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

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 qua...

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Detalles Bibliográficos
Autores principales: Bozza, Cristiano, Kose, Umut, De Sio, Chiara, Stellacci, Simona Maria
Lenguaje:eng
Publicado: 2015
Materias:
Detectors and Experimental Techniques
Computing and Computers
Acceso en línea:https://dx.doi.org/10.3204/DESY-PROC-2014-05/2
http://cds.cern.ch/record/2043871
Descripción
Sumario: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 detector

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