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.
Yassir El Ghazi, Samir Didi, Karim Bahhous, Dikra Bakari, Abdeslem Rrhioua, Mustapha Zerfaoui
Nuclear Science and Engineering | Volume 200 | Number 3 | March 2026 | Pages 664-678
Research Article | doi.org/10.1080/00295639.2025.2494188
Articles are hosted by Taylor and Francis Online.
The primary challenge in Monte Carlo dose calculations in radiotherapy is accurate modeling of the radiation device and the initial electron beam. For this purpose, this study aims to address this challenge by developing and experimentally validating a Monte Carlo model of the Elekta Synergy MLCi2 linear accelerator (LINAC) and performing a comprehensive analysis of accurate three-dimensional (3D) dose distribution calculations in radiotherapy. A detailed Monte Carlo model of the Elekta Synergy MLCi2 was developed using the EGSnrc code system (BEAMnrc/DOSXYZnrc). In particular, simulations were carried out for a 6-MV photon beam with field sizes ranging from 3 × 3 to 30 × 30 cm2. The initial beam parameters were optimized through an iterative process, specifically targeting the electron beam energy and the full-width at half-maximum. In addition, dose calculations were performed using the Source 9 implementation in DOSXYZnrc. Furthermore, all simulations were carried out on the HPC-MARWAN computing platform. Regarding the validation phase, experimental measurements were carried out using a PTW Semiflex 3D ionization chamber in a water phantom to measure and compare percentage depth doses (PDDs), lateral dose profiles, and beam quality indices. The model demonstrated excellent agreement with experimental measurements across all evaluated parameters. Specifically, PDDs showed mean errors below 0.51% and gamma index (2%/2 mm) values exceeding 97% for all field sizes. Lateral dose profiles exhibited mean errors generally below 1% with gamma passing rates approaching 100%. Furthermore, beam quality indices (TPR20,10 and D10) showed maximum deviations of 0.3% and 0.5%, respectively. The implementation of the Ihowfarless algorithm significantly improved calculation efficiency from 0.037 to 0.076. This study successfully developed and validated a Monte Carlo model for the Elekta Synergy MLCi2 LINAC for the 6-MV photon beam. Experimental measurements confirmed the model’s high accuracy, with mean errors below 1% for PDDs and lateral dose profiles, and gamma passing rates exceeding 97% for all fields studied. These results underscore the model’s reliability for independent verification of radiotherapy treatment plans.