Title:        Prof. Dr.
First Name:   Alejandro
Last Name:    Rodriguez-Navarro
Sex:          male
Affiliation:  Universidad de Granada
Adress:       Dpto. Mineralogía y Petrología, 
Campus de Fuentenueva
City:         Granada
Postal Code:  E-18002
Country:      SPAIN
Phone:        +34 958240059
Email:        anava@ugr.es
Abstract:     XRD2DSCAN A NEW SOFTWARE FOR THE AUTOMATIC ANALYSIS OF 2D DIFFRACTION PATTERNS OF POLYCRYSTALLINE MATERIALS

Alejandro B. Rodriguez-Navarro , Dpto. Mineralogía y Petrología, Universidad de Granada, 18002 Granada, SPAIN, anava@ugr.es


	Two-dimensional (2D) diffraction patterns collected with an X-ray area detector, available in modern X-ray single-crystal diffractometer, contain much more information than conventional linear scans (i.e., θ-2θ scan), collected using standard X-ray powder diffractometers equipped with a point detector. For instance, depending on sample characteristics, Debye-Scherrer rings displayed in the 2D pattern might be continuous or spotty and display specific variation in the intensities along them. These features proportionate important information about the microstructure of the sample: grain size, preferential orientation, crystallinity, mosaicity, stress, etc. In addition, area detectors collect the whole diffraction pattern at once reducing considerably the data acquisition time. XRD2DScan is a Windows software designed for displaying and analyzing two-dimensional (2D) X-ray diffraction patterns collected with a diffractometer equipped with an area detector. This software allows users to take full advantage of this type of diffractometers but that can not readily process the information of diffraction patterns from polycrystalline materials. XRD2DScan has many capabilities for generating different types of scans (2Theta scan, Psi scan, d-spacing versus Psi angle, pole figures) which allows users to extract the maximum information from 2D patterns. Analyses of multiple data files can be fully automatized using batch processing, allowing very quickly and easily the extraction of a wealth of information regarding sample mineral phases and microstructural characteristics from an unlimited number of samples. The use of the software as applied to polycrystalline sample characterization is here illustrated through several examples.

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