Speaker
Ilya Segal
(Ruhr-Universitaet Bochum (DE))
Description
During the Winter Semester of 2024, our LHCb group in Ruhr-University Bochum developed and taught the Data Analysis course for students. The main objective of the course is the introduction to statistical modeling, likelihood studies, confidence interval construction, fitting techniques, and machine learning methods such as decision trees and boosting. The course materials are rearranged into a Julia package and available on GitHub. It provides structured tools for statistical analysis with Julia. We will present examples of utilizing the developed package for physics analyses in LHCb and reflect on Julia ecosystem readiness for adoption by HEP community and growing generation of particle physicists.
Authors
Dhruvanshu Mahesh Parmar
(Ruhr-Universitaet Bochum (DE))
Ilya Segal
(Ruhr-Universitaet Bochum (DE))
Marian Stahl
(Ruhr-Universitaet Bochum (DE))
Prof.
Mikhail Mikhasenko
(Ruhr Univeristy Bochum)
Robert Hentges
(Ruhr-Universitaet Bochum (DE))
