Jared A Cook

College of Sciences

Works (2)

Updated: July 5th, 2023 14:55

2020 journal article

Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations

NUCLEAR TECHNOLOGY, 207(1), 37–53.

By: P. Miles n, J. Cook n, Z. Angers*, C. Swenson *, B. Kiedrowski *, J. Mattingly n, R. Smith n 

author keywords: Radiation detection; inverse problem; Bayesian inference; MCNP; surrogate modeling
TL;DR: The Monte Carlo N-Particle code is employed to provide high-fidelity simulations of radiation transport within an urban domain to develop efficient and accurate surrogate models of the detector responses that provide an efficient framework for Bayesian inference and experimental design. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 13, 2020

2019 journal article

Application and Evaluation of Surrogate Models for Radiation Source Search

ALGORITHMS, 12(12).

By: J. Cook n, R. Smith n , J. Hite n, R. Stefanescu & J. Mattingly n

author keywords: surrogate modeling; bayesian inference; radiation source localization
TL;DR: This work considers the problem of inferring the 2D location and intensity of a radiation source in an urban environment using a ray-tracing model based on Boltzmann transport theory, and considers surrogate models based on Legendre polynomials, multivariate adaptive regression splines, radial basis functions, Gaussian processes, and neural networks. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: January 21, 2020

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