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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.
Kenneth W. Burn
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 138-145
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Transport and Protection | doi.org/10.13182/NT11-A12282
Articles are hosted by Taylor and Francis Online.
The Direct Statistical Approach (DSA) was developed in the 1980s and 1990s to optimize Monte Carlo deep penetration (fixed-source) radiation transport calculations. It is based on a detailed mathematical approach to the splitting and Russian roulette problem, independent of, or dependent on, the weight of the particle track. As it relies on splitting and Russian roulette, it is of quite general application and has been employed on a wide variety of problems: reactor shielding, accelerator shielding, accelerator-driven systems, dosimetry, and nuclear medicine. The development of the DSA culminated in the inclusion of a multiresponse capability. Over the last 10 years this capability has completely supplanted the single-response version of the DSA. It is considered that the multiresponse capability represents a significant advance. Examples of its use are illustrated. The DSA is currently undergoing a substantial update. The state of the art of the new code is given.