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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The RAIN scale: A good intention that falls short
Radiation protection specialists agree that clear communication of radiation risks remains a vexing challenge that cannot be solved solely by finding new ways to convey technical information.
Earlier this year, an article in Nuclear News described a new radiation risk communication tool, known as the Radiation Index, or, RAIN (“Let it RAIN: A new approach to radiation communication,” NN, Jan. 2025, p. 36). The authors of the article created the RAIN scale to improve radiation risk communication to the general public who are not well-versed in important aspects of radiation exposures, including radiation dose quantities, units, and values; associated health consequences; and the benefits derived from radiation exposures.
Robert S. Brown, Jr., John S. Hendricks
Nuclear Science and Engineering | Volume 97 | Number 3 | November 1987 | Pages 245-248
Technical Note | doi.org/10.13182/NSE87-A23507
Articles are hosted by Taylor and Francis Online.
Stratified sampling is a method used in Monte Carlo calculations to take advantage of certain known aspects of probability distributions. The sampling region is subdivided into discrete subregions, and each of these is sampled a preassigned number of times. A form of stratified sampling has been implemented into a major Monte Carlo particle transport computer code with very encouraging results.
