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Atlanta, GA|Atlanta Marriott Marquis
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Remembering ANS member Gil Brown
Brown
The nuclear community is mourning the loss of Gilbert Brown, who passed away on July 11 at the age of 77 following a battle with cancer.
Brown, an American Nuclear Society Fellow and an ANS member for nearly 50 years, joined the faculty at Lowell Technological Institute—now the University of Massachusetts–Lowell—in 1973 and remained there for the rest of his career. He eventually became director of the UMass Lowell nuclear engineering program. After his retirement, he remained an emeritus professor at the university.
Sukesh Aghara, chair of the Nuclear Engineering Department Heads Organization, noted in an email to NEDHO members and others that “Gil was a relentless advocate for nuclear energy and a deeply respected member of our professional community. He was also a kind and generous friend—and one of the reasons I ended up at UMass Lowell. He served the university with great dedication. . . . Within NEDHO, Gil was a steady presence and served for many years as our treasurer. His contributions to nuclear engineering education and to this community will be dearly missed.”
A. Dubi, A. Goldfeld, K. Burn
Nuclear Science and Engineering | Volume 91 | Number 4 | December 1985 | Pages 470-480
Technical Note | doi.org/10.13182/NSE85-A18363
Articles are hosted by Taylor and Francis Online.
Recently a detailed theory analyzing the dependence of the second moment and calculational time upon geometrical splitting was developed based on the direct statistical approach (DSA). The extended model refers to the application of the DSA to the case in which splitting and Russian roulette are used depending on the direction in which the particle crosses the surface, but with the limitation that any source particle reaching the detector must have crossed the surface. The results of a first attempt to use the theoretical results for the optimization of the splitting parameter on one surface in a practical problem are reported. The feasibility of the method in predicting a near optimum splitting parameter is demonstrated, and the application of the method to multiple surface problems is discussed.
