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A polynomial chaos approach for uncertainty quantification of Monte Carlo transport codes

Autor: Geraci, Gianluca, Clements, Kayla, Olson, Aaron J

Publikováno v: Proceedings of The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, 2023

In this contribution, we discuss the construction of Polynomial Chaos surrogates for Monte Carlo radiation transport applications via non-intrusive spectral projection. This contribution focuses on improvements with respect to the approach that we pr

Externí odkaz: http://arxiv.org/abs/2403.07024

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Global sensitivity analysis in Monte Carlo radiation transport

Autor: Clements, Kayla, Geraci, Gianluca, Olson, Aaron J, Palmer, Todd S

Publikováno v: Proceedings of The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, 2023

We consider Global Sensitivity Analysis for Monte Carlo radiation transport applications. GSA is usually combined with Uncertainty Quantification, where the latter quantifies the variability of a model output in the presence of uncertain inputs and t

Externí odkaz: http://arxiv.org/abs/2403.06106

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Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining

Autor: Abraham, Tanishq Mathew, Costa, Paloma Casteleiro, Filan, Caroline, Guang, Zhe, Zhang, Zhaobin, Neill, Stewart, Olson, Jeffrey J., Levenson, Richard, Robles, Francisco E.

Histological staining of tissue biopsies, especially hematoxylin and eosin (H&E) staining, serves as the benchmark for disease diagnosis and comprehensive clinical assessment of tissue. However, the process is laborious and time-consuming, often limi

Externí odkaz: http://arxiv.org/abs/2306.00548

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