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Software . 2017
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TDataFrame: functional chains for ROOT data analyses

Authors: Guiraud, Enrico; Naumann, Axel; Piparo, Danilo;

TDataFrame: functional chains for ROOT data analyses

Abstract

TDataFrame is a simple and yet powerful way to perform ROOT data analyses.\nIt provides great flexibility in the actions that can be performed inside the event-loop, while letting users express them in a concise declarative syntax that fully encourages usage of modern C++. Transparent access to multi-thread parallelism makes TDataFrame a viable option for quick data explorations, as well as an expressive and high-level tool for more complex analyses. v1.0 comes with a satisfying first set of features, a user guide, Doxygen docs for the user interface and many ideas for future enhancements. A comprehensive suite of tests augmented by static analysis scans guarantees the robustness and stability of the software.

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Keywords

ROOT, data analysis, declarative programming, C++

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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7
Top 10%
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135
1