LSLS : Structure factor least-squares refinement

Authors: Eric Blanc & Dieter Schwarzenbach

Contact: Eric Blanc, Institut de Cristallographie, University of Lausanne, 1015 Lausanne, Switzerland

LSLS is a least-squares refinement program that follows the recommendations of the IUCr Subcommittee on Statistical Descriptors (Schwarzenbach et al., 1989). All structural parameters may be refined, with scale, Becker & Coppens extinction, dispersion, crystal shape parameters and the volume ratio of the twins. The refinement is a full matrix refinement based on net intensities or \(|F|^{2}\). Restraints on distances, bond angles, dihedral angles and rigid links are included. Various weighting schemes are provided, and variances of adjusted parameters are computed according to any scheme.

Calculations Performed

The least-squares procedure conveniently furnishes estimators for crystallographic parameters which minimize (4.68)

(4.68) \[ \Delta = \sum_{k} {w_k (Y_k^{\rm{obs}}- Y_k^{\rm{calc}})^2 } \]

where \(Y^{{\rm obs}}\) is an observation, such as a measured intensity, a restraint or a face distance of the crystal. \(Y^{{\rm calc}}\) is the corresponding value computed by the model and is a function of the variables { \(v_{i}\) }. The weights \(w_{k}\) are in general any non-negative real numbers independent of the observations. They form a diagonal weighting matrix W.

Apart from when \(Y^{{\rm calc}} \) is linear in the variables { \(v_{i}\) }, minimisation of (4.68) with respect to \(v_{i}\) leads to a system of equations which is in general not solvable. The solution is then approximated by iterations of the linearized problem around the \(n^{th}\) refinement step. The vector of shifts from the \(n^{th}\) to the \(n+1^{th}\) step is given by the linear system (4.69), where A is the design matrix with \(A_{ki} = \partial Y_{k}^{{\rm calc}}/ \partial v_{i}\) and \(\Matrix{N}\) the normal equations matrix \( \Matrix{N} =\Transpose{\Matrix{A}}\Matrix{W}\Matrix{A} \).

(4.69) \[ w_k \left[ \left. Y_k^{\rm{obs}}- Y_k^{\rm{calc}} \right|_n \right] \left. \frac{\partial Y_k^{\rm{calc}} }{\partial v_i} \right|_n = \sum_k w_k \left. \frac{\partial Y_k^{\rm{calc}} } {\partial v_i} \right|_n \left. \frac{\partial Y_k^{\rm{calc}} } {\partial v_j} \right|_n \left[\left. v_j \right|_{n+1} - \left. v_j\right|_{n} \right] \]

or

\[ \Transpose{\Matrix{A}}\Matrix{W} \delta o = \Transpose{\Matrix{A}}\Matrix{W} \Matrix{A} \delta v \]

\( \delta v = \Matrix{N}^{-1}(\Transpose{\Matrix{A}}\Matrix{W} \delta o) \) is then an unbiased estimator of ( \(\Vector{v}_{solution} - \Vector{v}_{n}\) ) whatever weights are chosen. It may be shown that an unbiased estimate of the variance-covariance matrix \(\Matrix{V}_{v} \) of the parameters v is obtained through

(4.70) \[ \Matrix{V}_v = \Matrix{N}^{-1} (\Transpose{\Matrix{A}}\Matrix{W} \Matrix{V}_o \Matrix{W} \Matrix{A} ) \Matrix{N}^{-1} \]

by using an unbiased estimate of the variance-covariance matrix of the observations \(\Matrix{V}_{o} \). Weights \(\Matrix{W} =\Matrix{V}_{o}^{-1} \) i.e. \(w_{k}=1/\sigma^2\) where \(\sigma^2 \) is the variance (not an estimate) of the \(k^{th}\) observation lead to a minimum-variance estimate of v and V \(_{v} \), and a simplified form of (4.70), V \(_{v} \) = N \(^{-1} \), where no extra calculation is necessary to obtain \(\Matrix{V}_{v} \) from \(\Matrix{N}^{-1} \). Following the recommendation of the IUCr Statistical Descriptors Subcommittee (Schwarzenbach et al., 1988), the estimated variance-covariance matrix of the parameters is not scaled by the global goodness-of-fit parameter S,

(4.71) \[ S = \sqrt{\frac{\Delta}{E(\Delta) } } \qquad \rm{with} \qquad E(\Delta) = \Trace(\Matrix{V}_o\Matrix{W}) - \Trace \Matrix{N}^{-1} (\Transpose{\Matrix{A}}\Matrix{W} \Matrix{V}_o \Matrix{W} \Matrix{A} ) \]

.

