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The ATLAS Fast TracKer system
/ ATLAS Collaboration
The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. [...]
arXiv:2101.05078; CERN-EP-2020-232.-
Geneva : CERN, 2021 - 64 p.
- Published in : JINST 16 (2021) P07006
Fulltext: PDF; Fulltext from publisher: PDF; External link: Previous draft version
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The Associative Memory System Infrastructures for the ATLAS Fast Tracker
/ Sotiropoulou, C L (Pisa U.) ; Maznas, I (Aristotle U., Thessaloniki) ; Citraro, S (Pisa U.) ; Annovi, A (INFN, Pisa) ; Ancu, L S (Geneva U.) ; Beccherle, R (INFN, Pisa) ; Bertolucci, F (Pisa U.) ; Biesuz, N (Pisa U.) ; Calabrò, D (INFN, Pavia) ; Crescioli, F (Paris U., VI-VII) et al.
The associative memory (AM) system of fast tracker (FTK) processor has been designed for the tracking trigger upgrade to the ATLAS detector at the Conseil Europeen Pour La Recherche Nucleaire large hadron collider. The system performs pattern matching (PM) using the detector hits of particles in the ATLAS silicon tracker. [...]
2017 - 7 p.
- Published in : IEEE Trans. Nucl. Sci. 64 (2017) 1248-1254
In : 20th IEEE-NPSS Real Time Conference, Padua, Italy, 5 - 10 Jun 2016, pp.1248-1254
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A Pattern Recognition Mezzanine based on Associative Memory and FPGA technology for Level 1 Track Triggers for the HL-LHC upgrade
/ Magalotti, D (INFN, Perugia ; UNIMORE, Modena) ; Alunni, L (INFN, Perugia) ; Biesuz, N (INFN, Pisa) ; Bilei, G M (INFN, Perugia) ; Citraro, S (Pisa U.) ; Crescioli, F (Paris U., VI-VII) ; Fanò, L (INFN, Perugia) ; Fedi, G (INFN, Pisa) ; Magazzù, G (INFN, Pisa) ; Servoli, L (INFN, Perugia) et al.
The increment of luminosity at HL-LHC will require the introduction of tracker information at Level-1 trigger system for the experiments in order to maintain an acceptable trigger rate for selecting interesting events despite the one order of increased magnitude in the minimum bias interactions. In order to extract the track information in the required latency (~ 5–10 μ s depending on the experiment), a dedicated hardware processor needs to be used. [...]
2016 - 9 p.
- Published in : JINST 11 (2016) C02063
In : Topical Workshop on Electronics for Particle Physics, Lisbon, Portugal, 28 Sep - 2 Oct 2015, pp.C02063
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Highly parallelized pattern matching execution for the ATLAS experiment
/ Annovi, A (INFN, Pisa) ; Bertolucci, F (INFN, Pisa) ; Biesuz, N (Pisa U.) ; Calabro, D (INFN, Pavia) ; Calderini, G (Paris U., VI-VII) ; Citraro, S (Pisa U.) ; Crescioli, F (Paris U., VI-VII) ; Dimas, D (Prisma Electronics SA, Athens) ; Dell'Orso, M (Pisa U.) ; Donati, S (Pisa U.) et al.
The Associative Memory (AM) system of the Fast TracKer (FTK) processor has been designed to perform pattern matching using as input the data from the silicon tracker in the ATLAS experiment. The AM is the primary component of the FTK system and is designed using ASIC technology (the AM chip) to execute pattern matching with a high degree of parallelism. [...]
2016 - 3 p.
- Published in : 10.1109/NSSMIC.2015.7581789
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015, pp.7581789
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The ATLAS Data Acquisition and High Level Trigger system
/ Abolins, M (Michigan State U.) ; Abreu, R (CERN) ; Achenbach, R (Kirchhoff Inst. Phys.) ; Aharrouche, M (Mainz U., Inst. Phys.) ; Aielli, G (INFN, Rome ; Rome U., Tor Vergata) ; Al-Shabibi, A (CERN) ; Aleksandrov, I (Dubna, JINR) ; Alexandrov, E (Dubna, JINR) ; Allbrooke, B M (Birmingham U.) ; Aloisio, A (INFN, Naples ; Naples U.) et al.
