HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation
Lothar Bauerdick, Riccardo Maria Bianchi, Brian Bockelman, Nuno, Castro, Kyle Cranmer, Peter Elmer, Robert Gardner, Maria Girone, Oliver, Gutsche, Benedikt Hegner, Jos\'e M. Hern\'andez, Bodhitha Jayatilaka, David, Lange, Mark S. Neubauer, Daniel S. Katz, Lukasz Kreczko

TL;DR
This white paper discusses the challenges and future directions for data analysis systems in high energy physics, emphasizing interactivity, reproducibility, and efficiency to maximize scientific discovery.
Contribution
It provides a comprehensive assessment of current challenges and proposes a roadmap for advancing HEP data analysis and interpretation over the next decade.
Findings
Identifies key challenges in HEP data analysis
Recommends strategies for improving analysis systems
Outlines a roadmap for future development
Abstract
At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Distributed and Parallel Computing Systems · Particle Detector Development and Performance
