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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.
Thomas E. Booth
Nuclear Science and Engineering | Volume 89 | Number 4 | April 1985 | Pages 305-309
Technical Paper | doi.org/10.13182/NSE85-A18622
Articles are hosted by Taylor and Francis Online.
Splitting techniques are among the most common and successful variance reduction techniques used in Monte Carlo calculations. The simplest type of splitting occurs when the splitting ratio, v, is an integer. In this case, one particle of weight w is replaced by v particles of weight wv−1. Often, v is specified as a ratio of two numbers. In these cases, v need not be an integer. Two alternative splitting techniques for noninteger v, sampled splitting and expected-value splitting, are compared. Formulas are reported that indicate when each type of splitting is preferred.