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.
Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Apr 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
May 2024
Nuclear Technology
Fusion Science and Technology
Latest News
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
K. Y. Lee
Fusion Science and Technology | Volume 68 | Number 1 | July 2015 | Pages 152-156
Technical Paper | Open Magnetic Systems 2014 | doi.org/10.13182/FST14-865
Articles are hosted by Taylor and Francis Online.
A method of estimating the margin of error for Thomson scattering systems based on polychromators has been devised during the operation of the Translation, Confinement, and Sustainment Upgrade (TCSU) experiment. This method first uses the propagation of uncertainty to determine the standard deviation (SD) of the ratio between two output signals. Later the SD or error is projected onto a characteristic curve that relates different ratios of the signal output to the electron temperature. This method brings an asymmetry to the error bounds, which goes accordingly to the ratio of the spectral response function for distinguishing higher temperatures. Also, the method follows with the nature of photon-statistics. As the plasma density is increased, as one might expect, the corresponding amplitude of the error bar becomes smaller.