FunRootAna: A Functional Framework for ROOT Analysis

FunRootAna is a framework designed to enhance the ROOT analysis experience by providing a functional approach to data analysis. Inspired by Apache Spark, Scala and built with a focus on usage simplicity, FunRootAna streamlines the creation and filling of histograms, enabling complex operations to be performed with minimal amount of code. This article introduces the core concepts and features of FunRootAna, with examples illustrating its application in ROOT Trees, CSV files, and object-oriented data.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701333/pdf
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

FunRootAna: A Functional Framework for ROOT Analysis

Tomasz Bold
Springer Link (Chiba Institute of Technology)
Software System Performance and Reliability
article

FunRootAna: A Functional Framework for ROOT Analysis

Tomasz Bold
article en

Abstract

FunRootAna is a framework designed to enhance the ROOT analysis experience by providing a functional approach to data analysis. Inspired by Apache Spark, Scala and built with a focus on usage simplicity, FunRootAna streamlines the creation and filling of histograms, enabling complex operations to be performed with minimal amount of code. This article introduces the core concepts and features of FunRootAna, with examples illustrating its application in ROOT Trees, CSV files, and object-oriented data.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 27%
Software System Performance and Reliability
DOISourceOpenAlex
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FunRootAna: A Functional Framework for ROOT Analysis — Tomasz Bold · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS