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
Two new partnerships forged in AI and nuclear sectors
The nuclear space is full of companies eager to power new AI development. At the same time, many AI companies want to provide services to the nuclear industry. It should come as no surprise, then, that two new partnerships have recently been announced that further bridge the AI and nuclear sectors.
AtkinsRéalis has announced a partnership with Nvidia that aims to leverage Nvidia’s technologies to deploy “nuclear-powered, large-scale AI factories.” Centrus Energy has announced a partnership with Palantir Technologies to use Palantir’s software in support of Centrus’s plans to expand enrichment capacity.
A. Querol, S. Gallardo, J. Ródenas, G. Verdú
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 63-72
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Transport and Protection | doi.org/10.13182/NT11-A12271
Articles are hosted by Taylor and Francis Online.
Quality control of mammography units is necessary to reduce the dose imparted to women as much as possible. Accurate characterization of the primary X-ray spectra is very useful for this purpose. Obtaining primary spectra normally involves the use of unfolding methods to be applied to pulse-height distributions (PHDs) measured in detector devices. In this work, the modified truncated singular value decomposition, the damped singular value decomposition, and the Tikhonov unfolding methods have been applied to several PHDs simulated with the Monte Carlo code MCNP5. The main goal of this paper is to test the capability of these unfolding methods to reproduce different primary spectra, corresponding to several high voltages and to the different anode materials molybdenum and rhodium. With this aim, an MCNP5 model has been developed to reproduce an actual experimental measurement including the X-ray focus, a Compton spectrometer, and a silicon detector. Quality parameters, such as the half-value layer, homogeneity factor, mean energy, and transmission curve, have been evaluated to see the effect of discrepancies observed between unfolded and theoretical spectra.