/ATLAS TDAQ
This paper describes the data acquisition and high level trigger system of the ATLAS experiment at the Large Hadron Collider at CERN, as deployed during Run 1. Data flow as well as control, configuration and monitoring aspects are addressed. [...]
2016 - 153 p.
- Published in : JINST 11 (2016) P06008
IOP Open Access article: PDF;
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The ATLAS fast tracker processor design
/ Volpi, Guido (INFN, Pisa ; Pisa U.) ; Adelman, Jahred (Yale U.) ; Albicocco, Pietro (Frascati) ; Alison, John (Pennsylvania U.) ; Ancu, Lucian Stefan (Geneva U.) ; Anderson, James (JIVE, Dwingeloo) ; Andari, Nansi (Tours U., CNRS) ; Andreani, Alessandro (INFN, Milan Bicocca ; Milan Bicocca U.) ; Andreazza, Attilio (INFN, Milan ; Milan U.) ; Annovi, Alberto (INFN, Pisa) et al.
The extended use of tracking information at the trigger level in the LHC is crucial for the trigger and data acquisition (TDAQ) system to fulfill its task. Precise and fast tracking is important to identify specific decay products of the Higgs boson or new phenomena, as well as to distinguish the contributions coming from the many collisions that occur at every bunch crossing. [...]
SISSA, 2015 - 10 p.
- Published in : PoS VERTEX2015 (2015) 040
Fulltext: PDF; External link: Published version from PoS
In : 24th International Workshop on Vertex Detectors, Santa Fe, NM, USA, 1 - 5 Jun 2015, pp.040
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High Performance Embedded System for Real-Time Pattern Matching
/ Sotiropoulou, Calliope Louisa (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Luciano, Pierluigi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Gkaitatzis, Stamatios (Aristotle University of Thessaloniki) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Giannetti, Paola (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Dell'Orso, Mauro (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica)
In this paper we present an innovative and high performance embedded system for real-time pattern matching. [...]
ATL-DAQ-PROC-2016-005.
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2016. - 4 p.
Original Communication (restricted to ATLAS) - Full text
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9.
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High Performance Embedded System for Real-Time Pattern Matching
/ Sotiropoulou, Calliope Louisa (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Luciano, Pierluigi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Gkaitatzis, Stamatios (Aristotle University of Thessaloniki) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Giannetti, Paola (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Dell'Orso, Mauro (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica)
We present an innovative and high performance embedded system for real-time pattern matching. This system is based on the evolution of hardware and algorithms developed for the field of High Energy Physics (HEP) and more specifically for the execution of extremely fast pattern matching for tracking of particles produced by proton-proton collisions in hadron collider experiments. [...]
ATL-DAQ-SLIDE-2016-091.-
Geneva : CERN, 2016 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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The Future Evolution of the Fast TracKer Processing Unit
/ Gentsos, Christos (Aristotle University of Thessaloniki) ; Crescioli, Francesco (Laboratoire de Physique Nucleaire et de Hautes Energies (LPNHE), UPMC, Universite Paris-Diderot, CNRS/IN2P3) ; Magalotti, Daniel (INFN Laboratori Nazionali di Frascati) ; Bertolucci, Federico (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Kordas, Kostantinos (Aristotle University of Thessaloniki) ; Nikolaidis, Spyridon (Aristotle University of Thessaloniki)
Real time tracking is a key ingredient for online event selection at hadron colliders. The Silicon Vertex Tracker at the CDF experiment and the Fast Tracker (FTK) at ATLAS are two successful examples of the importance of dedicated hardware to reconstruct full events at hadron machines. [...]
ATL-DAQ-SLIDE-2016-027.-
Geneva : CERN, 2016 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015
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