• to get the notebooks: git clone https://github.com/andreatramacere/Geneva_HighEnergy_Course

OR if you don't have git installed on your machine

• download from here

You can access/download the slides directly here

We will work with version 1.2.2 of JetSeT. The binaries are distributed only for linux and MacOS(X86 architecture),

• If you have a Mac with ARM architecture (M1/2/3), and your system is not able to install the X86 version, please contact me, either opening an issue on this repository, or by emailing me I will assist you to install from source, or to install the binaries of version 1.3.0. In case, I can set up a Zoom call to guide you during the installation.

• For Windows users, please install WSL: https://learn.microsoft.com/en-us/windows/wsl/install

• In case of impossibility to run the code on your laptop, you can run the notebooks on a remote binder server (see next section)

you can run all the notebooks locally on your laptop (Method 1) or on a remote server (Method 2)

• Method 1) Run the notebooks on your laptop:

  The easiest solution is to create a conda environment

  • install anaconda from: https://www.anaconda.com/download/

    OR

  • it will work also with mamba if you prefer: https://mamba.readthedocs.io/en/latest/index.html, just replace conda with mamba in the following steps

  • create the virtual environment: conda create --name jetset python=3.9 ipython jupyter

  • activate the environment: conda activate jetset

  • install the code conda install -c andreatramacere -c astropy -c conda-forge 'jetset>=1.2'

  • run the notebooks using jupyter-notebook or any IDE (e.g. VScode) with a jupyter notebook plugin

• Method 2) Run the notebooks on binder (remote server):

  • run the notebooks using this link

The JetSeT documentation is here: https://jetset.readthedocs.io/en/stable/index.html

• keep updated on the FB page https://www.facebook.com/jetsetastro/
• subscribe to the git repository: https://github.com/andreatramacere/jetset