2022/03/16 by K. Lannon, Lannon, Kevin, Paul Brenner +13
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #Distributed and Parallel Computing Systems #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
paper · pdf · doi:10.48550/arxiv.2203.08811
openalex publication_date 2022/03/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Analysis cyberinfrastructure refers to the combination of software and computer hardware used to support late-stage data analysis in High Energy Physics (HEP). For the purposes of this white paper, late-stage data analysis refers specifically to the step of transforming the most reduced common data format produced by a given experimental collaboration (for example, nanoAOD for the CMS experiment) into histograms. In this white paper, we reflect on observations gathered from a recent experience with data analysis using a recent, python-based analysis framework, and extrapolate these experiences though the High-Luminosity LHC era as way of highlighting potential R&D topics in analysis cyberinfrastructure.