CELEBI: Towards Reproducible and FAIR Physics Analysis
Abstract
Modern physics analyses evolve continuously as datasets, selections, parameters, software environments, and analysis strategies are updated. Over the lifetime of an analysis, this evolution can make it difficult to determine the conditions under which an earlier result was produced or to transfer the analysis reliably between collaborators. We present Celebi, an analysis-management framework that maintains a persistent connection between evolving analysis materials and their generated results. Celebi organizes reusable algorithms, tasks, and their dependencies into a structured workflow, preserves selected states as immutable impressions, and associates retained results with the states responsible for their production. This organization supports analysis modification, systematic variations, collaboration, and review while the working analysis continues to evolve. Celebi supports controlled rerunning of preserved analysis states. When results remain retained, they can be inspected and compared together with their corresponding states. By capturing provenance during everyday analysis development, Celebi reduces the need to reconstruct analysis history retrospectively and provides a practical foundation for more transparent and reusable physics analysis.
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BibTeX
@misc{zhao2026celebi,
title = {{CELEBI: Towards Reproducible and FAIR Physics Analysis}},
author = {Mingrui Zhao},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.01804},
eprint = {2611.01804},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.01804},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - CELEBI: Towards Reproducible and FAIR Physics Analysis
AU - Mingrui Zhao
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.01804
UR - https://arxiv.org/abs/2611.01804
AB - Modern physics analyses evolve continuously as datasets, selections, parameters, software environments, and analysis strategies are updated. Over the lifetime of an analysis, this evolution can make it difficult to determine the conditions under which an earlier result was produced or to transfer the analysis reliably between collaborators. We present Celebi, an analysis-management framework that maintains a persistent connection between evolving analysis materials and their generated results. Celebi organizes reusable algorithms, tasks, and their dependencies into a structured workflow, preserves selected states as immutable impressions, and associates retained results with the states responsible for their production. This organization supports analysis modification, systematic variations, collaboration, and review while the working analysis continues to evolve. Celebi supports controlled rerunning of preserved analysis states. When results remain retained, they can be inspected and compared together with their corresponding states. By capturing provenance during everyday analysis development, Celebi reduces the need to reconstruct analysis history retrospectively and provides a practical foundation for more transparent and reusable physics analysis.
ER -