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Disentangling instrumental broadening
Author(s) -
Cervellino Antonio,
Giannini Cinzia,
Guagliardi Antonietta,
Ladisa Massimo
Publication year - 2005
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s0021889805017206
Subject(s) - deconvolution , powder diffraction , deblurring , robustness (evolution) , diffraction , wavelet , materials science , optics , computer science , analytical chemistry (journal) , algorithm , artificial intelligence , chemistry , image processing , physics , crystallography , chromatography , image (mathematics) , image restoration , biochemistry , gene
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.