Matches in SemOpenAlex for { <https://semopenalex.org/work/W2075490073> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2075490073 endingPage "1308" @default.
- W2075490073 startingPage "1297" @default.
- W2075490073 abstract "This paper demonstrates a parameter identification problem encountered in the assay of intermediate-level nuclear waste vaults. A lumped parameter model of the vault contents is employed in which a likely geometry is assumed so as to reduce the number of unknown quantities in the resulting inverse problem. The inverse problem is tackled using Bayesian statistics, and the statistical distributions are sampled using a Markov chain Monte Carlo approach. The Bayesian approach affords flexibility in the specification of prior information: i.e. information that is known in advance of recording any measurements. Two parameterizations of the problem are considered: one involving five parameters and the other involving three parameters. It is shown that in order to obtain a satisfactory solution to the five-parameter problem a very specific type of prior information has to be specified, whereas for the three-parameter problem much less specific prior information is required. The inverse problem of identifying the model parameters in both the three-parameter and five-parameter formulations is solved with limited, but quantifiable precision." @default.
- W2075490073 created "2016-06-24" @default.
- W2075490073 creator A5054151221 @default.
- W2075490073 creator A5071099152 @default.
- W2075490073 date "2006-11-01" @default.
- W2075490073 modified "2023-10-14" @default.
- W2075490073 title "A statistical method for passive gamma ray tomography of nuclear waste vaults" @default.
- W2075490073 cites W1650310283 @default.
- W2075490073 cites W2020945552 @default.
- W2075490073 cites W2049882758 @default.
- W2075490073 cites W2056760934 @default.
- W2075490073 cites W2059632291 @default.
- W2075490073 cites W2065390928 @default.
- W2075490073 cites W2069739265 @default.
- W2075490073 cites W2248940463 @default.
- W2075490073 doi "https://doi.org/10.1016/j.anucene.2006.09.002" @default.
- W2075490073 hasPublicationYear "2006" @default.
- W2075490073 type Work @default.
- W2075490073 sameAs 2075490073 @default.
- W2075490073 citedByCount "1" @default.
- W2075490073 crossrefType "journal-article" @default.
- W2075490073 hasAuthorship W2075490073A5054151221 @default.
- W2075490073 hasAuthorship W2075490073A5071099152 @default.
- W2075490073 hasConcept C105795698 @default.
- W2075490073 hasConcept C107673813 @default.
- W2075490073 hasConcept C111350023 @default.
- W2075490073 hasConcept C11413529 @default.
- W2075490073 hasConcept C126255220 @default.
- W2075490073 hasConcept C134306372 @default.
- W2075490073 hasConcept C135252773 @default.
- W2075490073 hasConcept C167928553 @default.
- W2075490073 hasConcept C19499675 @default.
- W2075490073 hasConcept C207467116 @default.
- W2075490073 hasConcept C2524010 @default.
- W2075490073 hasConcept C2780598303 @default.
- W2075490073 hasConcept C28826006 @default.
- W2075490073 hasConcept C2983447341 @default.
- W2075490073 hasConcept C33923547 @default.
- W2075490073 hasConcept C41008148 @default.
- W2075490073 hasConcept C79610928 @default.
- W2075490073 hasConceptScore W2075490073C105795698 @default.
- W2075490073 hasConceptScore W2075490073C107673813 @default.
- W2075490073 hasConceptScore W2075490073C111350023 @default.
- W2075490073 hasConceptScore W2075490073C11413529 @default.
- W2075490073 hasConceptScore W2075490073C126255220 @default.
- W2075490073 hasConceptScore W2075490073C134306372 @default.
- W2075490073 hasConceptScore W2075490073C135252773 @default.
- W2075490073 hasConceptScore W2075490073C167928553 @default.
- W2075490073 hasConceptScore W2075490073C19499675 @default.
- W2075490073 hasConceptScore W2075490073C207467116 @default.
- W2075490073 hasConceptScore W2075490073C2524010 @default.
- W2075490073 hasConceptScore W2075490073C2780598303 @default.
- W2075490073 hasConceptScore W2075490073C28826006 @default.
- W2075490073 hasConceptScore W2075490073C2983447341 @default.
- W2075490073 hasConceptScore W2075490073C33923547 @default.
- W2075490073 hasConceptScore W2075490073C41008148 @default.
- W2075490073 hasConceptScore W2075490073C79610928 @default.
- W2075490073 hasIssue "16" @default.
- W2075490073 hasLocation W20754900731 @default.
- W2075490073 hasOpenAccess W2075490073 @default.
- W2075490073 hasPrimaryLocation W20754900731 @default.
- W2075490073 hasRelatedWork W1814189289 @default.
- W2075490073 hasRelatedWork W2004989359 @default.
- W2075490073 hasRelatedWork W2032683284 @default.
- W2075490073 hasRelatedWork W2037868053 @default.
- W2075490073 hasRelatedWork W2043531642 @default.
- W2075490073 hasRelatedWork W2075490073 @default.
- W2075490073 hasRelatedWork W2157749198 @default.
- W2075490073 hasRelatedWork W2762937150 @default.
- W2075490073 hasRelatedWork W2973164578 @default.
- W2075490073 hasRelatedWork W3019491009 @default.
- W2075490073 hasVolume "33" @default.
- W2075490073 isParatext "false" @default.
- W2075490073 isRetracted "false" @default.
- W2075490073 magId "2075490073" @default.
- W2075490073 workType "article" @default.