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Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project
Physics collisions at 13 TeV are expected at the LHC with an average of 40-50 proton-proton collisions per bunch crossing under nominal conditions. Tracking at trigger level is an essential tool to control the rate in high-pileup conditions while maintaining a good efficiency for relevant physics pr...
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Lenguaje: | eng |
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SISSA
2015
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Acceso en línea: | https://dx.doi.org/10.22323/1.234.0265 http://cds.cern.ch/record/2117340 |
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author | Gramling, Johanna |
author_facet | Gramling, Johanna |
author_sort | Gramling, Johanna |
collection | CERN |
description | Physics collisions at 13 TeV are expected at the LHC with an average of 40-50 proton-proton collisions per bunch crossing under nominal conditions. Tracking at trigger level is an essential tool to control the rate in high-pileup conditions while maintaining a good efficiency for relevant physics processes. The Fast TracKer is an integral part of the trigger upgrade for the ATLAS detector. For every event passing the Level-1 trigger (at a maximum rate of 100 kHz) the FTK receives data from all the channels of the silicon detectors, providing tracking information to the High Level Trigger in order to ensure a selection robust against pile-up. The FTK performs a hardware-based track reconstruction, using associative memory that is based on the use of a custom chip, designed to perform pattern matching at very high speed. It finds track candidates at low resolution (roads) that seed a full-resolution track fitting done by FPGAs. An overview of the FTK system with focus on the pattern matching procedure will be presented. Furthermore, the expected performance and the integration of FTK within the ATLAS trigger system will be discussed. |
id | cern-2117340 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | SISSA |
record_format | invenio |
spelling | cern-21173402023-03-14T19:34:41Zdoi:10.22323/1.234.0265http://cds.cern.ch/record/2117340engGramling, JohannaHardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) ProjectDetectors and Experimental TechniquesPhysics collisions at 13 TeV are expected at the LHC with an average of 40-50 proton-proton collisions per bunch crossing under nominal conditions. Tracking at trigger level is an essential tool to control the rate in high-pileup conditions while maintaining a good efficiency for relevant physics processes. The Fast TracKer is an integral part of the trigger upgrade for the ATLAS detector. For every event passing the Level-1 trigger (at a maximum rate of 100 kHz) the FTK receives data from all the channels of the silicon detectors, providing tracking information to the High Level Trigger in order to ensure a selection robust against pile-up. The FTK performs a hardware-based track reconstruction, using associative memory that is based on the use of a custom chip, designed to perform pattern matching at very high speed. It finds track candidates at low resolution (roads) that seed a full-resolution track fitting done by FPGAs. An overview of the FTK system with focus on the pattern matching procedure will be presented. Furthermore, the expected performance and the integration of FTK within the ATLAS trigger system will be discussed.Physics collisions at 13 TeV are expected at the LHC with an average of 40-50 proton-proton collisions per bunch crossing under nominal conditions. Tracking at trigger level is an essential tool to control the rate in high-pileup conditions while maintaining a good efficiency for relevant physics processes. The Fast TracKer is an integral part of the trigger upgrade for the ATLAS detector. For every event passing the Level-1 trigger (at a maximum rate of 100 kHz) the FTK receives data from all the channels of the silicon detectors, providing tracking information to the High Level Trigger in order to ensure a selection robust against pile-up. The FTK performs a hardware-based track reconstruction, using associative memory that is based on the use of a custom chip, designed to perform pattern matching at very high speed. It finds track candidates at low resolution (roads) that seed a full-resolution track fitting done by FPGAs. An overview of the FTK system with focus on the pattern matching procedure will be presented. Furthermore, the expected performance and the integration of FTK within the ATLAS trigger system will be discussed.SISSAarXiv:1512.05806oai:cds.cern.ch:21173402015-12-17 |
spellingShingle | Detectors and Experimental Techniques Gramling, Johanna Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project |
title | Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project |
title_full | Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project |
title_fullStr | Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project |
title_full_unstemmed | Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project |
title_short | Hardware-based Tracking at Trigger Level for ATLAS: the Fast TracKer (FTK) Project |
title_sort | hardware-based tracking at trigger level for atlas: the fast tracker (ftk) project |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.22323/1.234.0265 http://cds.cern.ch/record/2117340 |
work_keys_str_mv | AT gramlingjohanna hardwarebasedtrackingattriggerlevelforatlasthefasttrackerftkproject |