J. Appl. Cryst. (1969). 2, 65-71.

A Profile Refinement Method for Nuclear and Magnetic Structures

H.M. Rietveld
Reactor Centrum Nederland, Petten (N-H.), The Netherlands

Received 29 November 1968

Abstract

A structure refinement method is described which does not use integrated neutron powder intensities, single or overlapping, but employs directly the profile intensities obtained from step-scanning measurements of the powder diagram. Nuclear as well as magnetic structures can be refined, the latter only when their magnetic unit cell is equal to, or a multiple of, the nuclear cell. The least-squares refinement procedure allows, with a simple code, the introduction of linear or quadratic constraints between the parameters.

Introduction

The powder method has gained a new importance in neutron diffraction owing to the general lack of large specimens for single-crystal methods. Even in those cases where it proves to be possible to grow large single crystals, these may still suffer from such effects as extinction and magnetic domain structures, making a proper interpretation of the diffracted intensities unreliable. Many of these systematic effects are either nonexistent in the powder method, or become isotropic and can therefore be more easily determined.

In a polycrystalline sample it is inevitable that certain information is lost as a result of the random orientation of the crystallites. A further, and in practice more serious, loss of information is a result of the overlap of independent diffraction peaks in the powder diagram. The method of using the total integrated intensities of the separate groups of overlapping peaks in the least-squares refinement of structures (Rietveld, 1966), leads to the loss of all the information contained in the often detailed profile of these composite peaks.

By the use of these profile intensities instead of the integrated quantities in the refinement procedure, however, this difficulty is overcome and it allows the extraction of the maximum amount of information contained in the powder diagram (Rietveld, 1967a). Because of the importance of magnetic structures in neutron diffraction, the refinement method has been made applicable both to nuclear and to magnetic structures. The latter only comprise those structures which can be described on the nuclear unit cell or a multiple thereof.

Experimental

The neutron powder spectrometer in Petten operates with a wavelength of tex2html_wrap_inline368 , pyrolytic graphite being used to suppress the second order contribution (Loopstra, 1966; Bergsma & van Dijk, 1967). Soller slits with angular divergences ranging from 10' to 30' can be installed between the reactor and the monochromator, and in front of the tex2html_wrap_inline374 counter. The monochromator normally consists of a Cu crystal with its (111) plane in the reflecting position. The sample is contained in a thin-walled vanadium tube, approximately 6 cm long and with a diameter of 1, 1.5, or 2 cm. The maximum scattering angle is tex2html_wrap_inline380 and the step width usually ranges from 2.16' to 8.64' depending on the divergences of the Soller slits. The counter scans through the diffraction peaks and at each step, at position tex2html_wrap_inline386 , measures a number of counts tex2html_wrap_inline388 for a preset monitor count. The background of the recorded diagram is evaluated graphically at different positions and used to obtain, by linear interpolation, background corrections tex2html_wrap_inline390 for each intensity tex2html_wrap_inline388 . To the corrected intensity, tex2html_wrap_inline394 , is assigned a statistical weight tex2html_wrap_inline396 , where tex2html_wrap_inline398 . Because tex2html_wrap_inline390 is obtained by graphical means, its variance is not known and is arbitrarily set equal to zero. With the variance of tex2html_wrap_inline388 from counting statistics equal to tex2html_wrap_inline388 , tex2html_wrap_inline396 becomes tex2html_wrap_inline408 .

Peak shape

The measured profile of a single powder diffraction peak is dependent on the neutron spectral distribution, the monochromator mosaic distribution, the transmission functions of the Soller slits, and the sample shape and crystallinity. While each of these contributions can have a form not necessarily Gaussian, it still is an empirical fact that their convolution produces almost exactly a Gaussian peak shape (Fig.1). Assuming this Gaussian peak shape for each Bragg peak, one can now write its contribution to the measured profile tex2html_wrap_inline410 at position tex2html_wrap_inline386 as

equation14

where

tabular19

Because the absorption of neutrons in the sample is generally negligibly small, no corresponding correction factor has been included in the above expression.

