HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis

Jim Pivarski; Eduardo Rodrigues; Kevin Pedro; Oksana Shadura; Benjamin Krikler; Graeme A. Stewart

HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis

Data Analysis, Statistics and Probability 2022-02-09 v1 High Energy Physics - Experiment

Authors: Jim Pivarski , Eduardo Rodrigues , Kevin Pedro , Oksana Shadura , Benjamin Krikler , Graeme A. Stewart

Abstract

This paper was prepared by the HEP Software Foundation (HSF) PyHEP Working Group as input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which took place in November, 2021. It describes the adoption of Python and data science tools in HEP, discusses the likelihood of future scenarios, and recommendations for action by the HEP community.

Keywords

scientific software and data analysis tools computational physics software

Cite

@article{arxiv.2202.02194,
  title  = {HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis},
  author = {Jim Pivarski and Eduardo Rodrigues and Kevin Pedro and Oksana Shadura and Benjamin Krikler and Graeme A. Stewart},
  journal= {arXiv preprint arXiv:2202.02194},
  year   = {2022}
}

Comments

25 pages, 7 figures; presented at https://indico.cern.ch/event/1058274/ (LHCC Review of HL-LHC Computing)

HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis

Abstract

Keywords

Cite

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