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OMNIBUS is a new, revised, extended and re®ned version of the DATPROC9 program [Gaødecka (1999). J. Appl. Cryst. 32, 827±832]. The basic aim of the program is to process the step-scan-measured Bragg re¯ections recorded on a single-crystal diffractometer to obtain a nameFhkl collection of intensities for crystal structure determination. The task may be realised by OMNIBUS with various methods, from simple ones to more sophisticated ones, based on the learnt-pro®le idea. Another aim that may be realised with the program is the inspection of intensity plots of the measured pro®les and, for the data modelling methods, their models. The novelty of the program, in relation to its former version, lies in a new`symmetric' pro®le modelling method, the use of a common background model, the possibility of optimization of the width of the pro®le range, a wider selection of options for the calculations [available to the user in the program menu(s)] and the compatibility of the program with data from various single-crystal diffractometers (KM4-Kuma Diffraction, P3 of Siemens, CAD, Nicolet and Stoe). Special attention is paid to the data modelling, which may be observed on the screen during the calculations and analysed afterwards, based on special report ®les, which can for some users be treated as a task in itself. Profile refinement methodsAs in the previous version of the program, the user of OMNIBUS is given a wide selection of data re®nement methods. These may be divided into simple methods, based on the`background±peak±back-ground' (B±P±B) procedure, and multi-stage data modelling methods, depending on the approximation of measurement data with learnt pro®les' of different kinds. In the simple methods one may use a given constant pro®le range or the range optimized using the Lehmann & Larsen (1974) The aim of pro®le and background modelling is to increase the precision and accuracy of the net-intensity determination. The principle of the learnt-pro®le methods is that the pro®le model, derived from the strongest and most precise re¯ections, is used for approximation of all the diffraction pro®les. Among the data modelling methods, there are those which were used in the DATPROC9 program, i.e. (v) the basic learnt-pro®le method, (vi) the simple learnt-pro®le method, and (vii) the convolution-model method, along with a newly introduced method, (viii) the symmetric learnt-pro®le method, based on the idea of symmetrization of the measured pro®les and their models (Diamond, 1969).The ®rst three methods of this group, (v), (vi) and (vii), have already been described in detail by the author (Gaødecka, 1996(Gaødecka, , 1999; the last one, (viii), is very similar to the simple learnt-pro®le method, the only difference being the symmetrization of the pro®les, mentioned above, as a preliminary step in the calculations.It should be noted that all the learnt-pro®le methods, (v), (vi), (vii) and (viii), need a great number of measured diffraction pro®les, of the order of one thousand, and it would be dif®cult to build a model based on...
OMNIBUS is a new, revised, extended and re®ned version of the DATPROC9 program [Gaødecka (1999). J. Appl. Cryst. 32, 827±832]. The basic aim of the program is to process the step-scan-measured Bragg re¯ections recorded on a single-crystal diffractometer to obtain a nameFhkl collection of intensities for crystal structure determination. The task may be realised by OMNIBUS with various methods, from simple ones to more sophisticated ones, based on the learnt-pro®le idea. Another aim that may be realised with the program is the inspection of intensity plots of the measured pro®les and, for the data modelling methods, their models. The novelty of the program, in relation to its former version, lies in a new`symmetric' pro®le modelling method, the use of a common background model, the possibility of optimization of the width of the pro®le range, a wider selection of options for the calculations [available to the user in the program menu(s)] and the compatibility of the program with data from various single-crystal diffractometers (KM4-Kuma Diffraction, P3 of Siemens, CAD, Nicolet and Stoe). Special attention is paid to the data modelling, which may be observed on the screen during the calculations and analysed afterwards, based on special report ®les, which can for some users be treated as a task in itself. Profile refinement methodsAs in the previous version of the program, the user of OMNIBUS is given a wide selection of data re®nement methods. These may be divided into simple methods, based on the`background±peak±back-ground' (B±P±B) procedure, and multi-stage data modelling methods, depending on the approximation of measurement data with learnt pro®les' of different kinds. In the simple methods one may use a given constant pro®le range or the range optimized using the Lehmann & Larsen (1974) The aim of pro®le and background modelling is to increase the precision and accuracy of the net-intensity determination. The principle of the learnt-pro®le methods is that the pro®le model, derived from the strongest and most precise re¯ections, is used for approximation of all the diffraction pro®les. Among the data modelling methods, there are those which were used in the DATPROC9 program, i.e. (v) the basic learnt-pro®le method, (vi) the simple learnt-pro®le method, and (vii) the convolution-model method, along with a newly introduced method, (viii) the symmetric learnt-pro®le method, based on the idea of symmetrization of the measured pro®les and their models (Diamond, 1969).The ®rst three methods of this group, (v), (vi) and (vii), have already been described in detail by the author (Gaødecka, 1996(Gaødecka, , 1999; the last one, (viii), is very similar to the simple learnt-pro®le method, the only difference being the symmetrization of the pro®les, mentioned above, as a preliminary step in the calculations.It should be noted that all the learnt-pro®le methods, (v), (vi), (vii) and (viii), need a great number of measured diffraction pro®les, of the order of one thousand, and it would be dif®cult to build a model based on...
The main aim realised by the DATPROC9 program is to process the data recorded on a KM4 diffractometer (Kuma Diffraction) to obtain a name.hkl collection of intensities for a crystal-structure determination, using a version of the new extension of the learnt-pro®le method, selected from among the following:`basic learnt pro®le',`simple learnt pro®le' and convolution model'. The model function to be used for approximation of the data at the ®nal stage of calculations is derived during preliminary stages. The basic shape function(s) used in the selected method is (are) displayed on the screen, and some details of modelling and notes on the ef®ciency of the data processing are given in special text ®les produced at every stage. One can also view on screen intensity plots of the measured pro®les and their models. One may also process the data with`no pro®le ®tting', or using a simpler data-re®nement method (`simple smoothing').
The wavelength dispersion delta lambda/lambda in a graphite (002) monochromated Mo K alpha beam was analyzed. A wavelength window was found with 0.68 < lambda < 0.79 A, i.e. delta lambda/lambda = 0.14. The very large dispersion leads to systematic errors in Iobserved(H) caused by scan-angle-induced spectral truncation. A limit on the scan angle during data collection is unavoidable, in order that an omega/2 theta measurement should not encompass neighboring reflections. The systematic intensity errors increase with the Bragg angle. Therefore they influence the refined X-ray structure by adding a truncational component to the temperature factor: B(X-ray) = B(true) + B(truncation). For an Mo tube at 50 kV, we find B(truncation) = 0.05 A2, whereas a value of 0.22 A2 applies to the same tube but operated at 25 kV. The values of B(truncation) are temperature independent. The model bias was verified via a series of experimental data collections on spherical crystals of nickel sulfate hexahydrate and ammonium hydrogen tartrate. Monochromatic reference structures were obtained via a synchrotron experiment and via a 'balanced' tube experiment.
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