Welcome to the exercises for the "Data Analysis in HEP" lecture! 👋

In these exercises you will work through the statistical aspects of a typical data analysis in high energy physics. You will be equipped with a unique data set that resembles real data taken with the LHCb experiment.

During the course, you will develop a code base for this analysis in Julia starting from scratch.

Before getting started with the exercises, you will need to follow the setup steps to prepare the software environment on your machine.

Lecture Material

Code for the notebooks showcased at the lectures can be found in the lectures/ folder, see lectures/README.md for overview. The github link can be used for the path link in Pluto starting page.

Exercises and Tutorials

The exercise sheets are distributed on Wednesday of the tutorial, and due on Sunday 1.5 weeks later. Solution of the problems and the code should be sent to [email protected] (link to a code, pdf of a notebook).

• Sheet-01, published on 9/10/2024, due on 20/10/2024, discussed at the Tutorial-02
• Sheet-02, published on 25/10/2024, due on 3/11/2024, discussed at the Tutorial-03
• Sheet-03, published on 11/11/2024, due on 17/11/2024,
• Sheet-04
• Sheet-05
• Sheet-06
• Sheet-07

Reference DataAnalysisWS2425

The project is a valid julia Julia module, that is being developed along with the course. It provides essential tools and examples for statistical data analysis and fitting, designed to support and complement the lecture materials. Many lecture notebooks start with a dependency cell that includes,

let
    using Pkg
    Pkg.activate(joinpath(@__DIR__, ".."))
    Pkg.instantiate()
end

referring to the functionality implemented in the module. Read more about environments.

Students' repository have a similar structure, with the exercises and tutorials focused on the homework. Participants of the course are encouraged to review and build upon the implementation here to strengthen their grasp of Data Analysis.

Technical notes

Pre-commit

This repository uses pre-commit to check the code and text. To run the checks locally,

pre-commit run -a

License

This project is licensed under the MIT License.