Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 4

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  data quality monitoring
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
The validation of the measurements quality after on-site diagnostic system installation is necessary in order to provide reliable data and output results. This topic is often neglected or not discussed in detail regarding measurement systems. In the paper recently installed system for soft X-ray measurements is described in introduction. The system is based on multichannel GEM detector and the data is collected and sent in special format to PC unit for further postprocessing. The unique feature of the system is the ability to compute final data based on raw data only. The raw data is selected upon algorithms by FPGA units. The FPGAs are connected to the analog frontend of the system and able to register all of the signals and collect the useful data. The interface used for data streaming is PCIe Gen2 x4 for each FPGA, therefore high throughput of the system is ensured. The paper then discusses the properties of the installation environment of the system and basic functionality mode. New features are described, both in theoretical and practical approach. New modes correspond to the data quality monitoring features implemented for the system, that provide extra information to the postprocessing stage and final algorithms. In the article is described also additional mode to perform hardware simulation of signals in a tokamak-like environment using FPGAs. The summary describes the implemented features of the data quality monitoring features and additional modes of the system.
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.
3
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
The paper is devoted to the subject of application of a complex measurement system in HEP experiments. The measurement system is electronic, FPGA-based, multi-channel and distributed. The application is the Backing Calorimeter (BAC) located in an international ZEUS experiment at the HERA ring accelerator of counter-propagating particles, DESY Hamburg. The hadron-electron ring accelerator HERA is concisely characterized in the introductory part of the paper. Actually, the HERA accelerates electrons or positrons and protons. The particle collision takes place in detectors. One of them is ZEUS. The structure of ZEUS is presented with emphasis on the metrological requirements. These requirements are to obtain a good space and time resolution of measurements for numerable physical values. The measurements are taken from images of particle collisions. The measurement subsystems of the BAC detector are described. The BAC is equipped with over 40000 nondependent channels for position measurement, over 2000 channels for energy measurement. It possesses a local functional block of position and energy trigger, as well as modules for data acquisition. The functional structure of the system is presented in the context of task requirement superimposed by the ZEUS. These requirements are: global triggering system of the whole experiment, data acquisition and tests. The hardware solutions are included for particular parts of the measurement systems. Examples are presented of measurement results obtained from the ZEUS experiment. An original author's idea is debated to integrate the functional layers of the complex measurement system with a superimposed diagnostic layer. The aim is to have operator's access to the current on-line quality assessment of TRIDAQ measurement system for ZEUS. This includes the ability to detect, localize and prevent randomly appearing irregularities in system software and hardware.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.