Improvements and considerations for size distribution retrieval from small-angle scattering data by Monte Carlo methods
2013 ◽
Vol 46
(2)
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pp. 365-371
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Keyword(s):
Monte Carlo (MC) methods, based on random updates and the trial-and-error principle, are well suited to retrieve form-free particle size distributions from small-angle scattering patterns of non-interacting low-concentration scatterers such as particles in solution or precipitates in metals. Improvements are presented to existing MC methods, such as a non-ambiguous convergence criterion, nonlinear scaling of contributions to match their observability in a scattering measurement, and a method for estimating the minimum visibility threshold and uncertainties on the resulting size distributions.
2010 ◽
Vol 22
(40)
◽
pp. 404216
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2005 ◽
Vol 61
(a1)
◽
pp. c106-c106
2010 ◽
Vol 34
(3)
◽
pp. 158-164
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Keyword(s):
1998 ◽
Vol 31
(2)
◽
pp. 149-153
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1996 ◽
Vol 70
(4)
◽
pp. 1618-1627
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Keyword(s):
2006 ◽
Vol 129
(1-2)
◽
pp. 108-114
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Keyword(s):
2000 ◽
Vol 78
(6)
◽
pp. 3240-3251
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2017 ◽
Vol 73
(9)
◽
pp. 710-728
◽
2000 ◽
Vol 9
(6)
◽
pp. 345-353
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Keyword(s):
Keyword(s):