Calculation of edge ion temperature and poloidal rotation velocity from carbon III triplet measurements on the COMPASS tokamak

• Autorzy: Tomeš M. , Weinzettl V. , Pereira T. , Imríšek M. , Seidl J.

Identyfikatory

DOI

10.1515/nuka-2016-0073

• Konferencja: Summer School of Plasma Diagnostics PhDiaFusion 2015: “Soft X-ray Diagnostics for Fusion Plasma” (16-20.06.2015 ; Bezmiechowa, Poland)
• Języki publikacji: EN

Abstrakty

EN

A high-resolution spectroscopic system for the measurements of the CIII triplet at 465 nm was installed at the COMPASS tokamak. The Doppler broadening and shift of the measured spectral lines are used to calculate the edge ion temperature and poloidal plasma rotation. At first, the spectroscopic system based on two-grating spectrometer and the calibration procedure is described. The signal processing including detection and removal of spiky features in the signal caused by hard X-rays based on the difference in the behaviour of Savitzky-Golay and median filters is explained. The detection and position estimation of individual spectral lines based on the continuous wavelet transform is shown. The method of fitting of Gaussians using the orthogonal distance regression and estimation of the error of estimation of the rotation velocity and ion temperature is described. At the end, conclusions about the performance of the spectroscopic system and its shortcomings based on summary of results calculated from 2033 processed spectral lines measured in 61 shots are drawn and the possible enhancements are suggested.

Słowa kluczowe

EN

high-resolution spectroscopy; spectra processing; peak detection; line detection; line fitting; poloidal plasma rotation; ion temperature

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2016
• Tom: Vol. 61, No. 4
• Strony: 443--451
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Tomeš M.

• Ústav fyziky plazmatu AV ČR, v.v.i., Faculty of Mathematics and Physics, Charles University in Prague, Za Slovankou 3, 18200 Praha 8, Czech Republic, Tel.: [phone]

autor

Weinzettl V.

• Ústav fyziky plazmatu AV ČR, v.v.i., Faculty of Mathematics and Physics, Charles University in Prague, Za Slovankou 3, 18200 Praha 8, Czech Republic, Tel.: [phone]

autor

Pereira T.

• Instituto de Plasmas e Fusao Nuclear, Lisboa, Portugal

autor

Imríšek M.

• Ústav fyziky plazmatu AV ČR, v.v.i., Faculty of Mathematics and Physics, Charles University in Prague, Za Slovankou 3, 18200 Praha 8, Czech Republic, Tel.: [phone]

autor

Seidl J.

• Ústav fyziky plazmatu AV ČR, v.v.i., Faculty of Mathematics and Physics, Charles University in Prague, Za Slovankou 3, 18200 Praha 8, Czech Republic, Tel.: [phone]

Bibliografia

• 1. Panek, R., Bilková, O., Fuchs, V., Hron, M., Chraska, P., Stockel, J., Urban, J., Weinzettl, V., Zajac, J., & Zacek, F. (2006). Reinstallation of the COMPASS-D tokamak in IPP ASCR. Czech. J. Phys., 56(Suppl.2), B125–B137. DOI: 10.1007/s10582-006-0188-1.
• 2. Kunze, H. J. (2009). Introduction to plasma spectroscopy. Berlin-Heidelberg: Springer.
• 3. Boyd, T. M. J., & Sanderson, J. J. (2003). The physics of plasmas. New York: Cambridge University Press.
• 4. Griem, H. R. (1997). Principles of plasma spectroscopy. Cambridge, UK: Cambridge University Press.
• 5. Gomes, R. B., Varandas, C. A. F., Cabral, J. A. C., Sokolova, E., & Cortes, S. R. (2003). High dispersion spectrometer for time resolved Doppler measurements of impurity lines emitted during ISTTOK tokamak discharges. Rev. Sci. Instrum., 74(3), 2071–2074.DOI: 10.1063/1.1537039.
• 6. Sokolova, E., Cortes, S. D. R., & Nelson, M. (1997). High-resolution spectrometer for TOKAMAK plasma diagnostic. SPIE, 3130, 160–167. DOI: 10.1117/12.284058.
• 7. Kramida, A., Ralchenko, Yu., Reader, J., & NIST ASD Team. (2014). NIST Atomic Spectra Database (ver. 5.2). Retrieved July 27, 2015, from http://physics.nist.gov/asd
• 8. Savitykz, A., & Golay, M. J. E. (1964). Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem., 36(8), 1627–1639. DOI: 10.1021/ac60214a047.
• 9. National Instruments. (2013, August). Wavelet-based peak detection. Retrieved March 10, 2015, from http://www.ni.com/white-paper/5432/en/
• 10. Mallat, S. (2009). A wavelet tour of signal processing: the sparse way (3rd ed.). Boston: Elsevier/Acade mic Press.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.