\(\Matrix{V}_{v}\) is computed on the last cycle. Several types of crystallographic observations can be compared with the model: intensities \(I^{{\rm obs}}\), crystal shape parameters \(d^{{\rm obs}}\) and restraints \(R^{{\rm obs}}\). Intensities are calculated by the formula

(4.72) \[ I_{k}^{\rm obs} \approx I_{k}^{\rm calc} = K_k L_k P_k T_k(\{d\}) y(\{e\}) \sum_i{x_i ( A_i^2 + B_i^2) } \]

where \(K_{k}\) is a scale factor, \(L_{k}\) is the Lorentz factor of the \(k^{th}\) reflection, and \(P_{k}\) its polarization factor. \(T_{k}\) is the transmission factor depending on the crystal shape parameters { d }, y is the Becker & Coppens extinction { e } and \(x_{i}\) is the volume ratio of the \(i^{th}\) twin. The real and imaginary structure factor components are given by

(4.73) \begin{align*} A_i & = \sum_{\rm atoms} m p \sum_s t ( (f+f')\cos \phi_i -f" \sin{\phi_i}) \\ B_i & = \sum_{\rm atoms} m p \sum_s t ( (f+f')\sin \phi_i -f" \cos{\phi_i}) \end{align*}

where the sum over s means over the symmetry-equivalent positions, m is the multiplicity factor and p the population parameter, t is the displacement factor, f is the atom form factor, f' the real part of anomalous dispersion and f" the imaginary part of anomalous dispersion. The angle \(\varphi \) \(_{i} \) is given by \(\varphi \) \(_{i} \) = 2 \(\pi \) ( \(h_{i}\) x + \(k_{i}\) y + \(l_{i}\) z ) where \(h_{i}\) , \(k_{i}\) and \(l_{i}\) are the indices of the reflection ( h k l ) for the \(i^{th}\) twin.

General Parameters

The general parameters detailed in this section can be refined. Apart from the overall displacement factor and the scale factor(s) which are always refined unless an appropriate noref line is inserted, refinement of these parameters must be turned on in the LSLS line, and not via ref lines. Some of these parameters are tested to see if they are physically meaningful. If one parameter takes a non-physical value, the program prints a warning and either (a) stops, or (b) resets the parameter to the closest physical value, or (c) continues, depending on the user's choice.

Scale Factor(s)

The refined scale factor ( skf ) is not the structure scale factor commonly used in Xtal. It places the square of the structure factor on the same scale as the primary observation, such that this latter value remains untouched by any data-reduction procedure during the refinement. When sets of reflections have different scales, they can be refined separately or as a single variable. In the latter case, constraints are automatically inserted so that skf (n) = constant * skf (1).

Crystal Shape Parameters

The distances ( shp ) from an arbitrary origin inside the crystal to faces can be adjusted to optimize crystal shape and transmission factors. The measured values for these parameters are used as restraints,

(4.74) \[ d_k^{\rm obs} - d_k^{\rm calc} = d_k \]

, where \(d_k^{{\rm obs}} \) is the measured value for the \(k^{th}\) distance, \(d_k^{{\rm calc}} \) is the calculated distance, which is identical to the parameter \(d_{k}\).

[Warning] Warning

To fix the origin of the crystal, the distances to 3 non-coplanar faces must be kept invariant. The program does not choose these faces automatically. They should be as mutually perpendicular as possible, and sufficiently large to have well-characterized Miller indices. However, when the invariant faces have been chosen, weights on these observations are automatically set to zero.

To take into account systematic errors due to magnification effect, refined distances can be constrained, or a correlation value between observations can be used. In the latter case, the variance-covariance matrix V \(_{o} \) is no longer diagonal, but the weighting matrix remains diagonal even in the case of 1/ \(esd^{2}\) weights.

