The Czech Particle Physics Project

TL;DR

The Czech Particle Physics Project develops educational modules and databases to teach high school students about particle physics topics like ALPs, Higgs boson, and Supersymmetry, utilizing AI for content categorization.

Contribution

It introduces a comprehensive educational platform with modules, databases, and AI tools for particle physics education targeted at high school students.

Findings

Successful implementation of educational modules.

Creation of automatically updated research databases.

Use of AI for categorizing scientific articles.

Abstract

We present the status of the Czech Particle Physics Project (CPPP). The CPPP is a learning tool in masterclasses aimed at high school students (aged 15 to 18). The project is structured in modules. The first module is dedicated to the detection of an Axion-Like-Particle (ALP) using the ATLAS Forward Proton (AFP) detector. The second module focuses on the reconstruction of the Higgs boson mass using the Higgs boson golden channel with four leptons in the final state. The third and fourth modules are educational aids and sources for expert information. These web portals are dedicated to Higgs boson research and searches for Supersymmetry. Two databases are created with more than 1000 relevant articles each, using the CERN Document Server API and web scraping methods. The databases are automatically updated when new results on Higgs bosons or searches for Supersymmetric particles become available. Using artificial intelligence and natural language processing, the articles are categorized according to properties of the results. The modules are accessible at https://cern.ch/cppp.