibene(University of Pisa), J. Proudfoot(Argonne National Laboratory), M. Riva(Istituto Nazionale di Fisica Nucleare, Sezione di Milano), C. Roda(University of Pisa), F. Sabatini, I. Sacco(Heidelberg University), M. J. Shochet(University of Chicago), A. Stabile(University of Milan), F. Tang(University of Illinois Chicago), Jian Tang(University of Illinois Chicago), R. Tripiccione(University of Ferrara), J. M. Tuggle(University of Illinois Chicago), V. Vercesi, M. Villa(University of Bologna), R Vitillo, G. Volpi(Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati), J. S. Webster(University of Chicago), K. Yorita(Waseda University), J. Zhang(Argonne National Laboratory)
IEEE Transactions on Nuclear Science
January 26, 2012
Cited by 49

Abstract

As the LHC luminosity is ramped up to 3 <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$\,\times 10^{34}~{\hbox {cm}}^{2}~s^{1}$</tex></formula> 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 offline 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 while suppressing 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 to meet this challenge. The Fast Tracker (FTK) is an 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 inner detector by the start of processing in the Level-2 Trigger. FTK solves the combinatorial challenge inherent to tracking by exploiting the 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 relying on 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 <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$\mu{\hbox {s}}$</tex> </formula> . The system design is defined and the performance presented with respect to high transverse momentum (high- <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$p_{\rm T}$</tex></formula> ) Level-2 objects: b jets, tau jets, and isolated leptons. We test FTK algorithms using the full ATLAS simulation with WH events up to <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$3\times 10^{34}~{\hbox {cm}}^{2}{\hbox {s}}^{1}$</tex></formula> luminosity and compare the FTK results with the offline tracking capability. We present the architecture and the reconstruction performance for the mentioned high- <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$p_{\rm T}$</tex></formula> Level-2 objects.


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