| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 271342 | Fusion Engineering and Design | 2012 | 5 Pages |
The duration of a single plasma discharge in the next generation of fusion experiments will be much longer than in the present devices. Storing all raw data acquired in each discharge will be more difficult and the high rates achieved by the new digitizers are already contributing to storage overload. This gap can be mitigated by real time (RT) analysis and compression, using devices such as field programmable gate arrays (FPGAs) capable to transfer and process data on the fly. However, to ensure a correct RT analysis, the FPGA algorithm must be adapted to the signal to be acquired. Since minor changes in signal shape may require significant algorithm modifications, it is important to know in advance the signal attributes. For that reason, the availability of more than one RT algorithm, especially during commissioning of new sub-systems and during campaigns with relevant changes in diagnostic conditions, is advantageous. This paper presents an implementation using two RT algorithms processing simultaneously, developed for the gamma-ray and hard X-ray diagnostics of the Joint European Torus (JET). Both algorithms perform pulse height analysis with pile-up rejection. While the first algorithm is suitable for Gaussian shaped pulses, the second is suitable for exponential signals. The algorithms are selectable by the user, during discharge configuration. Tests with radioactive sources made in JET are presented.
► Storing all raw data acquired in next fusion experiments for further analysis will be more difficult. ► The high rates achieved by the new digitizers are already contributing to the storage overload. ► One solution is real time analysis using FPGA devices capable to transfer and process data on the fly. ► FPGA algorithm must be adapted to the signal to be acquired. Having more than one RT algorithm may be necessary. ► This paper presents the FPGA implementation of two RT algorithms processing simultaneously, for JET diagnostics.
