Scaling accurately for reference crystal - calibration?Ĭhange the scale by 1% and see what happens Relative distances are accurately described text ( spots_simulation, spots_simulation, str ( tags_simulation ), fontsize = 8, horizontalalignment = 'center', verticalalignment = 'bottom' ) plt. log2 ( 1 + diff_pattern )) * 0.5 ) for i in range ( len ( tags_simulation )): if np. log2 ( 1 + diff_pattern ), cmap = "gray", extent = extent, vmin = np. scatter ( spots_ZOLZ, spots_ZOLZ, c = 'red', alpha = 0.2, label = 'simulation' ) plt. scatter ( spots_experiment, spots_experiment, c = 'blue', alpha = 0.5, label = 'experiment' ) plt. dot ( tags_simulation, r_mat ) spots_ZOLZ = spots_simulation ] fig = plt. array (,]) rmat_g = r_mat spots_experiment = ( Bragg_spots - ( center, center )) * ( gx, gy ) spots_simulation = np. shape - center ) * gy, - center * gy ]) angle = np. Plotting Experimental and Simulated Spot Diffraction Patterns # PyTEMlib's "kinematic_scattering" finishedĢ.9.8. There are 0 forbidden but dynamical activated diffraction spots:Ĭalculating Kikuchi lines for zone: Length of zone axis vector in real space 5.431 nm There are 0 allowed reflections in the other higher order Laue Zones There are 0 allowed reflections in the second order Laue Zone There are 20 allowed reflections in the first order Laue Zone There are 36 allowed reflections in the zero order Laue Zone Of the 348 possible reflection 56 are allowed. Of the 29790 tested reciprocal_unit_cell points, 348 have an excitation error less than 0.04 1/nm Tilting 1 by 0.00 in alpha and 0.00 in beta direction results in :Ĭenter of Ewald sphere Rotation alpha 0.0 degree, beta 0.0 degree Magnitude of incident wave vector in material: 39.9 1/A which is a wavelength 2.508 pm The convergence angle of 0.0mrad = 0.00 1/A Which is an wave length of 2.508 pm in the material and 2.508 pm in the vacuum Magnitude of incident wave vector in material: 39.8771 1/Ang and in vacuum: 39.8735 1/Ang HW6: Analyzing CBED Pattern in Two Beam Condition Chemical Composition in Core-Loss Spectraĥ.6. Introduction to Core-Loss SpectroscopyĤ.5. Analysing Low-Loss Spectra with Drude TheoryĤ.4. Introduction to Electron Energy-Loss SpectroscopyĤ.3. Defocus-Thickness Map with Multislice AlgorithmĤ.1. Linear Image Approximation: Weak Phase Objectģ.5. Unic Cell Determination and Stereographic Projectionģ.4. Open DM3 Images, Spectra, Spectrum-Images and Image-Stacks with pyNSIDĢ.10. Introduction to Python as it is used in this lectureġ.3.
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