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CERN Document Server 13 εγγραφές βρέθηκαν  1 - 10επόμενο  μετάβαση στην εγγραφή: Η έρευνα πήρε 0.88 δευτερόλεπτα. 
1.
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
2.
The ATLAS Fast Tracker Processing Units - track finding and fitting / ATLAS Collaboration
The Fast Tracker is a hardware upgrade to the ATLAS trigger and data-acquisition system, with the goal of providing global track reconstruction by the start of the High Level Trigger starts. [...]
ATL-DAQ-PROC-2016-030.
- 2016. - 3 p.
Original Communication (restricted to ATLAS) - Full text
3.
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
4.
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.
- 2016. - 4 p.
Original Communication (restricted to ATLAS) - Full text
5.
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)
6.
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
7.
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. [...]
ATL-DAQ-PROC-2015-060.
- 2015. - 3 p.
Original Communication (restricted to ATLAS) - Full text
8.
Highly Parallelized Pattern Matching Execution for the ATLAS Experiment / Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica)
Abstract– 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. [...]
ATL-DAQ-PROC-2015-057.
- 2015. - 2 p.
Original Communication (restricted to ATLAS) - Full text
9.
Highly Parallelized Pattern Matching Execution for the ATLAS Experiment / Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica)
The trigger system of the ATLAS experiment at LHC will extend its rejection capabilities during operations in 2015-2018 by introducing the Fast TracKer system (FTK). FTK is a hardware based system capable of finding charged particle tracks by analyzing hits in silicon detectors at the rate of 105 events per second. [...]
ATL-DAQ-SLIDE-2015-808.- Geneva : CERN, 2015 - 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
10.
FTK AMchip05: an Associative Memory Chip Prototype for Track Reconstruction at Hadron Collider Experiments / Crescioli, Francesco (Laboratoire de Physique Nucleaire et de Hautes Energies (LPNHE), UPMC, Universite Paris-Diderot, CNRS/IN2P3) ; Annovi, Alberto (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Beretta, Matteo (INFN Laboratori Nazionali di Frascati) ; Beccherle, Roberto (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Giannetti, Paola (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Liberali, Valentino (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Luciano, Pierluigi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Rossi, Enrico (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Stabile, Alberto (INFN Milano and Universita' di Milano, Dipartimento di Fisica) et al.
The ATLAS FTK track trigger project is an upcoming upgrade for the ATLAS trigger system currently under installation. A first reduced-coverage FTK is expected to take data by the end of 2015, while full detector coverage will be reached in 2016 and more processing power will be added in 2017-2018. [...]
ATL-DAQ-SLIDE-2015-460.- Geneva : CERN, 2015 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : European Physical Society Conference on High Energy Physics 2015, Vienna, Austria, 22 - 29 Jul 2015

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