Test of Real-Time Identification of Sparse Data Patterns in Silicon Pixel Detectors

Physics – Medical Physics

Scientific paper

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Scientific paper

Vertex reconstruction and Flavour Tagging in an experiment at the International Linear Collider (ILC) do require detectors well beyond the state-of-the-art and systems integrating up to 1 billion pixels. A data sparsification algorithm, applied to silicon pixel detectors to distinguish between signal and noise and providing an input for the off-line data analysis, has been developed and tested at different levels. The full exercise has been completed on algorithms implemented on the equipment computer. Real time implementation on the FPGA chip steering the DAQ system is currently being commissioned. Results are expected to be far reaching especially in terms of constraining the front-end architecture and electronics to get an on-sensor implementation. Moreover these developments are expected to be of relevance in the domain of radiolabeled biological sample imaging.

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