14-18 October 2013
Amsterdam, Beurs van Berlage
Europe/Amsterdam timezone

Development of Bayesian analysis program for extraction of polarisation observables at CLAS

14 Oct 2013, 16:55
20m
Berlagezaal (Amsterdam, Beurs van Berlage)

Berlagezaal

Amsterdam, Beurs van Berlage

Oral presentation to parallel session Event Processing, Simulation and Analysis Event Processing, Simulation and Analysis

Speaker

Stefanie Lewis

Description

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.

Primary author

Co-authors

Prof. David Ireland (University of GLasgow) Dr Wim Vanderbauwhede (University of Glasgow)

Presentation Materials