36 research outputs found
Orbital Spectrum Analysis of Fast Ion drift motion and transport in toroidal magnetic field configurations
Decomposition, diffusion, and growth rate anisotropies in self-limited profiles during metalorganic vapor-phase epitaxy of seeded nanostructures
We present a model for the interplay between the fundamental phenomena
responsible for the formation of nanostructures by metalorganic vapour phase
epitaxy on patterned (001)/(111)B GaAs substrates. Experiments have
demonstrated that V-groove quantum wires and pyramidal quantum dots form as a
consequence of a self-limiting profile that develops, respectively, at the
bottom of V-grooves and inverted pyramids. Our model is based on a system of
reaction-diffusion equations, one for each crystallographic facet that defines
the pattern, and include the group III precursors, their decomposition and
diffusion kinetics (for which we discuss the experimental evidence), and the
subsequent diffusion and incorporation kinetics of the group-III atoms released
by the precursors. This approach can be applied to any facet configuration,
including pyramidal quantum dots, but we focus on the particular case of
V-groove templates and offer an explanation for the self-limited profile and
the Ga segregation observed in the V-groove. The explicit inclusion of the
precursor decomposition kinetics and the diffusion of the atomic species
revises and generalizes the earlier work of Basiol et al. [Phys. Rev. Lett. 81,
2962 (1998); Phys. Rev. B 65, 205306 (2002)] and is shown to be essential for
obtaining a complete description of self-limiting growth. The solution of the
system of equations yields spatially resolved adatom concentrations, from which
average facet growth rates are calculated. This provides the basis for
determining the conditions that yield selflimiting growth. The foregoing
scenario, previously used to account for the growth modes of vicinal GaAs(001)
during MOVPE and the step-edge profiles on the ridges of vicinal surfaces
patterned with V-grooves, can be used to describe the morphological evolution
of any template composed of distinct facets
Langmuir probe electronics upgrade on the tokamak a configuration variable
A detailed description of the Langmuir probe electronics upgrade for TCV (Tokamak a Configuration Variable) is presented. The number of amplifiers and corresponding electronics has been increased from 48 to 120 in order to simultaneously connect all of the 114 Langmuir probes currently mounted in the TCV divertor and main-wall tiles. Another set of 108 amplifiers is ready to be installed in order to connect 80 new probes, built in the frame of the TCV divertor upgrade. Technical details of the amplifier circuitry are discussed as well as improvements over the first generation of amplifiers developed at SPC (formerly CRPP) in 1993/1994 and over the second generation developed in 2012/2013. While the new amplifiers have been operated successfully for over a year, it was found that their silicon power transistors can be damaged during some off-normal plasma events. Possible solutions are discussed. (C) 2019 Author(s)
Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution
Integrating the plasma core performance with an edge and scrape-off layer (SOL) that leads to tolerable heat and particle loads on the wall is a major challenge. The new European medium size tokamak task force (EU-MST) coordinates research on ASDEX Upgrade (AUG), MAST and TCV. This multi-machine approach within EU-MST, covering a wide parameter range, is instrumental to progress in the field, as ITER and DEMO core/pedestal and SOL parameters are not achievable simultaneously in present day devices. A two prong approach is adopted. On the one hand, scenarios with tolerable transient heat and particle loads, including active edge localised mode (ELM) control are developed. On the other hand, divertor solutions including advanced magnetic configurations are studied. Considerable progress has been made on both approaches, in particular in the fields of: ELM control with resonant magnetic perturbations (RMP), small ELM regimes, detachment onset and control, as well as filamentary scrape-off-layer transport. For example full ELM suppression has now been achieved on AUG at low collisionality with n = 2 RMP maintaining good confinement . Advances have been made with respect to detachment onset and control. Studies in advanced divertor configurations (Snowflake, Super-X and X-point target divertor) shed new light on SOL physics. Cross field filamentary transport has been characterised in a wide parameter regime on AUG, MAST and TCV progressing the theoretical and experimental understanding crucial for predicting first wall loads in ITER and DEMO. Conditions in the SOL also play a crucial role for ELM stability and access to small ELM regimes
Real-time plasma state monitoring and supervisory control on TCV
In ITER and DEMO, various control objectives related to plasma control must be simultaneously achieved by the plasma control system (PCS), in both normal operation as well as off-normal conditions. The PCS must act on off-normal events and deviations from the target scenario, since certain sequences (chains) of events can precede disruptions. It is important that these decisions are made while maintaining a coherent prioritization between the real-time control tasks to ensure high-performance operation. In this paper, a generic architecture for task-based integrated plasma control is proposed. The architecture is characterized by the separation of state estimation, event detection, decisions and task execution among different algorithms, with standardized signal interfaces. Central to the architecture are a plasma state monitor and supervisory controller. In the plasma state monitor, discrete events in the continuous-valued plasma state are modeled using finite state machines. This provides a high-level representation of the plasma state. The supervisory controller coordinates the execution of multiple plasma control tasks by assigning task priorities, based on the finite states of the plasma and the pulse schedule. These algorithms were implemented on the TCV digital control system and integrated with actuator resource management and existing state estimation algorithms and controllers. The plasma state monitor on TCV can track a multitude of plasma events, related to plasma current, rotating and locked neoclassical tearing modes, and position displacements. In TCV experiments on simultaneous control of plasma pressure, safety factor profile and NTMs using electron cyclotron heating (ECH) and current drive (ECCD), the supervisory controller assigns priorities to the relevant control tasks. The tasks are then executed by feedback controllers and actuator allocation management. This work forms a significant step forward in the ongoing integration of control capabilities in experiments on TCV, in support of tokamak reactor operation