Characterizing ferromagnetic domains in ring structures using in-situ magnetic Fresnel imaging

This deposit contains supplementary datasets and data processing scripts used in a Specialization Project by Rajith Aravinth at the Norwegian University of Science and Technology (NTNU). <strong>Dataset</strong>: 2021_03_26_FA721_A6.5_in_situ_stack.hspy Sample FA721, window W1, ring A6.5um, objective lens 0768.<br> Tilting range [-2.0, 2.0] deg. in X and [-2.0, 2.0] deg. in Y, step size 1.0 deg. <strong>Python files:</strong><br> processing.py utils.py p001_make_hyperspy.py Running processing.py produces the domains and areas as numpy files, that can be used for visualisation and quantifications.<br> Looping through the whole dataset takes quite some time, hence the results are also to be found in the .npy files. # Numpy files<br> areas.npy domains.npy <strong>Notebook:</strong> Jupyter_notebook.ipynb<br> More detail overlook of the algorithm, with visualizations and result本数据集包含挪威科技大学（Norwegian University of Science and Technology, NTNU）Rajith Aravinth所完成的专项项目中使用的补充数据集与数据处理脚本。<strong>数据集</strong>：2021_03_26_FA721_A6.5_in_situ_stack.hspy，对应样本FA721、窗口W1、环尺寸A6.5μm，物镜型号0768。<br>倾斜范围：X轴[-2.0, 2.0]度，Y轴[-2.0, 2.0]度，步长1.0度。<strong>Python脚本文件</strong>：<br>processing.py、utils.py、p001_make_hyperspy.py。运行processing.py可生成可用于可视化与量化分析的NumPy格式域与区域文件。由于遍历完整数据集耗时较长，配套的.npy格式文件中已预存处理结果。# NumPy格式文件：areas.npy、domains.npy<br><strong>Jupyter Notebook</strong>：Jupyter_notebook.ipynb，内含算法的详细概述、可视化内容与最终结果。