[en] The second colloque franco-japonais de physique nucleaire was entirely devoted to nuclear physics with heavy ion beams, a field of research in which both Japan and France are investing a lot of efforts. The main topics investigated were: nuclear structure, macroscopic aspects, and reaction mechanisms

[en] This report contains theoretical and experimental contributed papers on selected aspects of heavy ion reactions

No abstract available

[en] In prospect of the start-up, at the Grenoble Nuclear Science Institute, of the SARA system giving heavy ions of maximum energy 38 MeV per nucleon the physics of heavy ions in this energy range is reviewed

[en] The conference proceedings were divided into 11 parts: Molecular and orbiting phenomena (2 papers), Polarization and deformation (2 papers), Heavy-ion reaction mechanisms (5 papers), Particle correlations, interferometry (3 papers), Hot nuclei (1 paper), Collective and chaotic behavior (1 paper), Exotic beams (2 papers), Equation of state, intermediate energy collisions (8 papers), e⁺e^- puzzle (1 paper), Ultrarelativistic heavy-ion collisions (3 papers), Other subjects (1 paper). A separate abstract was prepared for each paper. Refs, figs and tabs

[en] The book deals with the experimental and theoretical status of heavy ion resonances. Experimental results for search of resonances are presented from the ⁹Be-¹²C system to ⁴⁰Ca-⁴⁰Ca system with resonance spins from I=0 to I=42. Determination of resonance parameters such as spin and partial width are discussed. All available theoretical approaches (Generator Coordinate Method, Band Crossing Model, Two Center Shell Model) are examined and discussed. (G.V.)

[en] Separate abstracts were prepared for each of the 8 papers presented

No abstract available

[en] Talks presented at the Third Summer Study on High Energy Heavy Ion Physics at the Lawrence Berkeley Laboratory 12-16 July 1976 are assembled. Contributions from all 11 speakers are included, most of which are in outline form only

[en] We present different methods of unsupervised learning which can be used for outlier detection in high energy nuclear collisions. This method is of particular interest for heavy ion collisions where a direct comparison of experimental data to model simulations is often ambiguous and it is not easy to determine whether an observation is due to new physics, an incomplete understanding of the known physics or an experimental artefact. The UrQMD model is used to generate the bulk background of events as well as different variants of outlier events which may result from misidentified centrality or detector malfunctions. The methods presented here can be generalized to different and novel physics effects. To detect the outliers, dimensional reduction algorithms are implemented, speciftically the Principle Component Analysis (PCA) and Autoencoders (AEN). We find that mainly the reconstruction error is a good measure to distinguish outliers from background. The performance of the algorithms is compared using a ROC curve. It is shown that the number of reduced (encoded) dimensions to describe a single event contributes significantly to the performance of the outlier detection task. We find that the model which is best suited to separate outlier events requires a good performance in reconstructing events and at the same time a small number of parameters. (paper)