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EN
Based on the publications regarding new or recent measurement systems for the tokamak plasma experiments, it can be found that the monitoring and quality validation of input signals for the computation stage is done in different, often simple, ways. In the paper is described the unique approach to implement the novel evaluation and data quality monitoring (EDQM) model for use in various measurement systems. The adaptation of the model is made for the GEM-based soft X-ray measurement system FPGA-based. The EDQM elements has been connected to the base firmware using PCI-E DMA real-time data streaming with minimal modification. As additional storage, on-board DDR3 memory has been used. Description of implemented elements is provided, along with designed data processing tools and advanced simulation environment based on Questa software.
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EN
Soft X-ray (SXR) plasma measurements are important type of diagnostics especially in tokamak facilities. Main output products are energy and topology spectra distributed in time. In case of Gas Electron Multiplier (GEM) detectors, used as radiation sensors, large number of analog readout channels must be provided. For this purpose Field-Programmable Gate Arrays (FPGAs) are used. Data quality monitoring (DQM) is important topic in case of asynchronous events registered by the measurement unit. Due to numerous FPGAs used it is necessary to provide advanced trigger synchronization between them. In the paper is proposed an algorithmic approach for the trigger link training and diagnostics. It is a key component in order to provide consistent measurement data for DQM analysis. The contents of the article covers the plasma experiments and related DQM topics. In following chapters explanation of the synchronization problem is described. The proposed algorithm will be used for trigger link synchronization and diagnostics aspects. The simulations are also discussed. Currently, the proposed ideas are at the stage of implementation and tests on real hardware. Simulation were successfully performed. Summary of the work carried out is presented at the end of the paper.
EN
A gradient method is proposed for inversion of polarimetric data for tokamak plasma. It is assumed that the electron density and the normalized magnetic profile along the ray are known from experiments (scattering and magnetic measurements) in the spirit of the EFIT approach. Under these assumptions the maximum value of the electron density and maximum value of the magnetic field may be estimated by the gradient method. It is shown that with this method it is possible to achieve accuracy of about 0.1% already after 3-4 iterations.
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