Bayesian analysis for kaon photoproduction

T. Marsainy, Terry Mart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have investigated contribution of the nucleon resonances in the kaon photoproduction process by using an established statistical decision making method, i.e. the Bayesian method. This method does not only evaluate the model over its entire parameter space, but also takes the prior information and experimental data into account. The result indicates that certain resonances have larger probabilities to contribute to the process.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
EditorsMitra Djamal, Nandang Mufti, Markus Diantoro
PublisherAmerican Institute of Physics Inc.
Pages83-86
Number of pages4
ISBN (Electronic)9780735412545
DOIs
Publication statusPublished - 1 Jan 2014
Event3rd International Conference on Theoretical and Applied Physics 2013, ICTAP 2013 - Malang, East Java, Indonesia
Duration: 10 Oct 201311 Oct 2013

Publication series

NameAIP Conference Proceedings
Volume1617
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Conference on Theoretical and Applied Physics 2013, ICTAP 2013
CountryIndonesia
CityMalang, East Java
Period10/10/1311/10/13

Keywords

  • Bayesian analysis
  • Kaon photoproduction
  • Nucleon resonances

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  • Cite this

    Marsainy, T., & Mart, T. (2014). Bayesian analysis for kaon photoproduction. In M. Djamal, N. Mufti, & M. Diantoro (Eds.), AIP Conference Proceedings (pp. 83-86). (AIP Conference Proceedings; Vol. 1617). American Institute of Physics Inc.. https://doi.org/10.1063/1.4897110