A new CuKα2-elimination algorithm

Abstract

This paper presents a new algorithm to remove the CuKα2profile in X-ray powder diffraction patterns. Previous algorithms for α2elimination can be divided into two categories. The first category assumes the shape identity of the α1and α2components. The second category uses parameters by fitting experimental data. The first category is not accurate and the second one is instrument-dependent. The algorithm presented here uses the CuKα emission profile obtained from monolithic double-crystal measurements. Therefore, it is more accurate and less instrument-dependent than the previous methods. This algorithm has been tested and applied in software for diffraction data processing. The present method can be extended to removeKα2lines of other radiations.