17–27 Sept 2024
University residence (ERSU), Casa del Goliardo
Europe/Rome timezone

Hands-on lectures

Hands-on Km3NeT data

Install ROOT CERN version 6.x.x (https://root.cern/install/all_releases/

 

Useful material at the following link

https://drive.google.com/drive/folders/1_DnPLPiSeuD6j5NO-6P8aPSgVa0tZ25v?usp=share_link

 

Hands-on Auger data

 

Auger Open Data: https://opendata.auger.org/

Link drive folder:

https://drive.google.com/drive/folders/16fFezivDclvNEfKLQMaFYBFjQjIPz1De?usp=drive_link

which contains:

4 data zipped folders;

a python notebook to read Auger json files;

some Auger papers. It is not necessary you read them before the hands-on, but they can be a

reference if you want to explore something further;

“requirements.txt”

During the hands-on, you can use Jupyter (https://jupyter.org/) or Google Colab:

1. It is preferable to use Jupyter locally on your computer.
Install on your laptop python if you don’t have, a jupyter notebook and the requirements listed in “requirements.txt” (command: “pip install astropy healpy ipython ipywidgets matplotlib numpy pandas scipy”).
Use the notebook (plot_json_local.ipynb) contained in the drive folder to check that everything is working properly. Data folder required to test: “selectedData_SD1500.zip”.

2. If you decide to use Google Colab, you need a Google account and you have to create a folder in your Drive containing the zipped data folders.

Remember to download all the data folders to your laptop or to create your own drive folder.

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If you have to install Python:

Anaconda (https://www.anaconda.com/) is not mandatory but it can be useful.
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.

Linux:

sudo apt-get install python3 sudo apt-get install python-pip sudo apt-get install idle3

sudo apt install python3-pip (this is necessary to install packages and libraries)

Windows and MacOS:

Download the installer (https://www.python.org/downloads/release/python-374/) and execute it. During the installation, it is recommended to check the box "Add Python 3.7 to PATH" (you will be prompted to do this at some point during the installation).

Hands-on gamma-ray data

The notebooks for this tutorial are available at:
 
 
Follow the instructions in the README regarding installation of software and download of data.