Physics
Scientific paper
Sep 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010njph...12i3042d&link_type=abstract
New Journal of Physics, Volume 12, Issue 9, pp. 093042 (2010).
Physics
Scientific paper
Statistical information about measurement errors is incorporated in an algorithm that reconstructs the image of an object from x-ray diffraction data. The distribution function of measurement errors is included directly into reconstruction processes using a statistically based amplitude constraint. The algorithm is tested using simulated and experimental data and is shown to yield high-quality reconstructions in the presence of noise. This approach can be generalized to incorporate experimentally determined measurement error functions into image reconstruction algorithms.
Balaur E.
Dilanian R. A.
McNulty Ian
Nugent Keith A.
Peele Andrew G.
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