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Publikováno v:
Nuclear Physics B, Vol 944, Iss, Pp-(2019)
Nuclear Physics
Nuclear Physics
The problem of identifying the phase of a given system for a certain value of the temperature can be reformulated as a classification problem in Machine Learning. Taking as a prototype the Ising model and using the Support Vector Machine as a tool to
Publikováno v:
Nuclear Physics B, Vol 943, Iss, Pp-(2019)
Nuclear Physics
Nuclear Physics
Investigation of well-motivated parameter space in the theories of Beyond the Standard Model (BSM) plays an important role in new physics discoveries. However, a large-scale exploration of models with multi-parameter or equivalent solutions with a fi
Publikováno v:
Nuclear Physics B, 437. Elsevier
The set of modular invariants that can be obtained from Galois transformations is investigated systematically for WZW models. It is shown that a large subset of Galois modular invariants coincides with simple current invariants. For algebras of type