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

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...

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Detalles Bibliográficos
Autores principales: Pivarski, Jim, Rodrigues, Eduardo, Pedro, Kevin, Shadura, Oksana, Krikler, Benjamin, Stewart, Graeme A.
Lenguaje:eng
Publicado: 2022
Materias:
hep-ex
Particle Physics - Experiment
physics.data-an
Other Fields of Physics
Acceso en línea:http://cds.cern.ch/record/2801188
Descripción
Sumario: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.

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