Polytechnic University of Turin

About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Computer science. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.

Overview of the JET results in support to ITER

Abstract: The 2014-2016 JET results are reviewed in the light of their significance for optimising the ITER research plan for the active and non-active operation. More than 60 h of plasma operation with ITER first wall materials successfully took place since its installation in 2011. New multi-machine scaling of the type I-ELM divertor energy flux density to ITER is supported by first principle modelling. ITER relevant disruption experiments and first principle modelling are reported with a set of three disruption mitigation valves mimicking the ITER setup. Insights of the L-H power threshold in Deuterium and Hydrogen are given, stressing the importance of the magnetic configurations and the recent measurements of fine-scale structures in the edge radial electric. Dimensionless scans of the core and pedestal confinement provide new information to elucidate the importance of the first wall material on the fusion performance. H-mode plasmas at ITER triangularity (H = 1 at β N ∼ 1.8 and n/n GW ∼ 0.6) have been sustained at 2 MA during 5 s. The ITER neutronics codes have been validated on high performance experiments. Prospects for the coming D-T campaign and 14 MeV neutron calibration strategy are reviewed.

Analysis of clusters formed by the moving average of a long-range correlated time series

Abstract: We analyze the stochastic function ${C}_{n}(i)\ensuremath{\equiv}y(i)\ensuremath{-}{y}_{n}(i),$ where $y(i)$ is a long-range correlated time series of length ${N}_{\mathrm{max}}$ and ${y}_{n}(i)\ensuremath{\equiv}(1/n){\ensuremath{\sum}}_{k=0}^{n\ensuremath{-}1}y(i\ensuremath{-}k)$ is the moving average with window n. We argue that ${C}_{n}(i)$ generates a stationary sequence of self-affine clusters $\mathcal{C}$ with length $\mathcal{l},$ lifetime $\ensuremath{\tau},$ and area s. The length and the area are related to the lifetime by the relationships $\mathcal{l}\ensuremath{\sim}{\ensuremath{\tau}}^{{\ensuremath{\psi}}_{\mathcal{l}}}$ and $s\ensuremath{\sim}{\ensuremath{\tau}}^{{\ensuremath{\psi}}_{s}},$ where ${\ensuremath{\psi}}_{\mathcal{l}}=1$ and ${\ensuremath{\psi}}_{s}=1+H.$ We also find that $\mathcal{l},$ $\ensuremath{\tau},$ and s are power law distributed with exponents depending on H: $P(\mathcal{l})\ensuremath{\sim}{\mathcal{l}}^{\ensuremath{-}\ensuremath{\alpha}},$ $P(\ensuremath{\tau})\ensuremath{\sim}{\ensuremath{\tau}}^{\ensuremath{-}\ensuremath{\beta}},$ and $P(s)\ensuremath{\sim}{s}^{\ensuremath{-}\ensuremath{\gamma}},$ with $\ensuremath{\alpha}=\ensuremath{\beta}=2\ensuremath{-}H$ and $\ensuremath{\gamma}=2/(1+H).$ These predictions are tested by extensive simulations on series generated by the midpoint displacement algorithm of assigned Hurst exponent H (ranging from 0.05 to 0.95) of length up to ${N}_{\mathrm{max}}{=2}^{21}$ and n up to ${2}^{13}.$