A Thin Foil-foil Proton Recoil Spectrometer for DT neutrons using annular silicon detectors
2019
The use of Thin-foil proton recoil (TPR)
spectrometersto measure neutrons from Deuterium-Tritium (DT) fusion plasma has been studied previously and is a well established technique for
neutron spectrometry. The study presented here focuses on the optimisation of the TPR
spectrometerconfigurations consisting of dE and E silicon detectors. In addition an investigation of the spectrometer's ability to determine fuel ion temperature and fuel ion
density ratioin ITER like DT plasmas has been performed. A Python code was developed for the purpose of calculating detection efficiency and energy resolution as a function of several
spectrometergeometrical parameters. An optimisation of detection efficiency for selected values of resolution was performed regarding the geometrical
spectrometerparameters foil thickness, distance from a foil to the first detector and distance between the two detectors using a multi-objective optimisation, a.k.a Pareto plot analysis. Moreover, the influence of detector segmentation on
spectrometerenergy resolution and efficiency was investigated. The code also produced response functions for the two selected
spectrometerconfigurations. The SPEC code was used to simulate the spectrometer's performance in determining the fuel ion temperature and fuel ion
density ration_t/n_d. The results presented include the selected
spectrometerconfiguration with calculated energy resolution and efficiency. For a selected
spectrometerresolution of 5% a maximum efficiency of around 0.003% was achieved. Moreover, the detector segmentation allows for a 20% increase in
spectrometerefficiency for an energy resolution of 4.3%. The ITER requirements for a 20% accuracy on the n_t/n_d ratio determination and 10% on the temperature determination within a 100ms sampling window can be achieved using a combination of several TPR's of same type, in order to boost efficiency.
Keywords:
-
Correction
-
Cite
-
Save
0
References
0
Citations
NaN
KQI