Extinction

Becker & Coppens extinction parameters can be applied or refined, either isotropically or anisotropically. Following Zachariasen (1967), one can distinguish two types of secondary extinction. Type I refers to crystals in which the extinction is dominated by the mosaic distribution (described by g ), whereas effective particle size (related to the parameter \(\rho \) ) is the critical parameter describing extinction in type II crystals. For anisotropic extinction, g and \(\rho \) become tensorial quantities as defined according Thornley and Nelmes (1974).

Several extinction refinement options are available: g and \(\rho \) can be refined separately choosing type I or type II respectively. In this case, primary extinction is neglected. g and \(\rho \) can also be refined simultaneously (but only g can be tensorial) allowing primary extinction to be taken into account. Either a Lorentzian or a Gaussian distribution of the mosaic spread g can be selected.

A short summary of used expressions is given below. Full details can be found in Becker & Coppens (1974a, 1974b, 1975) and Zachariasen (1967).

\begin{align*} \Psi & = \frac{g}{\sin{2\theta}} & \text{for type I,} \\ \Psi & = \rho & \text{for type II,} \\

and for general extinction:

\ \Psi & = \frac{g \rho}{1+\rho\sin{2\theta}} & \text{(for a Lorentzian mosaic)} \\ \Psi & = \frac{g \rho}{\sqrt{1+\rho^2\sin^2{2\theta}}} & \text{(for a Gaussian mosaic)} \end{align*}

\[ y_p = \frac{3}{2} \frac{\lambda^4}{V^2} a^2 \qquad {\rm and} \qquad y_s = \frac{\lambda^4}{V^2} a^2 \bar{T} \]

then

\[ x_p = y_p F^2_c \rho^2 \qquad {\rm and} \qquad x_s = y_s F^2_c \Psi^2 \]

and finally:

\[ y=y_p(x_p) y_s(y_p(x_p) x_s) \qquad {\rm with} \qquad y_i(x_i) =\sqrt{1+c_ix_i+\frac{a_ix_i^2}{1+b_ix_i} } \qquad i=p,s \]

The parameters g and \(\rho \) are related respectively to the half-width of the mosaic spread distribution \(\Delta _{1/2}\) expressed in radians and to the size of the mosaic blocks \(r\) expressed in cm by

\[ \Delta_{1/2} =\frac{\sqrt{\ln{2}/2\pi}}{g} \qquad \rm{(Gaussian)} \qquad \Delta_{1/2} =\frac{1}{2\pi g} \qquad \rm{(Lorentzian)} \]

The values of g and \(\rho \) given in the program listing are multiplied by 104.

Twinning parameter(s)

(Pseudo-) merohedral twin laws may be determined automatically and entered onto the bdf by CREDUC for use by LSLS. Twin laws may also be entered directly in LSLS by use of twinop lines. By default one twin law viz. the identity operation is assumed. For centrosymmetric space groups all twin laws are generated by CREDUC or must be entered by way of twinop lines. For non-centrosymmetric space groups, each twin law generated by CREDUC or entered by way of a twinop line corresponds to a pair of twin laws: viz. the one indicated and the one related to it through a center of inversion. The two laws of the inversion-related pair in non-centrosymmetric space groups have serial numbers i and i+n where n is the number twin matrices on the bdf or twinop lines given in LSLS.

Twinning ( twi ) is treated by refining the volume fractions x \(_{i} \) of each twin component and automatically constraining their sum to be 1.0.

For non-centrosymmetric structures, attention has to be paid to two points. Primo, anomalous dispersion should be applied. Secundo, the bdf should be prepared with each reflection and its Friedel opposite in separate packets: sepfrl on the SORTRF line.

The Becker and Coppens extinction theory used in LSLS does not take twinning into account, implying that the coupling constant between the incident and diffracted beams is forced to be symmetric under the lattice-point group symmetry.

