Smart readout of silicon drift detector using ON-LINE fuzzy logic

Abstract A Silicon Drift Detector Front-End and a Smart Readout is proposed for ALICE's ITS readout. It is based on a dedicated Fuzzy Processor. Four main aims can be achieved: a significant reduction of data volume toward mass storage; less matter across the particle trajectories; ON-LINE personalised calibration of the detector against temperature effects; more insensitivity to noise effect compared with traditional systems for both position and charge measurement. The system fulfils the requirement for ALICE Inner Tracker System Silicon Drift Detectors. This paper aims at illustrating to the Physics community the work presently done that has engaged many people for a long time.