A Monte Carlo approach for predictive tools in gamma irradiator: a review

Abstract

This study investigates accurate dose mapping for gamma irradiators, particularly for broad-beam radiation types. The main objectives are to identify the most suitable algorithm by comparing Monte Carlo simulations and measurements, analyzing factors such as standard error, dosimeter placement, and environmental influences. Key findings show that certain algorithms and dosimeter setups yield higher accuracy and reliability in dose mapping. The study concludes that integrating software-based and measurement approaches enhances dose distribution precision, providing valuable insights for quality control and process optimization. This research contributes significantly to improved efficiency in gamma irradiation applications across various industries.