Physics Analysis Expert PAX: First Applications
M. Erdmann, D. Hirschbuehl, C. Jung, S. Kappler, Y. Kemp, M. Kirsch,, D. Miksat, C. Piasecki, G. Quast, K. Rabbertz, P. Schemitz, A. Schmidt, T., Walter, and C. Weiser (University Karlsruhe)

TL;DR
PAX is a C++ toolkit that enhances particle physics data analysis by providing event interpretation containers, supporting both experts and newcomers in preparing for future collider data challenges.
Contribution
Introduces PAX, a novel C++ toolkit with event interpretation containers that improve data analysis flexibility and accessibility for particle physics research.
Findings
Supports complex event interpretation workflows
Facilitates collaboration among analysis teams
Adapts to future collider data analysis needs
Abstract
PAX (Physics Analysis Expert) is a novel, C++ based toolkit designed to assist teams in particle physics data analysis issues. The core of PAX are event interpretation containers, holding relevant information about and possible interpretations of a physics event. Providing this new level of abstraction beyond the results of the detector reconstruction programs, PAX facilitates the buildup and use of modern analysis factories. Class structure and user command syntax of PAX are set up to support expert teams as well as newcomers in preparing for the challenges expected to arise in the data analysis at future hadron colliders.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications
