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EnglishNuclear 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.
| Titolo: | GPU-based quasi-real-time Track Recognition in Imaging Devices: from raw Data to Particle Tracks |
| Autori: | |
| Data di pubblicazione: | 2015 |
| Rivista: | |
| 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. |
| Handle: | http://hdl.handle.net/11386/4647601 |
| Appare nelle tipologie: | 4.1.1 Proceedings con DOI |
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