Ghent University Academic Bibliography

Advanced

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

Lesley De Cruz UGent, Jan Ryckebusch UGent, Tom Vrancx UGent 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
2013-09-17 10:49:48
@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.