The following example illustrates the way to handle twins in the non-centrosymmetric space group P 23. CREDUC generated 2 (pairs of) twin laws:

( 1 0 0)   ( 1 0 0)   (-1 0 0)  
( 0 1 0) for (1) Identity ( 0 1 0) and (3) Centre ( 0 -1 0)  
( 0 0 1)   ( 0 0 1)   ( 0 0 -1)  
           
           
( 0 -1 0)   ( 0 -1 0)   ( 0 1 0)  
(-1 0 0) for (2) 2-fold axis (-1 0 0) and (4) Mirror ( 1 0 0)  
( 0 0 1)   ( 0 0 -1)   ( 0 0 1)  
           

In order to refine only the enantiomorph-polarity parameter in this case starting with a value of 0.5, the following lines are necessary:

twinop       *10 1  0.5  0.5
noref       twi(2)  twi(4)

Dispersion and Neutron-Scattering-Factor Parameters

Assuming that refinement of dispersion parameters has been turned on by rd on the LSLS line, dispersion parameters can be addressed individually by re or im for the real or the imaginary parts, or as a set with dsp .

Neutron scattering factor refinement is achieved by turning on dispersion refinement and keeping imaginary parts invariant.

Overall Displacement Parameter

The overall displacement parameter is automatically refined if at least one atom's displacement parameter type is set to overall. It can be held invariant by using noref uov .

Atomic Parameters

Positional Parameters

Atomic positional parameters are always refined unless the atom is in a special position or they are explicitly constrained. noref <atom> fixes all atomic parameters of the named atom.

Displacement Parameters

The program can be used to refine overall, isotropic or anisotropic displacement parameters. In mixed mode, the displacement-parameter type of an atom is set in accordance to the value on the bdf. However it can be modified by the use of ref and noref lines. After refinement, the mode used is written on the output bdf. If the displacement factor is non-positive definite, the program will either stop ( ts ), or reset it to a positive value ( tr ), or continue with non-physical values ( tp ).

Invariant Parameters

ADDATM generates symmetry constraints for atoms on special positions which are written on logical record lrcons: . See the documentation of ADDATM for details.

A noref line can fix any parameter. The general form of the arguments is:

(p1/p2)(a1/a2) fixes from atomic parameter p1 to atomic parameter p2 of all atoms in list between a1 and a2 inclusive. (p1/p2) can be replaced by p1 if only one parameter is to be fixed, and a1 can replace (a1/a2) if there is only one target atom.

Atomic parameters are : x , y , z , u , u11 , u22 , u33 , u12 , u13 , u23 , pop

a1/a2 fixes all atomic parameters from atom a1 to atom a2. a1/a1 is abbreviated a1.

When an atom name is identical to an atom type name, then a1 and a2 will hold for atom types instead of individual atoms.

g1(n1/n2) fixes general parameters g1, which can be uov , skf , twi , shp , ext , dsp , re or im , from n1 to n2. If only one parameter is kept invariant, n1 can be used for n1/n2.

For dispersion refinement, dsp fixes real and imaginary parts and it is equivalent to ( re / im ).

The syntax of the ref line is identical to that of noref. When mixed displacement mode has been selected on the LSLS line, ref / noref lines can be used to change atomic displacement types. ref U converts the displacement type to isotropic, while ref U11/U23 set the displacement type to anisotropic.

ref       U(N)  (U11/U23)(N2)
ref       U(N1)  U(N3/N6)

These examples show how to set to isotropic the displacement parameter type for all 6 nitrogen atoms, except for atom N2. There is a difference in the resulting displacement parameters values between these two examples. In the first example, all nitrogens are first changed to isotropic, and then the displacement factor of atom N2 is reset to an anisotropic tensor. In the second example, the displacement parameter of atom N2 is not changed at all.

[Warning] Warning

If atom types Y and U appear in the atom type list, atomic parameters y and& u must be lowercase.

Constrained Parameters

As for invariant parameters, symmetry constraints are read from the input bdf logical record lrcons: . Linear constraints between parameters can also by introduced by constr lines :

p = Q + f(1)*r(1) + ... + f(n)*r(n) where :  
p = object (dependent) parameter (same format as ref/noref lines)  
Q = constant term  
f(i) = ith multiplicative term  
r(i) = ith reference (independent) parameter (same format as ref/noref lines).  

The specification of the parameters is the same as in ref / noref lines, but object and reference parameters must be uniquely determined. It should be noted that the constant terms Q and f(i) are mandatory, and blanks are not allowed.

[Warning] Warning

Origin fixing is carried out by shift-limiting restraints, following the algorithm of Flack & Schwarzenbach (1988). Additional constraints should not be used in LSLS in polar space-groups.

