Analysis Cyberinfrastructure: Challenges and Opportunities

Kevin Lannon; Paul Brenner; Mike Hildreth; Kenyi Hurtado Anampa; Alan Malta Rodrigues; Kelci Mohrman; Doug Thain; Benjamin Tovar

Analysis Cyberinfrastructure: Challenges and Opportunities

Data Analysis, Statistics and Probability 2022-03-18 v1 High Energy Physics - Experiment

Authors: Kevin Lannon , Paul Brenner , Mike Hildreth , Kenyi Hurtado Anampa , Alan Malta Rodrigues , Kelci Mohrman , Doug Thain , Benjamin Tovar

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Abstract

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.

Keywords

computational physics software virtual observatory scientific software and data analysis tools

Cite

@article{arxiv.2203.08811,
  title  = {Analysis Cyberinfrastructure: Challenges and Opportunities},
  author = {Kevin Lannon and Paul Brenner and Mike Hildreth and Kenyi Hurtado Anampa and Alan Malta Rodrigues and Kelci Mohrman and Doug Thain and Benjamin Tovar},
  journal= {arXiv preprint arXiv:2203.08811},
  year   = {2022}
}

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contribution to Snowmass 2021

Analysis Cyberinfrastructure: Challenges and Opportunities

Abstract

Keywords

Cite

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