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April 2023 slideshow introducing code: OlsonCEMeNT_TST2023_PlaybookMC_v3-SAND2023-02913PE.pptx.pdf

PlaybookMC key dates:

• First commit at Sandia National Laboratories: November 16, 2016.
• First open-source release: December 19, 2023.

PlaybookMC Authorship Contributors:

• Aaron Olson (2016-present, SNL): Primary author
• Emily Vu (2018-2021, SNL/UCB/UM): Added/edited 1D CLS/LRP/Alg.C/CoPS and 3D geometry capabilities
• Dan Bolintineanu (2020-present, SNL): Added/edited 3D geometry capabilities
• Dominic Lioce (2023, SNL/UCB): Added 3D CLS/LRP, dimensional emulation, and various Counterpart data
• Revolution Rivera-Felix (2024, SNL/TTU): Reformatted Counterpart data

PlaybookMC Publication Contributions:

• Peer-reviewed journal papers
  • E.H. Vu, A.J. Olson. “A limited-memory framework for Conditional Point Sampling for radiation transport in 1D stochastic media.” Nuclear Science and Engineering, DOI: 10.1080/00295639.2022.2116378, https://doi.org/10.1080/00295639.2022.2116378 (November, 2022).
  • E. Vu, A.J. Olson. “Conditional Point Sampling: A stochastic media transport algorithm with full geometric sampling memory.” Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 272, article 107767, ISSN 0022-4073, https://www.sciencedirect.com/science/article/pii/S0022407321002600 (September, 2021).
• Peer-reviewed transactions/conference papers
  • D. Lioce, A.J. Olson, K.B. Clements, A.K. Prinja, T.S. Palmer, “An analysis of two variance deconvolution approaches for stochastic media radiation transport using Conditional Point Sampling” Trans. Am. Nucl. Soc. Washington, D.C. (2023)
  • A.J. Olson, A.K. Prinja. “Equivalence of Conditional Point Sampling with the atomic mix approximation and Chord Length Sampling when using simple user options.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Niagara Falls, Ontario, Canada (2023)
  • K.B. Clements, G. Geraci, A.J. Olson. “Global sensitivity analysis in Monte Carlo radiation transport.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Niagara Falls, Ontario, Canada (2023)
  • A.J. Olson, K.B. Clements, J. Petticrew, “A sampling-based approach to solve Sobol’ Indices using variance deconvolution for arbitrary uncertainty distributions” Trans. Am. Nucl. Soc. Phoenix, AZ (2022)
  • K.B. Clements, G. Geraci, A.J. Olson “Numerical investigation on the performance of a variance deconvolution estimator” Trans. Am. Nucl. Soc. Anaheim, CA (2022, PlaybookMC played critical role in verifying student code used to produce the reported results)
  • A.J. Olson, S.D. Pautz, D. Bolintineanu, E. H. Vu. “Theory and generation methods for N-ary stochastic mixtures with Markovian mixing statistics.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Raleigh, North Carolina, USA (2021)
  • E. H. Vu, P.S. Brantley, A.J. Olson, B.C. Kiedrowski. “Benchmark comparisons of Monte Carlo algorithms for one-dimensional N-ary stochastic media.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Raleigh, North Carolina, USA (2021)
  • E.H. Vu, A.J. Olson. “Amnesia radius versions of Conditional Point Sampling for radiation transport in 1D stochastic media.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Raleigh, North Carolina, USA (2021)
  • W. L. Davis IV, A.J. Olson, G. Popoola, D. Bolintineanu, T. Rodgers, E.H. Vu. “Using deep neural networks to predict material types in Conditional Point Sampling applied to Markovian mixture models.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Raleigh, North Carolina, USA (2021)
  • L. Kersting, A.J. Olson, K. Bossler. “Conditional Point Sampling implementation for the GPU.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Raleigh, North Carolina, USA (2021) E.H. Vu, A.J. Olson, “Recent memory versions of Conditional Point Sampling for transport in 1D stochastic media” Trans. Am. Nucl. Soc. Virtual Meeting (2020)
  • A.J. Olson, E.H. Vu, “An extension of Conditional Point Sampling to multi-dimensional transport.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Portland, Oregon, USA (2019) E.H. Vu, A.J. Olson, “An extension of Conditional Point Sampling to quantify uncertainty due to material mixing randomness.” Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Portland, Oregon, USA (2019)
  • A.J. Olson, “Calculation of parametric variance using variance deconvolution.” Trans. Am. Nucl. Soc. Minneapolis, Minnesota, USA (2019)
  • E.H. Vu, A.J. Olson, “Conditional Point Sampling: A novel Monte Carlo method for radiation transport in stochastic media.” Trans. Am. Nucl. Soc. Minneapolis, Minnesota, USA (2019)
  • A.J. Olson, B.C. Franke, “An optimal-cost Monte Carlo approach to transport in stochastic media.” Trans. Am. Nucl. Soc. Philadelphia, Pennsylvania, USA (2018)
  • A.J. Olson, A. K. Prinja, B. C. Franke, “Error convergence characterization for stochastic transport methods.” Trans. Am. Nucl. Soc. San Francisco, California, USA (2017)
  • B.C. Franke, A.J. Olson, S.D. Pautz, "Differential-operator and correlated-sampling methods with electron-photon transport and implementation in the Integrated TIGER Series for uncertainty quantification." Proc. Int. Conf. on Math. And Comp. Meth. Apl. To Nuc. Sci. and Eng. Jeju, South Korea (2017)
• Conference abstracts, student conference papers, and SAND reports
  • A.J. Olson, G. Geraci, D.S. Bolintineanu, K. Bossler, W.L. Davis IV, K.B. Clements, M. Olguin, L.J. Kersting, R.P. Kensek, B.C. Franke, C.M. Perfetti, G. Popoola, R. Davis, E.H. Vu, “Next generation uncertainty quantification and stochastic media Monte Carlo transport methods” SAND2022-10045 (2022)
  • K.B. Clements, G. Geraci, A.J. Olson, "A variance deconvolution approach to sampling uncertainty quantification for Monte Carlo radiation transport solvers." SIAM Conf. on UQ (2022, PlaybookMC played critical role in verifying student code used to produce the reported results)
  • E.H. Vu (A.J. Olson mentor), "Use of Woodcock tracking to enable deferred material definition for transport in stochastic media." Am. Nucl. Soc. Student Conf. Richmond, Virginia, USA (2019)