Symbolic Implicit Monte Carlo

The Origins of Implicit Monte Carlo

A flexible and accurate method for solving nonlinear, frequency-dependent radiation transport problems called Implicit Monte Carlo (IMC) was first introduced in early 1971 by Lawrence Livermore scientists J. A. Fleck, Jr. and J. D. Cummings.

Pros:

Cons:

Symbolic Implicit Monte Carlo

In Symbolic Implicit Monte Carlo (SIMC) photon bundles carry symbolic weights until census is reached and the calculation time is independent of the opacity of the medium. Originally introduced by Eugene Brooks, SIMC obtains excellent computational efficiency and numerical stability for optically thick media. This introduced a new implicit Monte Carlo technique for solving time dependent radiation transport problems involving spontaneous emission.  In this technique, the effective scattering term does not occur and the execution time for the Monte Carlo portion of the algorithm is independent of opacity. 

Pros:

Cons:

Future Prospects

Currently, work is underway to further improve the computational efficiency of SIMC.  Eugene Brooks, Frank Daffin, Scott McKinley and Abraham Szoke have been investigating the effects of frequency biasing as a means of variance reduction in the calculation.  Biasing in space and time is under investigation as well.

A Fully Implicit version of SIMC has been performed and analysized. It only requires a little additional documentation for it to be published. The Fully Implicit version is suitable for laser work where high gain makes SIMC and IMC unstable.

In addition, work has begun to derive a Difference Formulation that is based on solving the difference between the photon flux and the quasi-steady-state solution. Results in this are too early to state. However, it appears that the formulation is highly efficient and accurate in very opaque regions where the temperature changes gradually.

 

UCRL-WEB-200195

mckinley9@llnl.gov

Updated:  October 9, 2003