Batch fitting benchmark -- powder electron diffraction ====================================================== Outline ######## The aim of the benchmark is to fit a 3D dataset of fluence and time-dependent diffraction patterns from polycrystalline platinum (:math:`\mathrm{Pt}`) [1,2]. Each diffraction pattern is a 1D intensity profile composed of more than 10 diffraction peaks. 1. ``04_Pt_Ediff.py`` (`link `_) Contains a full script with the option to run on the command line for batch fitting the powder electron diffraction data of polycrystalline :math:`\mathrm{Pt}`. References ########## | [1] D. Zahn, H. Seiler, Y. W. Windsor, R. Ernstorfer, Ultrafast lattice dynamics and electron-phonon coupling in platinum extracted with a global fitting approach for time-resolved polycrystalline diffraction data, arXiv:`2012.10428 `_. | [2] R. P. Xian, R. Ernstorfer, P. M. Pelz, Scalable multicomponent spectral analysis for high-throughput data annotation, arXiv:`2102.05604 `_. |