PreprintCC BY-NC-SA 4.0arXiv
FLARE: an open-source data workflow orchestration tool
Abstract
Flare is an open-source Python-based data workflow orchestration tool powered by b2luigi. It automates the workflow of Monte Carlo (MC) generators inside the Key4HEP stack, such as Whizard, MadGraph5 and Pythia8, together with fast detector simulation using Delphes. It also automates the Future Circular Collider (FCC) physics analysis software workflow. These workflows are combined, giving a user an automated pipeline from MC production to final FCCAnalyses histograms. With its customisation options and Python API, Flare simplifies executing FCC-ee analyses, especially when custom MC events are required.
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BibTeX
@misc{harris2026flare,
title = {{FLARE: an open-source data workflow orchestration tool}},
author = {Cameron Cooper Harris and Aman Desai and Paul Jackson},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.19809},
eprint = {2609.19809},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.19809},
note = {CC BY-NC-SA 4.0},
}
RIS
TY - UNPB
TI - FLARE: an open-source data workflow orchestration tool
AU - Cameron Cooper Harris
AU - Aman Desai
AU - Paul Jackson
PY - 2026
DA - 2026/09/17
PB - arXiv
DO - 10.48550/arxiv.2609.19809
UR - https://arxiv.org/abs/2609.19809
AB - Flare is an open-source Python-based data workflow orchestration tool powered by b2luigi. It automates the workflow of Monte Carlo (MC) generators inside the Key4HEP stack, such as Whizard, MadGraph5 and Pythia8, together with fast detector simulation using Delphes. It also automates the Future Circular Collider (FCC) physics analysis software workflow. These workflows are combined, giving a user an automated pipeline from MC production to final FCCAnalyses histograms. With its customisation options and Python API, Flare simplifies executing FCC-ee analyses, especially when custom MC events are required.
ER -