Bayesian Analysis Application in Nuclear Physics

Parada T. P. Hutauruk

2018

Abstract

Bayesian analysis is applied to analyze the CLAS experimental data of the angular distributions of the differential crosssections, and Cx0 and Cz0 double polarizations for γ+p→K+ +Λ reaction. These observables can be classified into four Legendre classes and represented by associated Legendre polynomial function itself. In this analysis, we intend to determine the best data model for both observables. We use the Bayesian technique to select the best model by calculating the posterior probabilities and comparing the posterior among the models for each observable. The posteriors probabilities for each data model are computed using a Nested sampling integration. From this analysis, we found that the CLAS dataset needs no more than four associated Legendre polynomials to describe the differential cross section data. For Cx0 and Cz0 double polarizations require two and three order of associated Legendre polynomials respectively to describe the data well. The extracted coefficients of each observable of the best model are presented. It shows the structure of baryon resonances qualitatively.

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Paper Citation


in Harvard Style

Hutauruk P. (2018). Bayesian Analysis Application in Nuclear Physics. In Proceedings of the Built Environment, Science and Technology International Conference - Volume 1: BEST ICON, ISBN 978-989-758-414-5, pages 310-315. DOI: 10.5220/0008908700002481


in Bibtex Style

@conference{best icon18,
author={Parada T. P. Hutauruk},
title={Bayesian Analysis Application in Nuclear Physics},
booktitle={Proceedings of the Built Environment, Science and Technology International Conference - Volume 1: BEST ICON,},
year={2018},
pages={310-315},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008908700002481},
isbn={978-989-758-414-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the Built Environment, Science and Technology International Conference - Volume 1: BEST ICON,
TI - Bayesian Analysis Application in Nuclear Physics
SN - 978-989-758-414-5
AU - Hutauruk P.
PY - 2018
SP - 310
EP - 315
DO - 10.5220/0008908700002481