Comparison of unfolding methods for the inference of runaway electron energy distribution from γ-ray spectroscopic measurements. (3rd December 2021)

• Record Type: Journal Article
• Authors: Panontin, E.; Dal Molin, A.; Nocente, M.; Croci, G.; Eriksson, J.; Giacomelli, L.; Gorini, G.; Iliasova, M.; Khilkevitch, E.; Muraro, A.; Rigamonti, D.; Salewski, M.; Scionti, J.; Shevelev, A.; Tardocchi, M.
• Other Names: collab.; collab.
• Is Part Of: Journal of instrumentation. Volume 16:Number 12(2021)
• Publication Date: 2021-12-03
• Subjects: Nuclear instruments and methods for hot plasma diagnostics -- Plasma diagnostics - interferometry, spectroscopy and imaging -- Analysis and statistical methods -- Plasma diagnostics - charged-particle spectroscopy; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/16/12/C12005
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: Unfolding techniques are employed to reconstruct the 1D energy distribution of runaway electrons from Bremsstrahlung hard X-ray spectrum emitted during plasma disruptions in tokamaks. Here we compare four inversion methods: truncated singular value decomposition, which is a linear algebra technique, maximum likelihood expectation maximization, which is an iterative method, and Tikhonov regularization applied to χ 2 and Poisson statistics, which are two minimization approaches. The reconstruction fidelity and the capability of estimating cumulative statistics, such as the mean and maximum energy, have been assessed on both synthetic and experimental spectra. The effect of measurements limitations, such as the low energy cut and few number of counts, on the final reconstruction has also been studied. We find that the iterative method performs best as it better describes the statistics of the experimental data and is more robust to noise in the recorded spectrum.