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The increase of the luminosity in the High Luminosity upgrade of the CERN Large Hadron Collider (HL-LHC) will require the use of Tracker information in the evaluation of the Level-1 trigger in order to keep the trigger rate acceptable (i.e.: < 1MHz). A custom real-time system will be needed to extract the track information within the latency constraints (<10usec). We developed the prototype...
Real time event reconstruction plays a fundamental role in High Energy Physics experiments. The CDF experiment at the Tevatron collider performs a fast online reconstruction of high-resolution tracks using the Silicon Vertex Trigger (SVT). We will describe the architecture, the performance and the impact on CDF physics program of a next generation online track fitter, the GigaFitter, developed to...
Real time image analysis has undergone a rapid development in the last few years, due to the increasing availability of low cost computational power. However computing power is still a limit for some high quality applications. Highresolution medical image processing, for example, are strongly demanding for both memory (~250 MB) and computational capabilities allowing for 3D processing in affordable...
The Silicon-Vertex-Trigger (SVT) is a processor developed at CDF experiment to perform online fast and precise track reconstruction. SVT is made of two pipelined processors: the Associative Memory finds low precision tracks looking for coincidences between hits from the tracking detectors and track candidates (roads) stored in memory; the Track Fitter refines the track quality whith high precision...
Modern experiments search for extremely rare processes hidden in much larger background levels. As the experiment complexity, the accelerator backgrounds and luminosity increase we need increasingly exclusive selections to efficiently select the rare events inside the huge background. We present a fast, high-quality, track-based event selection for the self-triggered SLIM5 silicon telescope. This...
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