First prototype of a silicon tracker using an artificial retina for fast track finding

TL;DR

This paper presents the development of a silicon tracker prototype employing an artificial retina-inspired approach for rapid track detection, utilizing parallel data processing and FPGA technology.

Contribution

It introduces a novel neurobiology-inspired method for fast track finding in silicon trackers, demonstrating a practical FPGA-based implementation.

Findings

Successful design of a silicon telescope with artificial retina processing

Effective track finding and trigger capabilities demonstrated

Potential for future applications in high-energy physics experiments

Abstract

We report on the R\&D for a first prototype of a silicon tracker based on an alternative approach for fast track finding. The working principle is inspired from neurobiology, in particular by the processing of visual images by the brain as it happens in nature. It is based on extensive parallelisation of data distribution and pattern recognition. In this work we present the design of a practical device that consists of a telescope based on single-sided silicon detectors; we describe the data acquisition system and the implementation of the track finding algorithms using available digital logic of commercial FPGA devices. Tracking performance and trigger capabilities of the device are discussed along with perspectives for future applications.