Table of Contents
Texture, Stress, and Microstructure
Volume 2009, Article ID 237485, 10 pages
Research Article

Using Individual Spectra Simulation for the Study of Pole Figures Errors

1Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna 141980, Moscow Reg., Russia
2Laboratoire d'Etudes des Textures et Application aux Matériaux (LETAM; CNRS FRE 3143), Ile du Saulcy, University Paul Verlaine-Metz, 57045 Metz, Cedex 01, France

Received 4 August 2008; Revised 20 November 2008; Accepted 26 March 2009

Academic Editor: Paul Houtte

Copyright © 2009 T. A. Lychagina et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Crystallographic texture is described by pole figures. In this paper, we continue to study experimental pole figure errors. In other words it can be named pole figure measurement errors. These errors are connected with the experimental procedure and do not depend on any further computations. In our previous works it was shown that the qualitative behaviour of pole figure measurement errors is similar to peak width determination errors. To check this conclusion a set of diffraction spectra were measured for Mg + 4.5%Al + 1%Zn sample on the spectrometer for quantitative texture analysis (SKAT) at FLNP, JINR, Dubna. Then we simulated the individual spectra and used these spectra for the pole figure extraction and the pole figure error determination. Such simulation enabled to confirm conclusions concerning the main role of the peak width determination error in the pole figure error. Additionally, we simulated individual spectra using model pole figures and extracted pole figures and pole figures errors from those spectra. For this case we also confirmed the same qualitative behaviour of pole figure measurement errors and peak width determination errors. The model pole figures were calculated on the basis of normal distributions.