FlexCAST preserves the design of a scientific analysis as a reusable functional, enabling reinterpretation with changed input data and parameters, demonstrated on a machine-learning anomaly detection analysis.
RECAST framework reinterpretation of an ATLAS Dark Matter Search constraining a model of a dark Higgs boson decaying to two b-quarks
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FlexCAST: Enabling Flexible Scientific Data Analyses
FlexCAST preserves the design of a scientific analysis as a reusable functional, enabling reinterpretation with changed input data and parameters, demonstrated on a machine-learning anomaly detection analysis.