PPT-Clustering in light neutron-rich nuclei

Y KanadaEnyo Kyoto Univ Lesson1 Introduction of cluster phenomena Lesson2 Antisymmetrized molecular dynamics Lesson3 clustering in neutronrich Be. 2 Neutron Reflectometers Updates prepared by Helmut Fritzsche and Zin Tun Canadian Neutron Beam Centre A neutron reflectometer yields data to determine th e scatteringlength density profile of a flat sample as a functi Wolfram KORTEN. CEA . Saclay. DSM/IRFU/. SPhN. Shapes and shells in exotic nuclei. Prolate. Oblate. Quadrupole . deformation. . of. the nuclear ground states. M. Girod, CEA Bruy. ères-le-Châtel. Dominance of . Contents. Breakup reactions. of . 14. Be on a proton target. Inelastic scattering (. 14. Be). One-neutron removal reaction (. 13. Be). Y. Kondo. RIKEN . Nishina. Center. 2. Collaborators. Y. Kondo. 56. Ni. Masaki Sasano. RIKEN . Nishina. Center. Charge-Exchange (CE) reactions: . a tool for studying Gamow-Teller strengths. Very powerful probe. Many successful studies on stable nuclei. Gamow-Teller transition . . at J-PARC. Kiyoshi Tanida. . (Japan Atomic Energy Agency). 07/Oct./2015. NUFRA2015@Kemer, Turkey. Strangeness Nuclear Physics. Nuclei: many body systems of . nucleons. Can be extended by adding . issue in . computing a representative simplicial complex. . Mapper does . not place any conditions on the clustering . algorithm. Thus . any domain-specific clustering algorithm can . be used.. We . Fusion of Halo Nuclei Andrew LaJoie May 8, 2015 PHY 802 The Title The Quandary Effect of Halo Structure on Fusion cross section Enhancement Suppression Different Domains Sub-Coulomb-barrier energies 1. Mark Stamp. K-Means for Malware Classification. Clustering Applications. 2. Chinmayee. . Annachhatre. Mark Stamp. Quest for the Holy . Grail. Holy Grail of malware research is to detect previously unseen malware. Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A . tree-like . diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. nuclei. Y. . Kanada-En’yo. (Kyoto Univ.). Collaborators:. . Y. . . Hidaka(RIKEN), . T. Ichikawa(YITP), . . M. . . Kimura(Hokkaido), F. Kobayashi(Kyoto), . . T. . Suhara. (Matsue) . ,. Y. Taniguchi(Tsukuba). Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. Log. 2. transformation. Row centering and normalization. Filtering. Log. 2. Transformation. Log. 2. -transformation makes sure that the noise is independent of the mean and similar differences have the same meaning along the dynamic range of the values.. W. . Reviol, D. Rudolph, D.G. Sarantites, . C.J. Chiara. , D. . . Seweryniak. Washington . U. / Lund U. / U. of Maryland / ANL. Gretina Workshop, . ANL, . March . 2013. Neutron-Shell . Detectors. 35 hexagonal, tapered detectors.. Randomization tests. Cluster Validity . All clustering algorithms provided with a set of points output a clustering. How . to evaluate the “goodness” of the resulting clusters?. Tricky because .