Contribution to a conference proceedings/Internal Report

PUBDB-2015-05319

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png GPU-based quasi-real-time Track Recognition in Imaging Devices: from raw Data to Particle Tracks

Bozza, C. ; Kose, U. ; De Sio, C. ; Stellacci, S. M.

2015
Deutsches Elektronen-Synchrotron, DESY Hamburg

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Please use a persistent id in citations: doi:10.3204/DESY-PROC-2014-05/2

Report No.: DESY-PROC-2014-05

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 detector

Keyword(s): imaging ; nuclear emulsion ; track data analysis ; multiprocessor: graphics ; programming

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Contributing Institute(s):

1. Bibliothek und Dokumentation (L)

Research Program(s):

1. 899 - ohne Topic (POF3-899) (POF3-899)

Experiment(s):

1. HERA: H1

Appears in the scientific report 2015

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Database coverage:

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Proceedings/Internal Report Bonati, C. (Editor) ; D'Elia, M. (Editor) ; Lamanna, G. (Editor) ; Sozzi, M. (Editor)
Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014
2014GPU Computing in High-Energy Physics, GPUHEP2014, PisaPisa, Italy, 10 Sep 2014 - 12 Sep 20142014-09-102014-09-12 Hamburg : Deutsches Elektronen-Synchrotron, DESY (2014) [10.3204/DESY-PROC-2014-05]2014     Files BibTeX | EndNote: XML, Text | RIS

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