The normal-equations matrix is constructed for independent variables only to minimize storage size and inversion time. The constraints modify the derivative vector, which leads to an unconstrained least-squares problem. The dependent parameters \(p^{o} \) contribute to the derivatives vector of the reference parameters \(p^{r} \), which become:

(4.75) \[ \frac{dY}{dp^r} = \frac{\partial Y}{\partial p^r} + \sum_i {\left[\frac{d p_i^o}{dp^r}\frac{\partial Y}{\partial p_i^o}\right]} = \frac{\partial Y}{\partial p^r} + \sum_i {\left[f_i \frac{\partial Y}{\partial p_i^o}\right] } \]

The dependent parameter estimated standard deviation is then given by (4.76):

(4.76) \[ \sigma^2(p^o) = \sum_i{f_i^2 \sigma^2(p_i^r)} + 2 \sum_{i<j}{f_i f_j \rm{cov}(p_i^r,p_j^r) } \]

.

Restraints

Restraints \(\Phi \) are additional stereochemical pseudo-observations used to restrict interatomic geometry. For a discussion of the relations between rigid bodies and restraints, see Didisheim & Schwarzenbach (1987). Distance, bond-angle, dihedral-angle and rigid-bond restraints are provided. If M and M \(^{-1} \) are respectively the direct and reciprocal metric tensors, x \(_{i} \) is the position of atom i expressed in the crystal coordinates, \(\beta _i\) the displacement tensor of atom i expressed in the same basis, \( \Vector{n}_1 =(\Vector{x}_2 - \Vector{x}_1)\Cross (\Vector{x}_3 - \Vector{x}_2)\) , \( \Vector{n}_2 =(\Vector{x}_3 - \Vector{x}_2)\Cross (\Vector{x}_4 - \Vector{x}_3)\) and V the volume of the cell, then restraints are given by (4.77):

(4.77) \begin{align*} \Phi & =\sqrt{ \Transpose{(\Vector{x}_2 -\Vector{x}_1)}\Matrix{M} (\Vector{x}_2 -\Vector{x}_1) } &\text{(distance)}\\ \Phi & =\arccos{\frac{ \Transpose{(\Vector{x}_2 -\Vector{x}_1)}\Matrix{M} (\Vector{x}_3 -\Vector{x}_2) } {\sqrt{\Transpose{(\Vector{x}_2 -\Vector{x}_1)}\Matrix{M} (\Vector{x}_2 -\Vector{x}_1) } \sqrt{\Transpose{(\Vector{x}_3 -\Vector{x}_2)}\Matrix{M} (\Vector{x}_3 -\Vector{x}_2) } } } &\text{(bond angle)} \\ \Phi & =\arccos{\frac{ \Transpose{\Vector{n}_1} \Matrix{M}^{-1} \Vector{n}_2 } { \sqrt{ \Transpose{\Vector{n}_1} \Matrix{M}^{-1} \Vector{n}_1 } \sqrt{ \Transpose{\Vector{n}_2} \Matrix{M}^{-1} \Vector{n}_2 } } } \qquad \text{if } |\cos \Phi| \leq |\sin \Phi| & \text{(dihedral angle)} \\ \Phi & =\arcsin{ V \frac{ \sqrt{\Transpose{(\Vector{x}_3 -\Vector{x}_2)}\Matrix{M} (\Vector{x}_3 -\Vector{x}_2) } \Transpose{\Vector{n}_1} (\Vector{x}_4 -\Vector{x}_3) } { \sqrt{ \Transpose{\Vector{n}_1} \Matrix{M}^{-1} \Vector{n}_1 } \sqrt{ \Transpose{\Vector{n}_2} \Matrix{M}^{-1} \Vector{n}_2 } } } \qquad \text{if } |\cos \Phi| > |\sin \Phi| & \\ \Phi & = \frac { \Transpose{(\Vector{x}_2 -\Vector{x}_1)}\Matrix{M}(\beta_2-\beta_1)\Matrix{M} (\Vector{x}_2 -\Vector{x}_1) } { \Transpose{(\Vector{x}_2 -\Vector{x}_1)}\Matrix{M} (\Vector{x}_2 -\Vector{x}_1) } & \text{(rigid link)} \end{align*}

