Abstract:MEED (maximum‐entropy electron density) is a program package to calculate the electron‐density distribution from a set of structure‐factor data by the maximum‐entropy method. MEED is an upgraded version of the original maximum‐entropy program, MEMTARO, which was used in the first study to use the maximum‐entropy method (MEM) on silicon [Sakata & Sato (1990). Acta Cryst. A46, 263–270]. MEED is applicable to any space group and can cope with both single‐crystal and powder X‐ray diffraction data, whereas MEMTARO … Show more
“…In order to see the influence of the completeness in the data set on the MEM density, we reanalysed the complete set up to 664 as listed in Table 1 with the computer program MEED (Kumazawa, Kubota, Takata, Sakata & Ishibashi, 1993). The number of pixels used is 120 x 120 x 120.…”
Section: The Influence Of the Incomplete Data Setmentioning
The charge densities derived with the maximum-entropy method (MEM) may be influenced to some extent by the completeness of the data set. In order to examine the effects of the incompleteness, structure-factor data of Si measured by the PendellOsung method [Saka & Kato (1986). Acta Cryst. A42, 469-478] were re-analysed by the MEM. This data set is incomplete: it contains all space-group-allowed reflections with sin 0/2 = 0.86i -I, and in addition 844 and 880 with sin0/2 = 1.04,~, -1. Results of a MEM analysis of the complete subset of data are compared with those from the full but incomplete set published previously [Sakata & Sato (1990). Acta Cryst. A46, 263-270]. The smaller but complete set was found to give a smooth charge-density distribution that is consistent with previous theoretical work. It is found that the sharp peak maximum at the bond midpoint reported previously is exaggerated owing to the highest-order reflection 880. The completeness of the data set appears to be one of the key factors for obtaining reliable charge densities with MEM. The incompleteness of the data set may cause non-physical fine features of the MEM density distribution.
“…In order to see the influence of the completeness in the data set on the MEM density, we reanalysed the complete set up to 664 as listed in Table 1 with the computer program MEED (Kumazawa, Kubota, Takata, Sakata & Ishibashi, 1993). The number of pixels used is 120 x 120 x 120.…”
Section: The Influence Of the Incomplete Data Setmentioning
The charge densities derived with the maximum-entropy method (MEM) may be influenced to some extent by the completeness of the data set. In order to examine the effects of the incompleteness, structure-factor data of Si measured by the PendellOsung method [Saka & Kato (1986). Acta Cryst. A42, 469-478] were re-analysed by the MEM. This data set is incomplete: it contains all space-group-allowed reflections with sin 0/2 = 0.86i -I, and in addition 844 and 880 with sin0/2 = 1.04,~, -1. Results of a MEM analysis of the complete subset of data are compared with those from the full but incomplete set published previously [Sakata & Sato (1990). Acta Cryst. A46, 263-270]. The smaller but complete set was found to give a smooth charge-density distribution that is consistent with previous theoretical work. It is found that the sharp peak maximum at the bond midpoint reported previously is exaggerated owing to the highest-order reflection 880. The completeness of the data set appears to be one of the key factors for obtaining reliable charge densities with MEM. The incompleteness of the data set may cause non-physical fine features of the MEM density distribution.
“…However, F obs (Rietveld)'s are doubly biased toward structure factors, F(h j ), calculated from structural parameters refined in the Rietveld analysis because both phases and calculated profiles used for the intensity partitioning of overlapped reflections are derived from the structural model (McCusker et al, 1999). Though overlapped reflections may be grouped together (Kumazawa et al, 1993), MEM analysis from powder diffraction data still suffers from the partial loss of structural information because of the overlap of reflections, which is marked in compounds with lower symmetry and in powder diffraction data of relatively low resolution.…”
A computer program, Dysnomia, for the maximum-entropy method (MEM) has been tested for the evaluation and advancement of MEM-based pattern fitting (MPF). Dysnomia is a successor to PRIMA, which was the only program integrated with RIETAN-FP for MPF. Two types of MEM algorithms, i.e., 0th-order single-pixel approximation and a variant of the Cambridge algorithm, were implemented in Dysnomia in combination with a linear combination of the "generalized F constraints" and arbitrary weighting factors for them. Dysnomia excels PRIMA in computation speed, memory efficiency, and scalability owing to parallel processing and automatic switching of discrete Fourier transform and fast Fourier transform depending on sizes of grids and observed reflections. These features of Dysnomia were evaluated for MPF analyses from X-ray powder diffraction data of three different types of compounds: taurine, Cu 2 CO 3 (OH) 2 (malachite), and Sr 9 In(PO 4 ) 7 . Reliability indices in MPF analyses proved to have been improved by using multiple F constraints and weighting factors based on lattice-plane spacings, d, in comparison with those obtained with PRIMA.
“…We adopt another method; the maximum entropy method is superior, because no a priory assumption has been made on charge distribution. [17] The electron charge is determined by maximum entropy method at 353K, as given in Fig. 4.…”
In order to understand the relation between the transition mechanism and the thermal vibration, the temperature dependence of the Debye-Waller factor is investigated in NaNO 2 by single-crystal X-ray diffractometry. The crystal parameters are refined by least squares calculations both in paraelectric and ferroelectric phases. The maximum entropy method is also employed to estimate the spontaneous polarization. The Debye-Waller factor displays a minor anomaly at the order-disorder transition point. The result is compared with K 2 SeO 4 , a typical displacive crystal.
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