School and Conference on Analysis of Diffraction Data in Real Space

The ADD2022 Conference aims to deepen the understanding and to further the training of the various communities working on real-space data analysis for neutron and x-ray diffraction techniques. Fourier transformation of diffraction data into real-space, traditionally used for the structural determination of liquids and glasses, is now increasingly employed for partially-disordered crystalline powder samples, as well as for single-crystal samples exhibiting some local atomic disorder, and most recently for short-range spin-spin correlations in disordered or frustrated magnetic systems (in the case of neutron diffraction).