When the normal-equations matrix is ill-defined, it is possible to force it into a positive-definite form, which is easily invertible. The usual way to do this is to use shift-limiting restraints which increase the diagonal element \(N_{ii}\) of the variable \(v_{i}\) leading to the degeneracy. Two possibilities are available in LSLS: (a) when the weight w of the restraint is greater than 1, the restraint equation adds the quantity \(w(v_{i}^{{\rm obs}}-v_{i}^{{\rm calc}})^{2} \) to the minimized function (4.68), so the diagonal element becomes \(N_{ii}\) + w. This type of shift-limiting restraint may then be viewed as a pseudo-observation whose value is taken to be the variable's value in cycle n, and the restraint imposes that \(v_{i}\) in cycle n+1 should be "close to" its former value. (b) If w is smaller than 1, it is interpreted as a Levenberg-Marquardt parameter (see Press, Flannery, Teukolsky & Vettering (1986)). There is no pseudo-observational justification to this method where the diagonal element is multiplied by a w independent of the \(N_{ii}\) . It should be pointed out that tests to determine the optimal Levenberg-Marquardt parameter are not carried out by LSLS.

Weights

LSLS provides 3 different weighting schemes: the usual minimal variance w = 1/ \(esd^{2}\), unit weights w = 1, or weights read from the bdf (idn 1900 is taken as the square root of the weight on Y ); this latter possibility allows the user to define his/her own weighting scheme. In any case, the goodness of fit and the parameter variance-covariance matrix are computed according to (4.70) and (4.71).

Weights on |F| are computed from weights on the refined quantity Y (either \(|F|^{2} \) or I ) by (4.78) where LPT is set to 1.0 if Y = | F | \(^{2} \). These | F | weights are used in the calculation of the weighted R-factor.

(4.78) \begin{align*} w_{|F|} & = \frac{L P T K} {\sqrt{Y^2 + 1/(2 w)} - Y} \qquad \text{if }I > 0 \qquad \text{and }\\ w_{|F|} & = \sqrt{2 w}L P T K \qquad \text{if }I \leq 0 \end{align*}

Reflection Classification

A reflection can be omitted from the refinement under several conditions: if it is flagged as suffering form extinction (rcode 3), if its weight is 0, if its weighted difference \(w^{1/2}|Y^{{\rm obs}}- Y^{{\rm calc}}\) | is greater than some user defined value, or if \(Y/esd_{Y}\) is less than a user defined threshold. These unused reflections do not contribute to the matrices, Durbin-Watson statistic, and goodness-of-fit. Less-than reflections are those for which \(Y/esd_{Y}\) less than the cutoff value, and those with rcode = 2. In the latter case, the reflections are discarded only if \(Y^{{\rm obs}}\) is greater than or equal to Y \(^{{\rm calc}} \). The status code is never updated by LSLS.

The meaning of the printed status codes is the following: F is for reflections without their Friedel mate, A is for systematically absent reflections. Reflections flagged with these codes are always used in the refinement. E is for a reflection suffering from extinction, L for less-than reflections, i.e. which \(Y/esd_{Y}\) smaller than the threshold, W for reflections with a weight of zero, and R for a rejected reflection for which \(w^{1/2}| Y^{{\rm obs}}-Y^{{\rm calc}}|\) is greater than the cutoff. Reflections marked with these codes are always excluded from the refinement. U is for unobserved reflections; it corresponds to rcode = 2. The asterisk * marks reflections which do not contribute to the matrix.

R-Factors

The unweighted and weighted R-factors are printed by the program. The unweighted R-factor is defined as:

\[ R = \sum_{h}^{M} { \frac { | Y_h^{obs} -Y_h^{cal} | } { Y_h^{obs} } } \]

and the weighted R-factor by:

\[ wR = \sum_{h}^{M} { \frac { w_h | Y_h^{obs} - Y_h^{cal} | } { Y_h^{obs} } } \]

For the 4 R-factors printed by the program:

(1) marked "Of contributing reflections" is calculated with R, Y = |F| and M = NREF.

(2) marked "Of weighted contributing reflections" is calculated with wR, Y = |F| and M = NREF.

(3) marked "Of Observations" is calculated with R; for refinement on |F| \(^{2} \), Y = |F| \(^{2} \) ; for refinement on I, Y = I; and M = NOBS.

