1 TEST OF REAL-TIME IDENTIFICATION OF SPARSE DATA PATTERNS IN SILICON PIXEL DETECTORS MARCIN JASTRZAB *a,b , ANTONIO BULGHERONI c , MASSIMO CACCIA b , CHIARA CAPPELLINI b , GRZEGORZ CHWIERUT a , WOJCIECH KUCEWICZ a , FABIO RISIGO b a Electronics Department, AGH-University of Science and Technology, Al. Mickiewicza 30, Krakow 30-059, Poland b Dipartimento di Scienze CC.FF.MM., Università dell’Insubria, via Valleggio 11, 22100 Como, Italy c Dipartimento di Fisica, Università di Roma 3 e INFN Sezione di Roma 3, via della Vasca Navale 84, 00146 Roma, Italy 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. 1. Introduction 1.1. Monolithic Active Pixel Sensors in High Energy Physics Research and Development of Monolithic Active Pixel Sensors is focused on different technologies and architectures tailored to every specific application. The key figures steering the development for ILC may be outlined as follows: • Single point resolution at the micron level • Thickness/layer at the 0.1% of radiation length • Tolerance to radiation levels of ≈10 12 n/cm 2 /year and ≈5x10 12 e/cm 2 /year • Occupancy from background hits well below 1%. * corresponding author: jastrzab@agh.edu.pl