Higher LHC energy and luminosity increase the challenge of track reconstruction for the ATLAS trigger. To effectively handle the very high data rate, a dedicated hardware-based system has been designed. The Fast Track Trigger (FTK) will provide high quality track reconstruction over the entire detector volume to be run after the first level trigger has accepted an event. It will help to improve the efficiency and background rejection for triggers on tau leptons and b-hadrons by the second level trigger and help reduce the luminosity dependence of isolation requirements for electrons and muons. In this paper we present the status of associative memory design and its future development
An overview of the ATLAS Fast Tracker processor is presented, reporting the design of the system, it...
We describe the design and expected performance of a the Fast Tracker Trigger (FTK) system for the A...
We propose a new generation of VLSI processor for pattern recognition based on Associative Memory ar...
The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger ...
The Fast Tracker (FTK) is a proposed upgrade to the ATLAS trigger system that will operate at full L...
A track reconstruction system for the trigger of the ATLAS detector at the Large Hadron Collider is ...
The design and studies of the performance for the ATLAS hardware Fast TracKer (FTK) are presented. T...
After a very successful data taking run, the ATLAS experiment [1] is being upgraded to cope with the...
The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger ...
Modern experiments at hadron colliders search for extremely rare processes hidden in a very large ba...
Selecting interesting events with triggering is very challenging at the LHC due to the busy hadronic...
none51The existing three-level ATLAS trigger system is deployed to reduce the event rate from the bu...
The trigger system at the ATLAS experiment is designed to lower the event rate occurring from the no...
The associative memory (AM) system of fast tracker (FTK) processor has been designed for the trackin...
Physics collisions at 13 TeV are expected at the LHC with an average of 40-50 proton-proton collisio...
An overview of the ATLAS Fast Tracker processor is presented, reporting the design of the system, it...
We describe the design and expected performance of a the Fast Tracker Trigger (FTK) system for the A...
We propose a new generation of VLSI processor for pattern recognition based on Associative Memory ar...
The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger ...
The Fast Tracker (FTK) is a proposed upgrade to the ATLAS trigger system that will operate at full L...
A track reconstruction system for the trigger of the ATLAS detector at the Large Hadron Collider is ...
The design and studies of the performance for the ATLAS hardware Fast TracKer (FTK) are presented. T...
After a very successful data taking run, the ATLAS experiment [1] is being upgraded to cope with the...
The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger ...
Modern experiments at hadron colliders search for extremely rare processes hidden in a very large ba...
Selecting interesting events with triggering is very challenging at the LHC due to the busy hadronic...
none51The existing three-level ATLAS trigger system is deployed to reduce the event rate from the bu...
The trigger system at the ATLAS experiment is designed to lower the event rate occurring from the no...
The associative memory (AM) system of fast tracker (FTK) processor has been designed for the trackin...
Physics collisions at 13 TeV are expected at the LHC with an average of 40-50 proton-proton collisio...
An overview of the ATLAS Fast Tracker processor is presented, reporting the design of the system, it...
We describe the design and expected performance of a the Fast Tracker Trigger (FTK) system for the A...
We propose a new generation of VLSI processor for pattern recognition based on Associative Memory ar...