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Streams of event weights in particle-level Monte Carlo event generators are aconvenient and immensely CPU-efficient approach to express systematicuncertainties in phenomenology calculations, providing systematic variations onthe nominal prediction within a single event sample. But the lack of a commonstandard for labelling these variation streams across different tools hasproven to be a major limitation for event-processing tools and analysers alike.Here we propose a well-defined, extensible community standard for the naming,ordering, and interpretation of weight streams that will serve as the basis forsemantically correct parsing and combination of such variations in boththeoretical and experimental studies.

A standard convention for particle-level Monte Carlo event-variation weights