Clustering analysis for muon tomography data elaboration in the Muon Portal project

16th International workshop on Advanced Computing and Analysis Techniques in physics research

物理学;计算机科学

Bandieramonte, M.^1,2 ; Antonuccio-Delogu, V.^2 ; Becciani, U.^2 ; Costa, A.^2 ; La Rocca, P.^1,3 ; Massimino, P.^2 ; Petta, C.^1,3 ; Pistagna, C.^2 ; Riggi, F.^1,3 ; Riggi, S.^2 ; Sciacca, E.^2 ; Vitello, F.^2

Dept. of Physics and Astronomy, University of Catania, Italy^1

INAF, Astrophysics Observatory of Catania, Italy^2

INFN, Section of Catania, Italy^3

关键词: Clustering analysis;    Clustering techniques;    Multivariate data analysis;    Nuclear material;    Preliminary analysis;    Statistical datas;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012046/pdf
DOI  :  10.1088/1742-6596/608/1/012046

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.