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Going Nuclear: Notes from the officially unofficial book tour
I work in the analytical labs at one of Europe’s oldest and largest nuclear sites: Sellafield, in northwestern England. I spend my days at the fume hood front, pipette in one hand and radiation probe in the other (and dosimeter pinned to my chest, of course). Outside the lab, I have a second job: I moonlight as a writer and public speaker. My new popular science book—Going Nuclear: How the Atom Will Save the World—came out last summer, and it feels like my life has been running at full power ever since.
T. Görler, A. E. White, D. Told, F. Jenko, C. Holland, T. L. Rhodes
Fusion Science and Technology | Volume 69 | Number 2 | April 2016 | Pages 537-545
Technical Paper | doi.org/10.13182/FST15-182
Articles are hosted by Taylor and Francis Online.
Over the last decade, plasma turbulence simulations based on gyrokinetic theory have reached an amazing degree of physical comprehensiveness and realism. In contrast to early gyrokinetic studies, which were restricted to qualitative statements, state-of-the-art investigations may now be compared quantitatively, therefore enabling validation and detailed analysis of their predictive capabilities. Here, particular attention is paid to outer-core L-mode discharges for which some previous gyrokinetic studies have found an underprediction of ion heat transport by almost one order of magnitude, the so-called shortfall. Carrying out radially local and nonlocal GENE simulations using actual plasma profiles and parameters and magnetohydrodynamic equilibria, and employing as much physics as available, only a mild underprediction is found, which can, furthermore, be overcome by varying the ion temperature gradient within the error bars associated with the experimental measurement. The significance and reliability of these simulations is furthermore demonstrated by extensive comparison with experimental measurements. The latter involve sophisticated synthetic beam emission spectroscopy and correlation electron cyclotron emission data analysis. The agreement found between the measurements and the state-of-the-art postprocessed simulation data confirms the high degree of realism.