Abstract
At the mass scale of a proton, the strong force is not well understood. Various quark models exist, but it is important to determine which quark model(s) are most accurate. Experimentally, finding resonances predicted by some models and not others would give valuable insight into this fundamental interaction. Several labs around the world use photoproduction experiments to find these missing resonances. The aim of this work is to develop a robust Bayesian data analysis program for extracting polarisation observables from pseudoscalar meson photoproduction experiments using CLAS at Jefferson Lab. This method, known as nested sampling, has been compared to traditional methods and has incorporated data parallelisation and GPU programming. It involves an event-by-event likelihood function, which has no associated loss of information from histogram binning, and results can be easily constrained to the physical region. One of the most important advantages of the nested sampling approach is that data from different experiments can be combined and analysed simultaneously. Results on both simulated and previously analysed experimental data for the K+Λ channel will be discussed.
Highlights
The strong force at the level of the mass of the nucleon is not well understood
Summary In order to address the problem of understanding the strong interaction on the hadronic level, it is important to find missing resonances that are predicted by quark models, as yet unobserved
This can be done through pseudoscalar meson photoproduction experiments, such as those performed by the CLAS Collaboration at Jefferson Lab
Summary
The strong force at the level of the mass of the nucleon is not well understood. Experiments addressing this fundamental problem of nuclear physics have been performed by several international collaborations, including CLAS [1] at Jefferson Lab and A2 at Mainz. The use of Bayesian analysis in hadronic physics has several benefits over more conventional statistical methods. Nested sampling [2] is an algorithm based on Bayesian statistics that can extract more information from data than some other conventional methods. One way to find these resonances is through pseudoscalar meson photoproduction [1] reactions, where a photon beam is incident on a stationary nucleon target.
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