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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...
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...
The silicon-vertex-trigger (SVT) at CDF is made of two pipelined processors: the associative-memory, AM, finding low precision tracks (roads) and the track-fitter, TF, refining the track quality with high-precision fits. We describe a next generation track fitter, the GigaFitter, that performs more than a fit per nanosecond. This device is based on modern FPGA technology, rich of powerful DSP arrays,...
The CDF associative-memory device, AM, proven technology developed for the Silicon-Vertex-Trigger at the CDF experiment, is one of the proposed solutions at CMS for track reconstruction at Level-1 in the Super-LHC very high-luminosity conditions (100 proton-proton collisions every 12.5 ns, at 1035 cm-2 sec-1). This luminosity requires a drastic revision of the existing trigger strategies. SVT is the...
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