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Bayesian analysis of kaon photoproduction with the Regge-plus-resonance model

Lesley De Cruz, Jan Ryckebusch UGent, Tom Vrancx and Pieter Vancraeyveld UGent (2012) PHYSICAL REVIEW C. 86(1).
abstract
We address the issue of unbiased model selection and propose a methodology based on Bayesian inference to extract physical information from kaon photoproduction γp→K+Λ data. We use the single-channel Regge-plus-resonance (RPR) framework for γp→K+Λ to illustrate the proposed strategy. The Bayesian evidence Z is a quantitative measure for the model's fitness given the world's data. We present a numerical method for performing the multidimensional integrals in the expression for the Bayesian evidence. We use the γp→K+Λ data with an invariant energy W>2.6 GeV in order to constrain the background contributions in the RPR framework with Bayesian inference. Next, the resonance information is extracted from the analysis of differential cross sections and single- and double-polarization observables. This background and resonance content constitutes the basis of a model, which is coined RPR-2011. It is shown that RPR-2011 yields a comprehensive account of the kaon photoproduction data and provides reasonable predictions for e+p→e′+K++Λ observables.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
ENERGIES, POLARIZATION, ELECTROPRODUCTION, BARYON MASSES, GAMMA-P, PION, OBSERVABLES, ALGORITHM, K&LAMBDA, K+LAMBDA
journal title
PHYSICAL REVIEW C
Phys. Rev. C
volume
86
issue
1
article number
015212
pages
19 pages
Web of Science type
Article
Web of Science id
000306928900003
JCR category
PHYSICS, NUCLEAR
JCR impact factor
3.715 (2012)
JCR rank
3/21 (2012)
JCR quartile
1 (2012)
ISSN
0556-2813
DOI
10.1103/PhysRevC.86.015212
project
HPC-UGent: the central High Performance Computing infrastructure of Ghent University
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2965855
handle
http://hdl.handle.net/1854/LU-2965855
date created
2012-07-31 09:58:35
date last changed
2016-12-21 15:41:13
@article{2965855,
  abstract     = {We address the issue of unbiased model selection and propose a methodology based on Bayesian inference to extract physical information from kaon photoproduction \ensuremath{\gamma}p{\textrightarrow}K+\ensuremath{\Lambda} data. We use the single-channel Regge-plus-resonance (RPR) framework for \ensuremath{\gamma}p{\textrightarrow}K+\ensuremath{\Lambda} to illustrate the proposed strategy. The Bayesian evidence Z is a quantitative measure for the model's fitness given the world's data. We present a numerical method for performing the multidimensional integrals in the expression for the Bayesian evidence. We use the \ensuremath{\gamma}p{\textrightarrow}K+\ensuremath{\Lambda} data with an invariant energy W{\textrangle}2.6 GeV in order to constrain the background contributions in the RPR framework with Bayesian inference. Next, the resonance information is extracted from the analysis of differential cross sections and single- and double-polarization observables. This background and resonance content constitutes the basis of a model, which is coined RPR-2011. It is shown that RPR-2011 yields a comprehensive account of the kaon photoproduction data and provides reasonable predictions for e+p{\textrightarrow}e{\textquotesingle}+K++\ensuremath{\Lambda} observables.},
  articleno    = {015212},
  author       = {De Cruz, Lesley and Ryckebusch, Jan and Vrancx, Tom and Vancraeyveld, Pieter},
  issn         = {0556-2813},
  journal      = {PHYSICAL REVIEW C},
  keyword      = {ENERGIES,POLARIZATION,ELECTROPRODUCTION,BARYON MASSES,GAMMA-P,PION,OBSERVABLES,ALGORITHM,K\&LAMBDA,K+LAMBDA},
  language     = {eng},
  number       = {1},
  pages        = {19},
  title        = {Bayesian analysis of kaon photoproduction with the Regge-plus-resonance model},
  url          = {http://dx.doi.org/10.1103/PhysRevC.86.015212},
  volume       = {86},
  year         = {2012},
}

Chicago
De Cruz, Lesley, Jan Ryckebusch, Tom Vrancx, and Pieter Vancraeyveld. 2012. “Bayesian Analysis of Kaon Photoproduction with the Regge-plus-resonance Model.” Physical Review C 86 (1).
APA
De Cruz, L., Ryckebusch, J., Vrancx, T., & Vancraeyveld, P. (2012). Bayesian analysis of kaon photoproduction with the Regge-plus-resonance model. PHYSICAL REVIEW C, 86(1).
Vancouver
1.
De Cruz L, Ryckebusch J, Vrancx T, Vancraeyveld P. Bayesian analysis of kaon photoproduction with the Regge-plus-resonance model. PHYSICAL REVIEW C. 2012;86(1).
MLA
De Cruz, Lesley, Jan Ryckebusch, Tom Vrancx, et al. “Bayesian Analysis of Kaon Photoproduction with the Regge-plus-resonance Model.” PHYSICAL REVIEW C 86.1 (2012): n. pag. Print.