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.
Gonzalo Farias, Sebastián Dormido-Canto, Jesús Vega, Ignacio Pastor, Matilde Santos
Fusion Science and Technology | Volume 63 | Number 1 | January 2013 | Pages 20-25
Selected Paper from Seventh Fusion Data Validation Workshop 2012 (Part 3) | doi.org/10.13182/FST12-477
Articles are hosted by Taylor and Francis Online.
Stray light is the main source of noise on the Thomson scattering diagnostic images of the TJ-II stellarator. The diagnostic provides temperature and density profiles of the plasma. A charge-coupled-device camera acquires images that are disturbed by noise, which, in some cases, can produce unreliable profiles. In this paper we describe three different approaches to reduce or mitigate the stray light on these images: exhaustive detection, extraction of regions with connected components, and extraction of regions with the approach of region growing. The performance of the two most interesting techniques is evaluated by a validation process. This process quantifies the noise eliminated by each method.