TL;DR
FLARE is an open source workflow orchestration tool designed for FCC analysis, automating data processing stages and managing Monte Carlo workflows within the Key4HEP software stack.
Contribution
It introduces FLARE, a new extensible tool that automates and orchestrates FCC analysis workflows using b2luigi, supporting various MC generators and analysis stages.
Findings
Successfully automates FCC data workflows
Supports multiple MC generators within Key4HEP
Provides a feature-rich, extensible environment
Abstract
FLARE is an open source data workflow orchestration tool designed for the FCC Analysis software and Key4HEP stack. Powered by b2luigi, FLARE automates and orchestrates the fccanalysis stages from start to finish. Furthermore, FLARE is capable of managing the Monte Carlo (MC) data workflow using generators inside the Key4HEP stack such as Whizard, MadGraph5 aMC@NLO, Pythia8 and Delphes. In this paper the FLARE v0.1.4 package will be explored along with its extensible capabilities and a feature rich work environment. Examples of FLARE will be discussed in a variety of use-cases, all of which can be found at https://github.com/CamCoop1/FLARE-examples. The open source repository of FLARE can be found at https://github.com/CamCoop1/FLARE
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