# Demonstrating interactive, large-scale High Energy Physics data analysis workflows in distributed computing environments

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2024
- Speaker: Andrea Maria Ola Mejicanos
- Year: 2024
- Language: English
- Subjects: Mathematics, Physics, Computer science, Earth and environment
- Source: [CERN](https://videos.cern.ch/record/3013648)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

ROOT's modern analysis interface, RDataFrame, is designed to meet the high computing demands of the forthcoming High-Luminosity LHC (HL-LHC). In this project, the essential aspects of the LHC physics analyses workflows are showcased by the RDataFrame implementation of the Analysis Grand Challenge executed within a distributed computing environment at CERN. We investigate the robustness and scalability of modern HEP data analysis workflows as well as the processing capabilities in the distributed computing environments necessary for future LHC physics experiments. A first exploration of the recently released CMS open data is also foreseen as part of the project \[1\]. \[1\] The CMS Collaboration (2024) CMS releases 13 TeV proton collision data from 2016. Available at: https://opendata.cern.ch/docs/cms-releases-2016data-2024 (Accessed: 24 July 2024).

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## Lectures

1. [Demonstrating interactive, large-scale High Energy Physics data analysis workflows in distributed computing environments](https://invisiblenetwork.ai/learn/cern/3013648/c22eafb9ca0c), 9 min (CERN's player)