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Details of Grant 

EPSRC Reference: GR/L36048/01
Title: A BAYESIAN APPROACH TO ENHANCED INFORMATION RECOVERY AND QUANTITATIVE PHASE ANALYSIS IN DIFFRACTION DATA
Principal Investigator: David, Professor WIF
Other Investigators:
Sivia, Dr D
Researcher Co-Investigators:
Project Partners:
Department: ISIS Pulsed Neutron & Muon Source
Organisation: STFC Laboratories (Grouped)
Scheme: Standard Research (Pre-FEC)
Starts: 06 May 1997 Ends: 05 February 2001 Value (£): 126,394
EPSRC Research Topic Classifications:
Analytical Science
EPSRC Industrial Sector Classifications:
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Panel History:  
Summary on Grant Application Form
The principal aims of this project are (I) to provide a coherent Bayesian approach to structure solution, refinement and quantitative phase analysis from powder diffraction data and (ii) to provide generic Bayesian analysis tools for a wide range of analytical chemistry problems. Specifically, we will develop our peak-finding algorithms for powder diffraction and inelastic neutron scattering data and generalise to infra-red, Raman and Mossbauer data. We will develop our model selection algorithms in the area of powder diffraction to space group determination, significance testing between different structural models and microstructural line-shape analysis. Outside profile analysis, we will develop model-selection criteria for the interpretation of specific heat data and trend analysis of structural data (e.g. the detection of phase transitions from lattice parameter variations as a function of temperature). We will use Baysian methods for the optimal Fourier analysis of crystal structures and develop expert structures for the rapid quantitative phase analysis of powder diffraction data.
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