An Orientation Selective Neural Network and its Application to Cosmic Muon Identification

Details An Orientation Selective Neural Network and its Application to Cosmic Muon Identification An Orientation Selective Neural Network and its Application to Cosmic Muon Identification

1996-02-15

arxiv.org/abs/hep-ex/9602006v1

Nucl.Instrum.Meth. A378 (1996) 305-311

Physics

High Energy Physics

High Energy Physics - Experiment

19 pages, 10 Postrcipt figures

Scientific paper

10.1016/0168-9002(96)00417-2

We propose a novel method for identification of a linear pattern of pixels on a two-dimensional grid. Following principles employed by the visual cortex, we employ orientation selective neurons in a neural network which performs this task. The method is then applied to a sample of data collected with the ZEUS detector at HERA in order to identify cosmic muons which leave a linear pattern of signals in the segmented uranium-scintillator calorimeter. A two dimensional representation of the relevant part of the detector is used. The results compared with a visual scan point to a very satisfactory cosmic muon identification. The algorithm performs well in the presence of noise and pixels with limited efficiency. Given its architecture, this system becomes a good candidate for fast pattern recognition in parallel processing devices.

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