Speaker
Alexander Joseph Schuy
(University of Washington (US))
Description
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. To illustrate this new functionality, RECAST is used to perform a search for a generic scalar dark mediator model via t-channel production.
Author
Alexander Joseph Schuy
(University of Washington (US))
Co-authors
Lukas Alexander Heinrich
(CERN)
Kyle Stuart Cranmer
(New York University (US))
Shih-Chieh Hsu
(University of Washington Seattle (US))