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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. Casper, W. Houlberg, J. Snipes, D. Thomas, A. Wallander, M. Walsh, A. Winter
Fusion Science and Technology | Volume 58 | Number 3 | November 2010 | Pages 715-719
Selected Paper from Sixth Fusion Data Validation Workshop 2010 (Part 2) | doi.org/10.13182/FST10-A10919
Articles are hosted by Taylor and Francis Online.
The ITER Organization has initiated the process of assessing issues and requirements for data analysis and modeling for the operational program. Many of these requirements are consistent with those currently in research programs in the member countries. ITER will, however, rely more heavily on model predictions to design and develop the pulse sequences used during operations. This places a greater demand on the fidelity of the models and on their experimental validation. Real-time data analysis will be an integral component of the ITER plasma control system. Real-time forecasting of discharge evolution, identification of the approach to operational limits, and disruption avoidance strategies are included in the overall strategy for control and analysis. Because of the long ITER pulse length, we require display of analyzed data and model predictions during the execution of each pulse as the data are being acquired and processed. An integrated modeling and data analysis system with unified methods for data handling and storage will be designed and developed.