CV Lattes
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Universidade de São Paulo (USP). Instituto de Física (IF) (Institutional affiliation from the last research proposal) Birthplace: Brazil
BSc in Physics at Universidade de São Paulo (2021) and PhD candidate in Particle and High Energy Physics at Universidade de São Paulo. In his research, he seeks ways to jet tag LHC jets using jet images with experiment-level variabels and the use of machine learning techniques, with emphasis in convolutional neural networks. He has experience on Experimental Methods and Instrumentation for Elementary Particles and Nuclear Physics, with emphasis on the quark and gluon plasma generated at the LHC, particle jets and machine learning. (Source: Lattes Curriculum)
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The quark-gluon plasma is a complex structure generated in relativistic heavy-ion collisions that we treat as a tightly bound ideal fluid, but which is formed by an internal structure of loosely bound quarks and gluons. Observing this structure experimentally is an open problem, but if possible, it would allow us to understand how it gives rise to this fluid. Therefore, the purpose of thi…
In this work we propose the phenomenological study of relativistic hydrodynamics in heavy ion collisions at RHIC and LHC energies. The aim of this project consists in the study of basic theoretical aspects of relativity, fundamentals of quantum mechanics, hydrodynamics and particle physics with the goal of understanding the basic aspects of the evolution of the quark gluon plasma. Moreove…
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