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Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification

The ATLAS experiment has planned a major upgrade in view of the enhanced luminosity of the beam delivered by the Large Hadron Collider (LHC) in 2021. As part of this, the trigger at Level-1 based on calorimeter data will be upgraded to exploit fine-granularity readout using a new system of Feature E...

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Autores principales: Vieira De Souza, Julio, Bauss, Bruno, B\"uscher, Volker, Degele, Reinold, Herr, Holger, Rave, Stefan, Rocco, Elena, Schaefer, Uli, Tapprogge, Stefan, Weirich, Marcel, Borga, Andrea, Kahra, Christian
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2310346
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author Vieira De Souza, Julio
Bauss, Bruno
B\"uscher, Volker
Degele, Reinold
Herr, Holger
Rave, Stefan
Rocco, Elena
Schaefer, Uli
Tapprogge, Stefan
Weirich, Marcel
Borga, Andrea
Kahra, Christian
author_facet Vieira De Souza, Julio
Bauss, Bruno
B\"uscher, Volker
Degele, Reinold
Herr, Holger
Rave, Stefan
Rocco, Elena
Schaefer, Uli
Tapprogge, Stefan
Weirich, Marcel
Borga, Andrea
Kahra, Christian
author_sort Vieira De Souza, Julio
collection CERN
description The ATLAS experiment has planned a major upgrade in view of the enhanced luminosity of the beam delivered by the Large Hadron Collider (LHC) in 2021. As part of this, the trigger at Level-1 based on calorimeter data will be upgraded to exploit fine-granularity readout using a new system of Feature Extractors (three in total), which each uses different physics objects for the trigger selection. The contribution focusses on the jet Feature EXtractor (jFEX) prototype. Up to a data volume of 2 TB/s has to be processed to provide jet identification (including large area jets) and measurements of global variables within few hundred nanoseconds latency budget. Such requirements translate into the use of large Field Programmable Gate Array (FPGA) with the largest number of Multi Gigabit Transceivers (MGTs) available on the market. The jFEX board prototype hosts four large FPGAs from the Xilinx Ultrascale family with 120 MGTs each, connected to 24 opto-electrical devices, resulting in a densely populated high speed signal board. MEGTRON6 was chosen as the material for the 24 layers jFEX board stackup because of its property of low transmission loss with high frequency signals (GHz range) and to further preserve the signal integrity special care has been put into the design accompanied by simulation to optimise the voltage drop and minimise the current density over the power planes. The jFEX prototype was delivered at the beginning of December and the preliminary results on the design validation and board characterisation will be reported.
id cern-2310346
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-23103462019-09-30T06:29:59Zhttp://cds.cern.ch/record/2310346engVieira De Souza, JulioBauss, BrunoB\"uscher, VolkerDegele, ReinoldHerr, HolgerRave, StefanRocco, ElenaSchaefer, UliTapprogge, StefanWeirich, MarcelBorga, AndreaKahra, ChristianDesign and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identificationParticle Physics - ExperimentThe ATLAS experiment has planned a major upgrade in view of the enhanced luminosity of the beam delivered by the Large Hadron Collider (LHC) in 2021. As part of this, the trigger at Level-1 based on calorimeter data will be upgraded to exploit fine-granularity readout using a new system of Feature Extractors (three in total), which each uses different physics objects for the trigger selection. The contribution focusses on the jet Feature EXtractor (jFEX) prototype. Up to a data volume of 2 TB/s has to be processed to provide jet identification (including large area jets) and measurements of global variables within few hundred nanoseconds latency budget. Such requirements translate into the use of large Field Programmable Gate Array (FPGA) with the largest number of Multi Gigabit Transceivers (MGTs) available on the market. The jFEX board prototype hosts four large FPGAs from the Xilinx Ultrascale family with 120 MGTs each, connected to 24 opto-electrical devices, resulting in a densely populated high speed signal board. MEGTRON6 was chosen as the material for the 24 layers jFEX board stackup because of its property of low transmission loss with high frequency signals (GHz range) and to further preserve the signal integrity special care has been put into the design accompanied by simulation to optimise the voltage drop and minimise the current density over the power planes. The jFEX prototype was delivered at the beginning of December and the preliminary results on the design validation and board characterisation will be reported.ATL-DAQ-SLIDE-2018-136oai:cds.cern.ch:23103462018-03-26
spellingShingle Particle Physics - Experiment
Vieira De Souza, Julio
Bauss, Bruno
B\"uscher, Volker
Degele, Reinold
Herr, Holger
Rave, Stefan
Rocco, Elena
Schaefer, Uli
Tapprogge, Stefan
Weirich, Marcel
Borga, Andrea
Kahra, Christian
Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification
title Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification
title_full Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification
title_fullStr Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification
title_full_unstemmed Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification
title_short Design and testing of the high speed signal densely populated ATLAS calorimeter trigger board dedicate to jet identification
title_sort design and testing of the high speed signal densely populated atlas calorimeter trigger board dedicate to jet identification
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2310346
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