Putting tex2html_wrap_inline428 equation (1) can be simplified to

equation25

At very low scattering angles, however, the peaks begin to show a pronounced asymmetry. This is mainly because of the use of finite slit heights together with finite sample heights. This vertical divergence effect (Klug & Alexander, 1959) causes the maximum of the peak to shift to lower angles, but does not affect the integrated peak area. Introduction of a semi-empirical correction factor in equation (2) gives a good approximation to the asymmetric peak profile (Fig.2):

equation27

where P is the asymmetry parameter and s =+1,0,-1 depending on the difference tex2html_wrap_inline434 being positive, zero, or negative respectively. As can be seen from Fig.2, this correction has two main effects: the peak is shifted to lower angles and the Gaussian peak shape is made slightly asymmetric.

The peak width

The formula given by Caglioti, Paoletti & Ricci (1958) to express the angular dependence of the halfwidths of the diffraction peaks can be simplified to

equation30

where U, V, and W are the halfwidth parameters. This simple formula also takes account of the peak broadening resulting from the particle-size effect and describes very adequately the experimentally observed variation of halfwidth with scattering angle (Fig.3).

Initial and approximate values for these parameters are found by graphically measuring the halfwidth tex2html_wrap_inline442 of selected single peaks in the diagram and finding a least-squares fit to these observed quantities through equation (4).

Preferred orientation correction

Plate-like crystallites have a tendency, at least in part of the sample, to align their normals along the axis of the cylindrical sample holder. When this effect is not too pronounced, a condition which is generally fulfilled in neutron diffraction where large samples are common, the intensity corrected for preferred orientation can be written as

equation33

where tex2html_wrap_inline444 is the acute angle between the scattering vector and the normal to the crystallites. G is the preferred orientation parameter and is a measure for the halfwidth of the assumed Gaussian distribution of the normals about the preferred orientation direction.

Method of calculation

Equation (3) can also be written as

displaymath38

where

displaymath41

tex2html_wrap_inline448 is a measure of the contribution of the Bragg peak at position tex2html_wrap_inline450 to the diffraction profile tex2html_wrap_inline410 at position tex2html_wrap_inline386 .

Because the tails of a Gaussian peak decrease rather rapidly, no large error is introduced by assuming the peak to extend no further than one and a half times its halfwidth on both sides of its central position. In the case of overlap, more than one Bragg peak contributes to the profile intensity, tex2html_wrap_inline410 , i.e.

displaymath47

where the summation is over all reflections which can theoretically contribute to tex2html_wrap_inline410 on the basis of their position tex2html_wrap_inline450 and their halfwidth tex2html_wrap_inline442 . For larger scattering angles and for crystals with a low symmetry, this summation can easily be over more than ten terms. On the other hand, there may be regions of the diagram where no peaks can possibly contribute and these regions are therefore left out of the calculations as containing no relevant information.

external

Fig.1. Comparison of a measured diffraction peak, ....., with a calculated Gaussian peak profile, ---.

external

Fig.2. Comparison of an asymmetric diffraction peak with a symmetric and an asymmetry-corrected calculated profile: ..... measured intensities, - - - symmetric Gauss curve,
--- asymmetric curve.

external

Fig.3. Variation of peak width with Bragg angle; ..... measured halfwidths,
--- calculated curve.

The structure factor

By writing

displaymath60

the preferred orientation correction [see equation (5)] and the overall temperature factor are kept outside the expressions for the nuclear and magnetic structure factors. Q is here the overall isotropic temperature parameter.

{ The expression for tex2html_wrap_inline466 can be written as tex2html_wrap_inline468 where

displaymath62

and

displaymath67

tabular73

The occupation number tex2html_wrap_inline492 for fully occupied lattice sites is equal to m/M where m is the multiplicity of the position, special or general, and M is the multiplicity of the general position in the particular space group. The value of m ranges in general from 1 to M.

