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
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
Fusion energy: Progress, partnerships, and the path to deployment
Over the past decade, fusion energy has moved decisively from scientific aspiration toward a credible pathway to a new energy technology. Thanks to long-term federal support, we have significantly advanced our fundamental understanding of plasma physics—the behavior of the superheated gases at the heart of fusion devices. This knowledge will enable the creation and control of fusion fuel under conditions required for future power plants. Our progress is exemplified by breakthroughs at the National Ignition Facility and the Joint European Torus.
J. Guasp, F. Castejón, I. Pastor, R. F. Álvarez-Estrada
Fusion Science and Technology | Volume 72 | Number 2 | August 2017 | Pages 99-119
Technical Paper | doi.org/10.1080/15361055.2017.1320497
Articles are hosted by Taylor and Francis Online.
The inverse problem for Thomson scattering (TS), that is, finding the electron distribution function (EDF), not restricted to be Maxwellian or isotropic, from the observation of the scattered spectrum, is addressed. Based on previous results by the authors, a new parallel FORTRAN code, INVERT, has been developed that allows to estimate the free parameters of a wide class of distribution functions by fitting experimental or numerical (synthetic) spectra using a variant of the simplex method. The application of these techniques to the extraction of non-Maxwellian or anisotropic features in the electron distribution function is analyzed in detail. The performance of the new code on noisy synthetic spectra and its capabilities to quantitatively discriminate among several competing EDFs modeling data are discussed. The issues of uniqueness (or nonuniqueness) of the inverse problem in case of multiparameter distribution functions are discussed. In such cases, the prospects of multiple diagnostics synthesis, or having several simultaneous scattering chords to remove the ambiguity in the reconstruction of the EDF, are also discussed. Some comments on the requirements of a TS system able to detect nonthermal or anisotropic effects are also included.