Extending RECAST for Truth-Level Reinterpretations

TL;DR

This paper extends the RECAST framework to truth-level reinterpretations, enabling faster exploration of theoretical models by interfacing with systems like RIVET, reducing reliance on computationally expensive full simulations.

Contribution

The extension allows RECAST to perform truth-level reinterpretations, integrating with existing tools for rapid model testing without full simulation.

Findings

Enables faster reinterpretations at truth level

Interfaces with RIVET for improved efficiency

Reduces computational costs of model testing

Abstract

RECAST is an analysis reinterpretation framework; since analyses are often sensitive to a range of models, RECAST can be used to constrain the plethora of theoretical models without the significant investment required for a new analysis. However, experiment-specific full simulation is still computationally expensive. Thus, to facilitate rapid exploration, RECAST has been extended to truth-level reinterpretations, interfacing with existing systems such as RIVET.