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DOE OSTI · 1110395

Adjoint-Based Uncertainty Quantification with MCNP

Seifried, Jeffrey E.
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Abstract

This work serves to quantify the instantaneous uncertainties in neutron transport simulations born from nuclear data and statistical counting uncertainties. Perturbation and adjoint theories are used to derive implicit sensitivity expressions. These expressions are transformed into forms that are convenient for construction with MCNP6, creating the ability to perform adjoint-based uncertainty quantification with MCNP6. These new tools are exercised on the depleted-uranium hybrid LIFE blanket, quantifying its sensitivities and uncertainties to important figures of merit. Overall, these uncertainty estimates are small (< 2%). Having quantified the sensitivities and uncertainties, physical understanding of the system is gained and some confidence in the simulation is acquired.

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BibTeXRIS

Seifried, Jeffrey E.. 2011-09-01. Adjoint-Based Uncertainty Quantification with MCNP. https://doi.org/10.2172/1110395

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