Development of a global method for reconstructing extensive showers using information theory and mathematical optimization

"Elaboration of a global method for reconstructing extensive showers using information theory and mathematical optimization" (master's degree). Candidate: Yugo Mafra Kuno. Advisor: professor José Augusto Chinellato. August 28, 2017, at 10 am, in the IFGW Postgraduate auditorium.

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