Open this publication in new window or tab >>Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Univ Geneva, Dept Phys Nucl & Corpusculaire, Quai Ernest Ansermet 24, CH-1205 Geneva, Switzerland..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Aristotle Univ Thessaloniki, Fac Sci bldg, Dept Nucl & Elementary Particle Phys, AUTh Campus, Thessaloniki 54124, Greece..
Univ Copenhagen, Niels Bohr Inst NBI, Blegdamsvej 17, DK-2100 Copenhagen, Denmark..
Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Univ Geneva, Dept Phys Nucl & Corpusculaire, Quai Ernest Ansermet 24, CH-1205 Geneva, Switzerland..
Heidelberg Univ, Phys Inst, Neuenheimer Feld 226, D-69120 Heidelberg, Germany..
Univ Geneva, Dept Phys Nucl & Corpusculaire, Quai Ernest Ansermet 24, CH-1205 Geneva, Switzerland..
Univ Pisa, INFN Sez Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy.;Univ Pisa, Dipartimento Fis, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Aristotle Univ Thessaloniki, Fac Sci bldg, Dept Nucl & Elementary Particle Phys, AUTh Campus, Thessaloniki 54124, Greece..
Univ Copenhagen, Niels Bohr Inst NBI, Blegdamsvej 17, DK-2100 Copenhagen, Denmark..
Heidelberg Univ, Phys Inst, Neuenheimer Feld 226, D-69120 Heidelberg, Germany..
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2023 (English)In: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 18, no 6, article id P06029Article in journal (Refereed) Published
Abstract [en]
The fast reconstruction of charged particle tracks with high efficiency and track quality is an essential part of the online data selection for the ATLAS experiment at the High Luminosity LHC. Dedicated custom designed hardware boards and software simulations have been developed to assess the feasibility of a Hardware Tracking Trigger (HTT) system. The Pattern Recognition Mezzanine (PRM), as part of the HTT system, has been designed to recognize track candidates in silicon detectors with Associative Memory ASICs and to select and reconstruct tracks using linearized algorithms implemented in an Intel Stratix 10 MX FPGA. The highly parallelized FPGA design makes extensive use of the integrated High-Bandwidth-Memory.In this paper, the FPGA design for the PRM board is presented. Its functionalities have been verified in both simulations and hardware tests on an Intel Stratix 10 MX development kit.
Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2023
Keywords
Online farms and online filtering, Pattern recognition, cluster finding, calibration and fitting methods, Trigger algorithms, Trigger concepts and systems (hardware and software)
National Category
Accelerator Physics and Instrumentation
Identifiers
urn:nbn:se:uu:diva-519553 (URN)10.1088/1748-0221/18/06/P06029 (DOI)001122927700001 ()
2024-01-092024-01-092024-01-09Bibliographically approved