Show simple item record

The response history Monte Carlo method for electron transport.

dc.contributor.authorBallinger, Clinton Troy
dc.contributor.advisorMartin, William R.
dc.date.accessioned2016-08-30T16:55:46Z
dc.date.available2016-08-30T16:55:46Z
dc.date.issued1991
dc.identifier.urihttp://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:9208489
dc.identifier.urihttps://hdl.handle.net/2027.42/128792
dc.description.abstractThe Response History Monte Carlo (RHMC) method, a new Monte Carlo method developed for electron transport problems, has significant advantages over existing electron transport methodologies. Among these current methods, the condensed history methodology, used in most existing Monte Carlo electron transport codes, is inadequate for low energy electron transport problems. Condensed history requires a number of restrictive assumptions about the scattering characteristics in order to analytically determine the electron state (energy, direction, and position) after several collisions. These assumptions, which are valid at high energies, fail with decreasing energy and increasing atomic number. Analog Monte Carlo is sometimes used as an alternative to the condensed history method but modeling individual interactions for electron transport problems is very time consuming. However, the results from analog Monte Carlo calculations are typically very accurate. The RHMC method combines the computational speed of the condensed history method with accuracy comparable to analog Monte Carlo. This is done by sampling from pre-constructed probability distribution functions (PDFs) that represent the electron state after the electrons have traveled a certain distance. These PDFs are similar to the multi-scatter distributions used in condensed history, but are constructed through an analog Monte Carlo simulation. Hence, the PDFs are free from the assumptions required to construct the condensed history PDFs. The RHMC method is divided into two separate calculations: a local calculation which is used to generate the PDFs over a small region; and a global calculation which samples from these predetermined PDFs to simulate electron transport through a thicker material. The method has been shown to be effective for electron transport problems at all energies for which analog Monte Carlo is valid and is more accurate than condensed history calculations for many low energy (below 200 keV) problems. The RHMC method is particularly attractive for use on sub-MeV electrons, because analog Monte Carlo calculations are too time-consuming and condensed history calculations are inaccurate.
dc.format.extent204 p.
dc.languageEnglish
dc.language.isoEN
dc.subjectElectron
dc.subjectHistory
dc.subjectMethod
dc.subjectMonte Carlo
dc.subjectResponse
dc.subjectTransport
dc.titleThe response history Monte Carlo method for electron transport.
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineApplied Sciences
dc.description.thesisdegreedisciplineHealth and Environmental Sciences
dc.description.thesisdegreedisciplineMedical imaging
dc.description.thesisdegreedisciplineNuclear engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/128792/2/9208489.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.