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dc.creatorLandman, Jacob Taylor
dc.date.accessioned2014-06-16T15:50:33Z
dc.date.available2014-06-16T15:50:33Z
dc.date.created2014-05
dc.date.issued2013-09-19
dc.date.submittedMay 2014
dc.identifier.urihttp://hdl.handle.net/1969.1/152027
dc.description.abstractThe Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and solving the radiation transport equation. During an IMC run a grid network is constructed and particles are sourced into the problem to simulate the transport of energy in the form of radiation. Particles that reach the end of a time step without losing their entire energy are moved to "census" and will continue in the next time step. In order to reduce the variance of the solution, a neutronics technique called "weight windows" is applied, which allows for a greater number of particles to reach the census. With a larger number of particles in each grid, obtaining good statistics becomes much more probable. Along with weight windows, two other techniques called "Roulette" and "Analog" are implemented to remove excess particles from the problem and reduce computational time. The implementation of these techniques should reduce the total variance of the solutions obtained using IMC and increase the efficiency of Monte Carlo particle simulations.en
dc.format.mimetypeapplication/pdf
dc.subjectImplicit Monte Carlo, Variance Reduction, Russian Roulette, Weight Windowsen
dc.titleVariance Reduction Techniques for Implicit Monte Carlo Simulationsen
dc.typeThesisen
thesis.degree.departmentNuclear Engineeringen
thesis.degree.disciplineNuclear Engineeringen
thesis.degree.grantorHonors and Undergraduate Researchen
dc.contributor.committeeMemberMcClarren, Ryan G
dc.type.materialtexten
dc.date.updated2014-06-16T15:50:33Z


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