TL;DR
RECAST is a framework that enhances the utility of existing experimental searches for new physics by enabling their results to be reinterpreted across a broader range of models, maximizing scientific impact.
Contribution
The paper introduces RECAST, a novel framework that systematically facilitates the recasting of existing analyses to explore additional theoretical models.
Findings
RECAST successfully reinterprets multiple existing searches.
The framework addresses key issues and subtleties in recasting.
It broadens the applicability of experimental results to new physics models.
Abstract
Searches for new physics by experimental collaborations represent a significant investment in time and resources. Often these searches are sensitive to a broader class of models than they were originally designed to test. We aim to extend the impact of existing searches through a technique we call 'recasting'. After considering several examples, which illustrate the issues and subtleties involved, we present RECAST, a framework designed to facilitate the usage of this technique.
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