(4) marked "Of Weighted Observations" is calculated with wR; for refinement on |F| \(^{2} \), Y = |F| \(^{2} \) ; for refinement on I, Y = I; and M = NOBS.

File Assignments

  • Reads parameter- and observation- information from the input archive bdf

  • Writes refined parameters on output archive bdf

  • Optionally writes variance-covariance matrix to file cmx

  • Optionally writes parameters to file pch

Examples

title       Gd3Ru4Al12
compid       gra
CIFENT cifin
STARTX       upd
sgname       -P 6C 2C
REFCAL       neti inst 1 excl
LSABS
ADDATM
extinc       typ1 is gaus 0.005
atom       Al1   0.1622  0.3244  0.5763  0.008
atom       Gd    0.1928  0.3856  0.25    0.007
atom       Ru1   0.5     0       0       0.007
atom       Al3   0.3333  0.6667  0.0119  0.008
atom       Al4   0       0       0.25    0.008
atom       Ru2   0       0       0       0.007
atom       Al2   0.5637  0.1274  0.25    0.008   0.95
atom       Ru3   0.5637  0.1274  0.25    0.008   0.05
LSLS       cy 5 ad ax pp tr rs sm
noref       shp(1)  shp(3)  shp(5)
noref       pop
ref       pop(Ru3)  pop(Al2)
constr       x(Ru3)=0.0+1.0*x(Al2)
constr       u(Ru3)=0.0+1.0*u(Al2)
constr       pop(Ru3)=1.0-1.0*pop(Al2)
REGFE       sr 1 nan tab
finish

To refine the crystal shape, the absorption program LSABS is run just after the conversion from raw data to net intensities. No averaging is done, and the refinement is made on all intensities. 3 faces are kept invariant. Ru3 and Al2 are constrained to the same position, and the same displacement parameter. The stereochemical disorder of these atoms is taken into account constraining the total population of the site to be equal to 1. The variance-covariance matrix is saved to be used in the calculation of distances by REGFE .

compid       coanp
CIFENT       cifin
STARTX       upd
latice       n p
symtry       x,y,z
symtry       -x,y,1/2+z
symtry       -x,1/2+y,-z
symtry       x,1/2+y,1/2-z
NEWCEL
transf       0 0 1  1 0 0  0 1 0
CREDUC
REFCAL       excl fsqr ffac
SORTRF       ord lkh aver 1 sepfrl f2rl
ADDATM
Atomic parameters omitted here for brevity
LSLS       cy 1 f2 cs 3.0
noref       C N O H
LSLS       cy 5 f2 cs 3.0 rp ep
FOURR
MAPLST
finish

In this example, the space group is changed by NEWCEL , then twins are searched ( CREDUC ), the data are converted to | F | \(^{2} \) and averaged in separate packet for Friedel pairs. The scale factor is refined alone for one cycle, and then all structural parameters are refined, including enantiomorph (absolute structure) parameter. When the initial value of the scale factor is far from the real one, it can be useful to refine the scale factor alone in a first refinement step.

References

  • Becker, P.J. & Coppens, P. (1974). Acta Cryst. A30, 129-147.

  • Becker, P.J. & Coppens, P. (1974). Acta Cryst. A30, 148-153.

  • Becker, P.J. & Coppens, P. (1975). Acta Cryst. A31, 417-425.

  • Bernardinelli, G. & Flack, H.D. (1985). Acta Cryst. A41, 500-511.

  • Didisheim, J.-J. & Schwarzenbach, D. (1987). Acta Cryst. A43, 226-232.

  • Flack, H.D. (1983). Acta Cryst. A39, 876-881.

  • Flack, H.D. & Schwarzenbach, D. (1988). Acta Cryst. A44, 499-506.

  • Press, W.H., Flannery, B.P., Teukolsky, S.A. & Vetterling, W.T. (1986). Numerical Recipes. Cambridge University Press. Cambridge.

  • Thornley, F.R. & Nelmes, R.J. (1974). Acta Cryst. A30, 748-757.

  • Schwarzenbach, D. et al. (1989). Acta Cryst. A45, 63-75.

  • Zachariasen, W.H. (1967). Acta Cryst. 23, 558-564.

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