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Dartmouth College

Structural Biology

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Bayesian Reconstruction Of P(R) Directly From Two-Dimensional Detector Images Via A Markov Chain Monte Carlo Method, Sudeshna Paul, Alan M. Friedman, Chris Bailey-Kellogg, Bruce Craig Apr 2013

Bayesian Reconstruction Of P(R) Directly From Two-Dimensional Detector Images Via A Markov Chain Monte Carlo Method, Sudeshna Paul, Alan M. Friedman, Chris Bailey-Kellogg, Bruce Craig

Dartmouth Scholarship

The interatomic distance distribution, P(r), is a valuable tool for evaluating the structure of a molecule in solution and represents the maximum structural information that can be derived from solution scattering data without further assumptions. Most current instrumentation for scattering experiments (typically CCD detectors) generates a finely pixelated two-dimensional image. In contin­uation of the standard practice with earlier one-dimensional detectors, these images are typically reduced to a one-dimensional profile of scattering inten­sities, I(q), by circular averaging of the two-dimensional image. Indirect Fourier transformation methods are then used to reconstruct P(r) from …