Pixel data real time processing as a next step for HL-LHC upgrades and beyond
arxiv(2022)
摘要
The experiments at LHC are implementing novel and challenging detector
upgrades for the High Luminosity LHC, among which the tracking systems. This
paper reports on performance studies, illustrated by an electron trigger, using
a simplified pixel tracker. To achieve a real-time trigger (e.g. processing
HL-LHC collision events at 40 MHz), simple algorithms are developed for
reconstructing pixel-based tracks and track isolation, utilizing look-up tables
based on pixel detector information. Significant gains in electron trigger
performance are seen when pixel detector information is included. In
particular, a rate reduction up to a factor of 20 is obtained with a signal
selection efficiency of more than 95% over the whole η coverage of this
detector. Furthermore, it reconstructs p-p collision points in the beam axis
(z) direction, with a high precision of 20 μm resolution in the very
central region (|η| < 0.8), and, up to 380 μm in the forward region
(2.7 < |η| < 3.0). This study as well as the results can easily be adapted
to the muon case and to the different tracking systems at LHC and other
machines beyond the HL-LHC. The feasibility of such real-time processing of the
pixel information is mainly constrained by the Level-1 trigger latency of the
experiment. How this might be overcome by the Front-End ASIC design, new
processors, and embedded Artificial Intelligence algorithms is briefly tackled
as well.
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