Effect of mismatch on Doppler backscattering in MAST and MAST-U plasmas
Valerian H. Hall-Chen, Felix I. Parra, Jon C. Hillesheim, Juan Ruiz, Ruiz, Neal A. Crocker, Peng Shi, Hong Son Chu, Simon J. Freethy, Lucy A., Kogan, William A. Peebles, Quinn T. Pratt, Terry L. Rhodes, Kevin Ronald,, Rory Scannell, David C. Speirs, Stephen Storment

TL;DR
This paper validates a model for mismatch attenuation in Doppler backscattering diagnostics on MAST and MAST-U plasmas, improving measurement accuracy and diagnostic commissioning through detailed comparison with experimental data.
Contribution
It applies and validates a quantitative mismatch attenuation model across multiple cases and modes, including new comparisons and error identification in the DBS system.
Findings
Identified a ~3° error in MAST Q-band quasioptics.
Validated the model against multiple time points and modes.
Assessed other contributions to backscattered signals.
Abstract
The Doppler backscattering (DBS) diagnostic, also referred to as Doppler reflectometry, measures turbulent density fluctuations of intermediate length scales. However, when the beam's wavevector is not properly aligned perpendicular to the magnetic field, the backscattered power is attenuated. In previous work, we used beam tracing and reciprocity to derive this mismatch attenuation quantitatively. In this paper, we applied our model, in the small but finite mismatch limit, to a several new cases. We compared our predictions with multiple O-mode channels for the first time. We then identified a error in the MAST Q-band's quasioptics, showing that our model is useful for commissioning DBS diagnostics. For both O- and X-mode, we compared experimental data with our model's predictions at multiple times during the shots, unlike our previous work, where only a single time…
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Taxonomy
TopicsTropical and Extratropical Cyclones Research · Magnetic confinement fusion research · Ocean Waves and Remote Sensing
