Tutorials Using MJOLNIR

The following is a list of tutorials split into different categories with various complexity.

For first time users and people wanting to simply convert and plot data, the following tutorials is the place to start if one is not using the MJOLNIRGui

After an initial plotting, more advanced cuts/plots can be made:

A full data analysis tutorial has been made for the MnF2 compound:

Tools Tutorials

In MJOLNIR a handful of tools have been created, some of which have specific tutorials

Command Line Tutorials

Despite the full usability and customizability of using a scripting interface to the visualization software, during an experiment or in order to quickly get an overview of data one is more interested in just inspecting the data using a standardized set of plotting parameters. It could also be that Python is not a language the user masters and thus a command line interface might be easier when simple visualization is needed.

In any case, the following tutorials seek to introduce and explain the possibilities of using the command line scripts to quickly plot different parts of the data. However, running the scripts from the command line is operation system dependent. That is, if you are running either Linux or Mac, chances are that you can simply run:

MJOLNIRScriptFile *args

where the shebang-command in the top of the scripting file is run on linux or Mac.

When installing the MJOLNIR package through PiP it is sought for that the relevant script files are place in the correct position for the OS. All of the scripts starts with the prefix MJOLNIR in order to avoid any conflict with already available command line calls.

Below is an overview of currently implemented scripts and their arguments.

Download Tutorial Notebooks