Comparison of different historical magnetographs to illustrate the data-space of the super-resolution challenge on FDL 2019.

Requirements:

• Python 3.7+ installation.
• Astropy package.
• SunPy package.

You can find instructions for anaconda installation here:

• Anaconda Windows installation instructions.
• Anaconda Mac-OS installation instructions.
• Anaconda Linux installation instructions.

1. Start a terminal. You can find instructions for opening terminals here:

• Open the Command Prompt program in Windows.
• Start a temrminal in Mac-OS.

2. Run the following commands. They will update your python environment and install astropy and sunpy.

conda config --add channels conda-forge
conda install sunpy

Click on the Clone or download button and clone it to a repository or download it as a zip file.

If you want help cloning the repository and don't know how to do it let me know. Otherwise, simply download the files and unpack them on a folder in your computer.

1. Open a terminal (see above).

2. Navigate to the folder where you unzipped the repository. Here are some quick tutorials to use the terminal:

• Using the terminal in Windows
• Using the terminal in Mac-OS/Linux

3. Run the following command:

jupyter notebook --NotebookApp.iopub_data_rate_limit=10000000000

The jupyter notebook command is normally sufficient, but the visualizations I'm including have a data rate limit to high for the defaults. There is a way of fixing this permanently, but you need to mess up with configuration files. More here:

• Creating a configuration for jupyter
• Common Jupyter directories and file locations

4. Open the notebook. Launching jupyter should open the dashboard in your folder. Something that looks like this:

Click on the notebook you want to open.

5. Run all cells or the cells you want. For more information about running cells please see:

• Running Jupyter Code

More information about the Jupyter notebook can be found here:

• Jupyter notebook documentation