An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water

There are various routes for deriving partial radial distribution functions of disordered systems from experimental diffraction (and/or EXAFS) data. Due to limitations and errors of experimental data, as well as to imperfections of the evaluation procedures, it is of primary importance to confirm th...

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Main Authors: Z. Steinczinger, L. Pusztai
Format: Article
Language:English
Published: Institute for Condensed Matter Physics 2012-06-01
Series:Condensed Matter Physics
Subjects:
Online Access:http://dx.doi.org/10.5488/CMP.15.23606
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spelling doaj-2f6bb8d20c504efc9f57c8b16a6595942020-11-24T21:20:59ZengInstitute for Condensed Matter PhysicsCondensed Matter Physics1607-324X2012-06-0115223606An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid waterZ. SteinczingerL. PusztaiThere are various routes for deriving partial radial distribution functions of disordered systems from experimental diffraction (and/or EXAFS) data. Due to limitations and errors of experimental data, as well as to imperfections of the evaluation procedures, it is of primary importance to confirm that the end result (partial radial distribution functions) and the primary information (diffraction data) are consistent with each other. We introduce a simple approach, based on Reverse Monte Carlo modelling, that is capable of assessing this dilemma. As a demonstration, we use the most frequently cited set of "experimental" partial radial distribution functions on liquid water and investigate whether the 3 partials (O-O, O-H and H-H) are consistent with the total structure factor of pure liquid D<sub>2</sub>O from neutron diffraction and that of H<sub>2</sub>O from X-ray diffraction. We find that while neutron diffraction on heavy water is in full agreement with all the 3 partials, the addition of X-ray diffraction data clearly shows problems with the O-O partial radial distribution function. We suggest that the approach introduced here may also be used to establish whether partial radial distribution functions obtained from statistical theories of the liquid state are consistent with the measured structure factors.http://dx.doi.org/10.5488/CMP.15.23606neutron diffractionpartial radial distribution functionsReverse Monte Carlo modeling
collection DOAJ
language English
format Article
sources DOAJ
author Z. Steinczinger
L. Pusztai
spellingShingle Z. Steinczinger
L. Pusztai
An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
Condensed Matter Physics
neutron diffraction
partial radial distribution functions
Reverse Monte Carlo modeling
author_facet Z. Steinczinger
L. Pusztai
author_sort Z. Steinczinger
title An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
title_short An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
title_full An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
title_fullStr An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
title_full_unstemmed An independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
title_sort independent, general method for checking consistency between diffraction data and partial radial distribution functions derived from them: the example of liquid water
publisher Institute for Condensed Matter Physics
series Condensed Matter Physics
issn 1607-324X
publishDate 2012-06-01
description There are various routes for deriving partial radial distribution functions of disordered systems from experimental diffraction (and/or EXAFS) data. Due to limitations and errors of experimental data, as well as to imperfections of the evaluation procedures, it is of primary importance to confirm that the end result (partial radial distribution functions) and the primary information (diffraction data) are consistent with each other. We introduce a simple approach, based on Reverse Monte Carlo modelling, that is capable of assessing this dilemma. As a demonstration, we use the most frequently cited set of "experimental" partial radial distribution functions on liquid water and investigate whether the 3 partials (O-O, O-H and H-H) are consistent with the total structure factor of pure liquid D<sub>2</sub>O from neutron diffraction and that of H<sub>2</sub>O from X-ray diffraction. We find that while neutron diffraction on heavy water is in full agreement with all the 3 partials, the addition of X-ray diffraction data clearly shows problems with the O-O partial radial distribution function. We suggest that the approach introduced here may also be used to establish whether partial radial distribution functions obtained from statistical theories of the liquid state are consistent with the measured structure factors.
topic neutron diffraction
partial radial distribution functions
Reverse Monte Carlo modeling
url http://dx.doi.org/10.5488/CMP.15.23606
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