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Effectiveness of iterative algorithms in recovering phase in the presence of noise
DOI:
10.1107/S0108767306047209
PMID:
17179605
Authors:
Garth
Williams
(University of Illinois)
,
Mark
Pfeifer
(University of Illinois)
,
Ivan
Vartanyants
(University of Illinois)
,
Ian
Robinson
(University of Illinois)
Co-authored by industrial partner:
No
Type:
Journal Paper
Journal:
Acta Crystallographica Section A Foundations Of Crystallography
, VOL 63
, PAGES 36 - 42
State:
Published (Approved)
Published:
January 2007
Abstract: Inversion of coherent X-ray diffraction patterns allows the imaging of three-dimensional density distributions. The recovery of such shapes often requires application of iterative algorithms, such as Fienup's error reduction or hybrid input/output. Since the measurement of such a pattern records the intensity in reciprocal space, any errors due to noise will probably not have a straightforward impact on the final real-space result. In this paper, the effect of the types of noise common in coherent X-ray diffraction (CXD) experiments, counting statistics, scatter from alien particles and detector noise, on the recovered real-space density projection is explored by simulating a two-dimensional CXD pattern and adding noise. It is found that an R factor measuring the reproducibility between the best and second-best real-space result is a leading indicator of performance.
Journal Keywords: Iterative Algorithms; Noise; Phase Recovery
Subject Areas:
Physics
Facility: APS
Added On:
16/07/2010 11:30
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