The Conference on Perspectives in Nonlinear Dynamics PNLD 2019 was held between 16 and 19 July 2019 at ICTP-SAIFR, São Paulo, Brazil.
PNLD 2019 was a satellite to STATPHYS 27 which had been held from 8-12 July 2019 in Buenos Aires, Argentina in the preceding week. The PNLD series of meetings have been held as satellites to the STATPHYS conferences since 2004, and thus this is the fifth in the series.
The main aim in having this meeting in São Paulo was to focus on the open issues in Nonlinear science and to identify the directions in which the field is evolving. A second aim of the meeting was to bring together physicists working in the region and across the developing world.
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Topics for discussion that have been identified are
Recent developments in nonlinear dynamical systems (conservative and dissipative dynamics, noise and stochastic effects)
Spatiotemporal order and chaos
Synchronization, Control of Chaos and Communication
Nonlinearity in biological, socio-economic and technological systems
Dynamics on Networks and Multiplex networks
Ergodicity, mixing, turbulence and transport in passive scalar and active reacting flows
Computational Neuroscience
Climate dynamics
Social Networks, Urban computing
Organizers
Hilda Cerdeira (ICTP-IFT-UNESP, Brazil)
Silvina Ponce Dawson (Universidad de Buenos Aires, Argentina)
Neelima Gupte (IIT Madras, Chennai, India)
Roberto Kraenkel (IFT – UNESP, Brazil)
Gabriel Mindlin (Universidad de Buenos Aires, Argentina)
Ram Ramaswamy (Indian Institute of Technology- Delhi, India)
Ricardo Viana (UFPR, Brazil)
International Advisory Committee
Javier Martín Buldú (Complex Systems Group & GISC – URJC, Spain)
Mauro Copelli (UFPE, Brazil)
Celso Grebogi (University of Aberdeen, UK)
Mogens Hogh Jensen (Niels Bohr Institute, Denmark)
Kunihiko Kaneko (University of Tokyo, Japan)
Jürgen Kurths (Potsdam Institute for Climate Impact Research, Germany)
One of the factors that compromise the quality of the confinement of magnetically confined plasma is the anomalous transport of particles attributed to the electrostatic turbulence observed at the edge region of the plasma. There is no consensus yet about the dynamical nature of these fluctuations, and it is possible to find in the literature models that treat it as chaotic or stochastic.
One of the methods that proposes to distinguish the dynamical nature of fluctuations in time series is the Complexity-Entropy Diagram, a method that has recently been used in several areas, among them Plasma Physics.
In this work I shall present the results obtained using this method applied in the ion saturation current signal measured by Langmuir probes in the tokamak TCABR and compare it to published results of similar studies done in other machines.