The magnetic coherent scattering cross section can be expressed as

equation80

where tex2html_wrap_inline504 is the unit vector in the direction of the scattering vector tex2html_wrap_inline506 and tex2html_wrap_inline508 , the magnetic structure factor (Halpern & Johnson, 1939).

tex2html_wrap_inline508 can be resolved into its components:

displaymath92

where

eqnarray102

eqnarray112

tabular123

The above formulae for the magnetic cross section are applicable to all magnetic structures with a unit cell defined by tex2html_wrap_inline532 , tex2html_wrap_inline534 , and tex2html_wrap_inline536 where u, v, and w are integers and tex2html_wrap_inline544 , tex2html_wrap_inline546 , and tex2html_wrap_inline548 are the original nuclear unit-cell vectors.

The expression (6) is valid for all reflections, equivalent or independent, and can therefore equally well be used with powder or single-crystal methods. In powder diffraction, the number of calculations can be significantly reduced by computing only one average cross section for each set of equivalent reflections (Shirane, 1959; van Laar, 1968). For a magnetic structure with a uniaxial configurational spin symmetry, this average cross section is

displaymath136

where tex2html_wrap_inline550 is the angle between the unique axis and the scattering vector tex2html_wrap_inline552 . The unique axis is assumed to be the [001] axis.

For magnetic structures with cubic configurational spin symmetry (Shirane, 1959) this expression becomes

displaymath147

Least-squares parameters

The least-squares parameters can be divided into two groups. The first group, the profile parameters, define the positions, the halfwidths, and the possible asymmetry of the diffraction peaks in addition to a property of the powder sample i.e. preferred orientation. These parameters are

tabular159

The second group, the structure parameters, define the contents of the asymmetric unit cell:

tabular164

In order to describe the contents of the complete unit cell, it suffices to give, in addition to the contents of the asymmetric unit, the set of symmetry operations to generate the remaining positions and magnetic vectors in the cell. The symmetry operations on the nuclear positions consist of a rotation and a translation, i.e.

displaymath176

where tex2html_wrap_inline586 and tex2html_wrap_inline588 are respectively a tex2html_wrap_inline590 rotation matrix and a tex2html_wrap_inline592 translation vector describing the ith equivalent position.

The magnetic vector can undergo a rotation only, i.e.

displaymath191

where tex2html_wrap_inline596 is a tex2html_wrap_inline590 rotation matrix describing the rotation of the magnetic vector of the ith atom on going from the asymmetric unit to the ith equivalent position. The subscript i on this matrix indicates that not all magnetic vectors have to undergo the same rotation when being transformed to the ith equivalent position. Each magnetic atom in the asymmetric unit may therefore have its own set of rotation matrices.

Least-squares refinement

The principle of the profile refinement method is best demonstrated by the form of the function M which has to be minimized with respect to the parameters. While for the normal refinement procedure on separated integrated intensities this function is

displaymath210

and on the integrated intensities of groups of overlapping reflections,

displaymath217

this function becomes, in the case of profile refinement,

displaymath224

where

tabular232

A computer program, based on the above described method, carries out the least-squares refinement in the usual manner. Because the problem is not linear in the parameters, approximate values for all parameters are required for the first refinement cycle. These are refined in subsequent refinement cycles until a certain convergence criterion has been reached.

The program provides the possibility of keeping any parameter constant during refinement or of introducing constraints between any number of them (Rollett, 1965; Rietveld, 1967b). The input procedure allows the constraint functions to be either linear or quadratic in all parameters. The latter type of function, for instance, enables the length of a magnetic vector to be kept constant while refinement is carried out on its direction. This introduction of constraint functions, however, increases the size of the, in this case bordered, normal matrix and may lead to possible instabilities in the subsequent inversion when the matrix becomes too large. For very simple linear constraints, therefore, the program allows a substitution method which in effect decreases the size of the matrix.

