An adaptive-in-temperature method for on-the-fly sampling of thermal neutron scattering data in continuous-energy Monte Carlo codes
Authors
Pavlou, Andrew Theodore
ORCID
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Other Contributors
Ji, Wei
Brown, Forrest
Danon, Yaron
Drew, Donald A. (Donald Allen), 1945-
Trumbull, Timothy
Brown, Forrest
Danon, Yaron
Drew, Donald A. (Donald Allen), 1945-
Trumbull, Timothy
Issue Date
2015-12
Keywords
Nuclear engineering and science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
While on-the-fly methods have recently been developed for higher energy regimes, the double differential scattering of thermal neutrons has not been examined in detail until now. In this dissertation, an on-the-fly sampling method is developed by investigating the temperature dependence of the thermal double differential scattering distributions. The temperature dependence is analyzed with a linear least squares regression test to develop fit coefficients that are used to sample thermal scattering data at any temperature. The amount of pre-stored thermal scattering data has been drastically reduced from around 25 megabytes per temperature per nuclide to only a few megabytes per nuclide by eliminating the need to compute data at discrete temperatures. The fits are capable of accurately reproducing the thermal scattering probabilities and accounting for thermal binding effects.
Description
December 2015
School of Engineering
School of Engineering
Department
Dept. of Mechanical, Aerospace, and Nuclear Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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