Nuclear emulsions as tracking devices have been used by recent experiments thanks to fast automatic microscopes for emulsion readout. Automatic systems are evolving towards GPU-based solutions. Real-time imaging is needed to drive the motion of the microscope axes and 3D track recognition occurs quasi-online in local GPU clusters. The algorithms implemented in the Quick Scanning System are sketched. Most of them are very general and might turn out useful for other detectors.

GPU-based quasi-real-time Track Recognition in Imaging Devices: from raw Data to Particle Tracks

BOZZA, Cristiano;DE SIO, CHIARA;STELLACCI, SIMONA MARIA
2015-01-01

Abstract

Nuclear emulsions as tracking devices have been used by recent experiments thanks to fast automatic microscopes for emulsion readout. Automatic systems are evolving towards GPU-based solutions. Real-time imaging is needed to drive the motion of the microscope axes and 3D track recognition occurs quasi-online in local GPU clusters. The algorithms implemented in the Quick Scanning System are sketched. Most of them are very general and might turn out useful for other detectors.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4647601
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