ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
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.
M. J. Lineberry
Nuclear Science and Engineering | Volume 54 | Number 2 | June 1974 | Pages 157-165
Technical Paper | doi.org/10.13182/NSE74-A23403
Articles are hosted by Taylor and Francis Online.
Localized changes in a reacting system generally lead to a recomputation of neutronic behavior. The calculation involved can be simple (first-order perturbation theory applied for small changes), or complex (a complete system-wide recomputation for large alterations). In this paper, we consider changes in an isolated portion of a system, changes that are too large for accurate prediction using first-order perturbation theory. Unless the alteration is excessively large, we should still expect the neutron distribution a few mean-free-paths from the altered region to change only slightly. We exploit the idea that localized changes can be dealt with more simply by decoupling the altered region (including a buffer zone) from the rest of the system. The spatial magnitude of the recomputation can then be reduced, with concomitant savings in effort and cost. Variational methods are used to predict the shift in k to second order. As an additional bonus, first-order estimates of the change in the flux and adjoint are calculated.