📄️ Using the PHYSLITE Format
The research data is available in the PHYSLITE format, which is user-friendly and ready for analysis. This notebook demonstrates how to utilize ATLAS Open Data in PHYSLITE format using uproot and awkward arrays for a basic physics analysis. Specifically, it shows how to reconstruct the hadronically decaying top quark from semi-leptonic $t\bar$ events.
📄️ Using the Open Event Generation Data
The event generation open data is available in the HEPMC2 format, which is a text-based event generator record. Each file of around 10,000 events is compressed to save disk space. The notebook provides a brief introduction to reading the events and making use of them in a variety of ways.
📄️ Getting Started with Containers for Analysis
Welcome to our tutorial on setting up containers for analysis! This guide will help you get started quickly and easily.
📄️ Phoenix for Event Visualisation
Visualizing an event inside the detector opens a path to a deeper understanding of the physical processes resulting from a collision. One commonly used tool for event visualisation is Phoenix, a framework that allows 3D visualisation of collision events inside the detector.
📄️ Exploring Public Likelihoods
This page provides a brief introduction to the statistical methods used within ATLAS.
📄️ Community Contributions
Here we gather various projects and analyses created using our open data for research. We believe in the power of collaboration and the insights that can emerge from diverse perspectives. If you've used our open data for something cool, we would love to hear about it! Please share your work with us through the contact us form. Your contributions can inspire others and help to show the potential of open data.
📄️ ATLAS Open Data Derivation Framework
Welcome to the ATLAS Open Data Derivation Tool! Physlitetoopendata is a C++ framework devoted to skimming the PHYSLITE files used for research to create flat ROOT NTuples used for educational purposes.