We present the design for the first prototype of a tracking system with 'artificial retina' for fast track finding. The 'artificial retina' is a tracking algorithm inspired by neurobiology and based on extensive parallelization of data distribution and pattern recognition. It allows track finding with a latency < 1 μs and with track parameter resolutions that are comparable with offline reconstruction results. This tracking system prototype consists of a telescope with 8 planes of single-sided strip detectors that are readout using custom ASICs providing hit position and pulse height. The 'artificial retina' algorithm can be implemented using commercial FPGAs organized in three main blocks: a switch for the parallel distribution of the hits, a pool of processing units for the digital processing of the hits and pattern recognition, and a block for track parameter calculations. We will discuss the implementation of the 'artificial retina' algorithm in the FPGAs, the performance of the device, and the perspectives for possible future applications.
Abba, A., Bedeschi, F., Caponio, F., Citterio, M., Coelli, S., Fu, J., et al. (2015). A retina-based cosmic rays telescope. In 2014 19th IEEE-NPSS Real Time Conference, RT 2014 - Conference Records. Institute of Electrical and Electronics Engineers Inc. [10.1109/RTC.2014.7097515].
A retina-based cosmic rays telescope
Petruzzo M.;
2015
Abstract
We present the design for the first prototype of a tracking system with 'artificial retina' for fast track finding. The 'artificial retina' is a tracking algorithm inspired by neurobiology and based on extensive parallelization of data distribution and pattern recognition. It allows track finding with a latency < 1 μs and with track parameter resolutions that are comparable with offline reconstruction results. This tracking system prototype consists of a telescope with 8 planes of single-sided strip detectors that are readout using custom ASICs providing hit position and pulse height. The 'artificial retina' algorithm can be implemented using commercial FPGAs organized in three main blocks: a switch for the parallel distribution of the hits, a pool of processing units for the digital processing of the hits and pattern recognition, and a block for track parameter calculations. We will discuss the implementation of the 'artificial retina' algorithm in the FPGAs, the performance of the device, and the perspectives for possible future applications.
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