% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Wang:838087, author = {Wang, Z. C. and Zhong, X. Y. and Jin, L. and Chen, X. F. and Moritomo, Y. and Mayer, J.}, title = {{E}ffects of dynamic diffraction conditions on magnetic parameter determination in a double perovskite {S}r$_{2}$ {F}e{M}o{O}$_{6}$ using electron energy-loss magnetic chiral dichroism}, journal = {Ultramicroscopy}, volume = {176}, issn = {0304-3991}, address = {Amsterdam}, publisher = {Elsevier Science}, reportid = {FZJ-2017-100010}, pages = {212-217}, year = {2017}, abstract = {Electron energy-loss magnetic chiral dichroism (EMCD) spectroscopy, which is similar to the well-established X-ray magnetic circular dichroism spectroscopy (XMCD), can determine the quantitative magnetic parameters of materials with high spatial resolution. One of the major obstacles in quantitative analysis using the EMCD technique is the relatively poor signal-to-noise ratio (SNR), compared to XMCD. Here, in the example of a double perovskite Sr$_{2}$ FeMoO$_{6}$, we predicted the optimal dynamical diffraction conditions such as sample thickness, crystallographic orientation and detection aperture position by theoretical simulations. By using the optimized conditions, we showed that the SNR of experimental EMCD spectra can be significantly improved and the error of quantitative magnetic parameter determined by EMCD technique can be remarkably lowered. Our results demonstrate that, with enhanced SNR, the EMCD technique can be a unique tool to understand the structure-property relationship of magnetic materials particularly in the high-density magnetic recording and spintronic devices by quantitatively determining magnetic structure and properties at the nanometer scale.}, cin = {ER-C-1}, ddc = {570}, cid = {I:(DE-Juel1)ER-C-1-20170209}, pnm = {143 - Controlling Configuration-Based Phenomena (POF3-143)}, pid = {G:(DE-HGF)POF3-143}, typ = {PUB:(DE-HGF)16}, UT = {WOS:000403992200028}, doi = {10.1016/j.ultramic.2016.12.024}, url = {https://juser.fz-juelich.de/record/838087}, }