Disentangling instrumental broadening

被引:4
|
作者
Cervellino, A
Giannini, C
Guagliardi, A
Ladisa, M
机构
[1] CNR, Ist Cristallog, I-70126 Bari, Italy
[2] Paul Scherrer Inst, CH-5232 Villigen, Switzerland
[3] Swiss Fed Inst Technol, CH-5232 Villigen, Switzerland
来源
关键词
D O I
10.1107/S0021889805017206
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A new procedure aimed at disentangling the instrumental profile broadening and the relevant X-ray powder diffraction (XRPD) profile shape is presented. The technique consists of three steps: de-noising by means of wavelet transforms, background suppression by morphological functions and deblurring by a Lucy-Richardson damped deconvolution algorithm. Real XRPD intensity profiles of ceria samples are used to test the performance. Results show the robustness of the method and its capability of efficiently disentangling the instrumental broadening affecting the measurement of the intrinsic physical line profile. These features make the whole procedure an interesting and user-friendly tool for the pre-processing of XRPD data.
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页码:685 / 687
页数:3
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