| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Poźniak, Krzysztof
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2019Multichannel Data Acquisition System for GEM Detectors citations
- 2018Advanced real-time data quality monitoring model for tokamak plasma diagnosticscitations
- 2017FPGA-based firmware model for extended measurement systems with data quality monitoring citations
- 2016 Modeling of serial data acquisition structure for GEM detector system in Matlabcitations
- 2016New trends in logic synthesis for both digital designing and data processing citations
- 2016The development of algorithms for the deployment of new version of GEM-detector-based acquisition systemcitations
- 2015Architecture of the Upgraded BCM1F backend Electronics for Beam Conditions and Luminosity Measurementcitations
- 2015The CMS Fast Beams Condition Monitor Back-End Electronics based on MicroTCA technology – status and development
- 2015FPGA based charge acquisition algorithm for soft X-ray diagnostics systemcitations
- 2015Development of low noise CCD readout front-end citations
- 2015OMTF firmware overviewcitations
- 2014Development of GEM Gas Detectors for X-Ray Crystal Spectrometry citations
- 2014The Fast Beam Condition Monitor BCM1F Backend Electronics Upgraded MicroTCA Based Architecturecitations
- 2013Fundamental Data Processing for GEM Detector Measurement System Applied for X - ray Diagnostics of Fusion Plasmas
- 2011Optimization of FPGA processing of GEM detector signal citations
- 2011Development of a 1D Triple GEM X-ray detector for a high-resolution x-ray diagnostics at JET
- 2005Optical network and FPGA/DSP based control system for free electon laser
- 2003Cavity Digital Control Testing System by Simulink Step Operation Method for TESLA Linear Accelerator and Free Electron Laser
Places of action
| Organizations | Location | People |
|---|
article
Multichannel Data Acquisition System for GEM Detectors
Abstract
This paper presents the data acquisition system for GEM-detector (Sauli in Nucl Instrum Methods Phys Res Sect A Accel Spectrom Detect Assoc Equip 386(2–3): 531–534, 1997.https://doi.org/10.1016/S0168-9002(96)01172-2) based cameras and spectrometers (Chernyshova et al. in Fusion Eng Des, 2017.https://doi.org/10.1016/j.fusengdes.2017.03.107). The system is modular (Czarski et al. in Rev Sci Instrum 87(11): 11E336, 2016.https://doi.org/10.1063/1.4961559) and supports 1D and 2D GEM arrays with software-defined readout modes. Channel count can vary from 8 up to hundreds. The readout electronics consists of two units—radiation tolerant Analog Front End and rack-mount data processing unit. Data processing is split into two parts—real-time hardware, based on FPGA and software, based on embedded multicore CPUs and hardware accelerators. The FPGA subsystem together with PCIe interface and multi-core Xeon processors forms low latency, high-performance processing chain suitable for applications requiring feedback. The detectors in tokamaks operate in the high magnetic field, so the system was equipped with multipoint magnetic field measurement synchronized with detector readout. The system also includes custom HV supply, developed for triple GEM detectors operating in the high-rate mode. Dedicated protection and diagnostic subsystems were developed as well to ensure safe and reliable operation of the detector in harsh conditions. To support the operation of the detector in the high-temperature surrounding, the liquid cooling subsystem was developed (Wojenski et al. in J Instrum 11(11): C11035, 2016).