arXiv · 1901.07185
Algorithm for distance list extraction from pair distribution functions
Abstract
We present an algorithm to extract the distance list from atomic pair distribution functions (PDFs) in a highly automated way. The algorithm is constructed via curve fitting based on a Debye scattering equation model. Due to the non-convex nature of the resulting optimization problem, a number of techniques are developed to overcome various computational difficulties. A key ingredient is a new approach to obtain a reasonable initial guess based on the theoretical properties of the mathematical model. Tests on various nanostructured samples show the effectiveness of the initial guess and the accuracy and overall good performance of the extraction algorithm. This approach could be extended to any spectrum that is approximated as a sum of Gaussian functions.
Explore related subjects
Keep this discovery
Ran Gu, Soham Banerjee, Qiang Du, Simon J. L. Billinge. 2019-01-22. Algorithm for distance list extraction from pair distribution functions. https://doi.org/10.1107/s2053273319008647
Cite the original work for its findings. Save a collection to share your selection of sources.