TECHnologies Division

computational models for health physics and radiation safety

Combining conventional practices and innovative approaches to fulfill the needs of our clients

Our staff has reduced regulatory uncertainties, supported various licensing reviews and regulatory activities in the United States and abroad, and generated key insights on a wide range of technical problems.  RCD looks forward to applying new developments on data analysis and numerical problem-solving to specific areas of interest to clients with complex data streams.

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Investigated dosimetric and health-effect implications from contaminated media/surfaces including exposure to discrete radioactive ‘hot’ particles

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Prepared models for wound contamination scenarios.

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Conducted high‑fidelity shielding analyses and internal dosimetry calculations with state‑of‑the‑art Monte Carlo computer programs.

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Contributed to new regulations and updated guidance on medical administration of radioactive materials with specialized assessments and modeling

Projects

  • RCD performed assessments providing regulatory insight into unique problems associated with radioactive contamination. It recommended updates to guidelines including dose thresholds for harmful ionizing radiation. Dosimetric details were provided, allowing analysts to quickly identify situations that may exceed dose limits.

  • RCD has performed focused research in response to increased usage of radioactive material in medical facilities and veterinary clinics. It performed an initial assessment of potential doses to humans from various procedures, developing customized analytical approaches to increase realism in future assessments.

  • Using state-of-the-art Monte Carlo simulations, RCD is conducting high-fidelity radiation transport and shielding analyses. Addressing exposure to humans and electronics, insights will support development of new calculational conventions for assessing advanced shielding materials and designs.

  • RCD has developed robust mathematical techniques to characterize numerical data sets. These general mathematical formulations have benefits extending to many fields. For example, this work can support developments in machine learning by providing rapid convergence towards optimal solutions, mitigating missing, poor, and outlier data.

  • RCD maintains, develops, and distributes a growing suite of computational software. Our in-depth knowledge with this code supports extensive capabilities in external dosimetry, internal dosimetry, dose-pathway, and dose coefficient analyses. RCD is currently developing extravasation dosimetry models and software.