[Clas_hadron] CHEP Abstract

[Stefanie Lewis]

Hi everyone,

I would like to submit an abstract for the CHEP 2013 conference in 
Amsterdam this October.  This is the same abstract (attached) that I 
sent round for the Baryons13 conference, after some suggestions. The 
only change is the last line where I now specify that my results are 
from the K-Lambda channel.

Please let me know if you have any comments, concerns 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 for the K-Lambda channel will be discussed.