[Clas_hadron] Baryons13 Abstract

[Stefanie Lewis]

Hello,

I would like to submit an abstract for the upcoming Baryons13 conference 
in Glasgow, on the development of a Bayesian data analysis program for 
pseudoscalar meson photoproduction.  It will involve showing results 
from g8 obtained with this program.
Please find my abstract attached.

I welcome any comments or suggestions.

Best regards,
Stefanie

-- 
Stefanie Lewis
PhD Student
Nuclear Physics Group
University of Glasgow




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At the mass 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 will be discussed.