Coffea -- Columnar Object Framework For Effective Analysis Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2008.12712
The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility of analysis. It is implemented with the Python programming language, the scientific python package ecosystem, and commodity big data technologies. To achieve this suite of improvements across many use cases, coffea takes a factorized approach, separating the analysis implementation and data delivery scheme. All analysis operations are implemented using the NumPy or awkward-array packages which are wrapped to yield user code whose purpose is quickly intuited. Various data delivery schemes are wrapped into a common front-end which accepts user inputs and code, and returns user defined outputs. We will discuss our experience in implementing analysis of CMS data using the coffea framework along with a discussion of the user experience and future directions.
Related Topics
- Type
- article
- Language
- en
- https://www.epj-conferences.org/10.1051/epjconf/202024506012/pdf
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4287684231Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2008.12712Digital Object Identifier
- Title
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Coffea -- Columnar Object Framework For Effective AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-08-28Full publication date if available
- Authors
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N. Smith, L. Gray, M. Cremonesi, B. Jayatilaka, O. Gutsche, Allison Hall, D. S. Lemos, Manuel Acosta, J. D. Ruiz Alvarez, Belforte, Stefano, J. PivarskiList of authors in order
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https://www.epj-conferences.org/10.1051/epjconf/202024506012/pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.epj-conferences.org/10.1051/epjconf/202024506012/pdfDirect OA link when available
- Concepts
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Computer science, Object (grammar), Coffea arabica, Artificial intelligence, Botany, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| publication_date | 2020-08-28 |
| publication_year | 2020 |
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