In order to be able to make some quantitative judgment of the agreement between observed and calculated integrated intensities instead of profile intensities, a fair approximation to the observed integrated intensities can be made by separating the peaks according to the calculated values of the integrated intensities, i.e.

equation236

where

tabular244

From the values tex2html_wrap_inline620 one can now obtain values for tex2html_wrap_inline622 ), tex2html_wrap_inline624 , and tex2html_wrap_inline626 and define the following R values:

displaymath254

displaymath262

displaymath270

and

displaymath278

Results

Over the past year many structures, nuclear as well as magnetic, have been refined with the method. An example of a nuclear structure is tex2html_wrap_inline630 (Loopstra & Rietveld, 1969). Its powder diagram (Fig.4) shows hardly any overlap and the structure may have been as successfully refined with integrated intensities. The reason for inclusion of this diagram, however, is the fact that it demonstrates the nearly perfect fit obtainable on the assumptions of a Gaussian peak shape [equation (1)] and a quadratic relation between halfwidth and scattering angle [equation (4)].

The powder diagram (Fig.5) of tex2html_wrap_inline632 exhibits severe overlap. At large angles, more than ten reflections may contribute to a profile intensity. While the information content of this part of the diagram is low, the agreement between observed and calculated profiles shows that even this amount has been used to the fullest extent. Some of the other structures are shown in Table 1 with their R values. The large tex2html_wrap_inline636 values in this list are caused by the fact that the nuclear scattering generally overrides the magnetic contributions, making the above-described method of separating peaks [equation(7)] very unreliable for these magnetic intensities. This, however, does not indicate that the magnetic moments found by this least-squares procedure suffer from the same inaccuracy, their relative statistical errors being in the range of tex2html_wrap_inline638 . It only demonstrates the potential of the method for extracting the maximum available information from a powder diagram as opposed to any peak-separation method. It may also be remarked here that an increase in the resolution of the diagram, while of no use in peak separation methods if it does not produce separable peaks, is always profitable in the profile method because it results in a higher information content owing to increased detail in the profile.

external

Fig.4. Neutron powder diffraction diagram of tex2html_wrap_inline630 measured at tex2html_wrap_inline642 ;
--- calculated profile, . . . . measured profile.

external

Fig.5. Neutron powder diffraction diagram of tex2html_wrap_inline632 measured at tex2html_wrap_inline642 ;
--- calculated profile, . . . . measured profile.

Table 1. R Values of various nuclear and magnetic structures.

tabular297

Computer program

The least-squares refinement program has been written in Algol 60 to be run on an Electrologica X-8 computer having 48 K words (26 bits) core storage and magnetic tape units. Because of the necessity of comparing graphical data in the form of calculated and observed diffraction diagrams, instead of the usual integrated intensities, extensive use is being made of an automatic incremental plotter.

A detailed description of the program can be obtained from the author (Rietveld, 1969).

Conclusion

In all instances the profile refinement procedure has proved to be superior to any other method involving either peak separation or the use of the total integrated intensity of groups of overlapping peaks. It is felt that in this way one of the inherent drawbacks of the powder method, i.e. the loss of information as a result of overlap, has been effectively overcome and that the method in many instances can now compete with single-crystal methods, especially when these are subject to systematic errors.

The method can in principle also be extended to X-ray powder diagrams, if a satisfactory function can be found to describe the peak profiles. However, the method will remain best suited for neutron powder- techniques because of the nearly exactly Gaussian shape of the diffraction peaks and the possibility of describing the variation of halfwidth with Bragg angle in terms of a simple quadratic function.

The author wishes to thank Drs B.O. Loopstra and B. van Laar for their suggestions and helpful criticism.

References

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ROLLETT, J. S. (1965). Computing Methods in Crystallography. p. 33. Oxford: Pergamon Press.
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