MPA-SSA, design and test of a 65nm ASIC-based system for particle tracking at HL-LHC featuring on-chip particle discrimination

nuclear science symposium and medical imaging conference(2019)

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摘要
Particle tracking detectors for High Energy Physics need a new readout technique to cope with the increase of the collision rate foreseen for the High Luminosity LHC upgrade. In particular, the selection of interesting physics events at the first trigger stage becomes extremely challenging at high luminosity, not only because of the rate increase, but also because the selection algorithms become inefficient in high pileup conditions. A substantial increase of latency and trigger rate provides an improvement that is not sufficient to preserve the tracking performance of the current system. A possible solution consists of using tracking information for the event selection.Given a limited bandwidth, the use of tracking information for the event selection implies that the tracker has to send out self-selected information for every event. This is the reason why front-end electronics need to perform a local data reduction. This functionality relies on the capability of continuous particle discrimination on-chip based on the transverse momentum.The high complexity of the digital logic for particle selection and the very low power requirement of 95% in particle selection and a data reduction from ∼30Gbps/cm2 to ∼0.7Gbps/cm2Two full-size and full-functionality prototypes, called MPA and SSA, have been designed, produced and tested. These two readout front-end ASICs perform binary readout of silicon modules which combine pixel and strip sensors, full-event storage with triggered readout, and continuous data selection with trigger-less readout.
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continuous particle discrimination on-chip,particle selection,low power requirement,high ionizing radiation dose,readout front-end ASIC,full-event storage,triggered readout,continuous data selection,trigger-less readout,on-chip particle discrimination,particle tracking detectors,High Energy Physics,readout technique,collision rate,High Luminosity LHC upgrade,trigger stage,selection algorithms,high pileup conditions,tracking performance,tracking information,event selection,local data reduction,ASIC-based system,size 65.0 nm
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