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http://hdl.handle.net/20.500.12386/23989
Title: | Clustering analysis for muon tomography data elaboration in the Muon Portal project | Authors: | Bandieramonte, M. ANTONUCCIO, Vincenzo Becciani, U. COSTA, Alessandro La Rocca, P. Massimino, P. Petta, C. Pistagna, C. Riggi, F. RIGGI, Simone SCIACCA, Eva VITELLO, FABIO ROBERTO |
Issue Date: | 2015 | Journal: | JOURNAL OF PHYSICS. CONFERENCE SERIES | Volume: | 16th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: Bridging Disciplines, ACAT 2014 | Number: | 608 | Issue: | 1 | First Page: | 012046 | Abstract: | Clustering analysis is one of multivariate data analysis techniques which allows to gather statistical data units into groups, in order to minimize the logical distance within each group and to maximize the one between different groups. In these proceedings, the authors present a novel approach to the muontomography data analysis based on clustering algorithms. As a case study we present the Muon Portal project that aims to build and operate a dedicated particle detector for the inspection of harbor containers to hinder the smuggling of nuclear materials. Clustering techniques, working directly on scattering points, help to detect the presence of suspicious items inside the container, acting, as it will be shown, as a filter for a preliminary analysis of the data. <P /> | Conference Name: | 16th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: Bridging Disciplines, ACAT 2014 | Conference Place: | Prague, Czech Republic | Conference Date: | 1-5 September, 2014 | URI: | http://hdl.handle.net/20.500.12386/23989 | URL: | https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012046 | ISSN: | 1742-6588 | DOI: | 10.1088/1742-6596/608/1/012046 | Bibcode ADS: | 2015JPhCS.608a2046B | Fulltext: | open |
Appears in Collections: | 3.01 Contributi in Atti di convegno |
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Bandieramonte_2015_J._Phys.__Conf._Ser._608_012046.pdf | 2.76 MB | Adobe PDF | View/Open |
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