micromagnetic-standard-problem-ferromagnetic-resonance | Ferromagnetic standard problem supplement

Depending on your interest and expertise, you can use this repository in different ways:. The remainder of this document describes the structure of this repository and gives a brief overview of its contents. Then we explain in more details the different ways in which you may want to use it.
Download or browse the data files underlying the main figures 2-5 in the paper.
Re-produce figures 2-5 from our pre-computed reference data (no micromagnetic software needed): make reproduce-figures-from-oommf-reference-data
Run our micromagnetic simulation scripts to recompute the raw data files (OOMMF required): make recompute-oommf-data Then compare the recomputed data with our reference data (to verify that you obtain the same results on your computer): make compare-data
Produce figures 2-5 from the freshly computed micromagnetic simulation data from the previous step. This is useful to verify that you get the same output plots on your machine. make reproduce-figures-from-oommf-recomputed-data
If you have run the standard problem proposed in the paper with your own micromagnetic software, you can use our plotting code to visualise and compare the results. (Advanced.)
These instructions assume that you are on some kind of Linux/Unix system. While the code should certainly work on Windows, we have not tested this and some of the instructions below may need tweaking. Also, unfortunately we do not currently provide a conda package for OOMMF so that you need to install OOMMF yourself (see instructions on the OOMMF homepage). If you use Windows and find any missing steps then feel free to contact us, or even better submit a pull request (PR) for this repository. The easiest way of installing all the prerequisites is using the package manager conda. The conda installer allows you to create dedicated Python environments very easily (similar to Python's virtualenv, but in a much cleaner and more powerful way). It also allows to install non-Python packages and thus provides an easy way of making OOMMF available. Since conda does not touch your system installation at all and installs everything in a local directory (in a subfolder of your home directory by default), you can even use conda temporarily to test this repository. Afterwards you can delete the conda installation folder again, which will bring your system back into the original state. Use the following steps to install conda and create a conda environment containing all required dependencies. (If you do not want to use conda then you will need to install these manually or via the package manager of your operating system.). Either choice is fine. The installation works by simply downloading the installer from one of the links above and running it. The installer will not touch your system but install everything into a local folder (for example, ~/miniconda3 in your home directory). If you wish to get rid of your conda installation, simply delete this folder. Note that the exact path may depend on whether you installed Miniconda or the full Anaconda distribution, so if you add this manually then make sure it points to the correct location of your installation (conda will print this information at the end of the installation procedure). conda env create --name fmr-stdproblem -f environment.yml.
Install conda. There are two options for this:
Install the full Anaconda Python distribution. This is almost 300 MB in size but comes bundled with a lot of Python packages useful for scientific computing.
Install Miniconda. This is much smaller (ca. 30 MB) because it only makes the conda command available and leaves the installation of additional packages to you.
Make sure that your ~/.bashrc file contains a line similar to the following. The conda installer will typically offer to add this for you automatically.
To activate the conda installation, run