July 29, 2019 to August 2, 2019
Northeastern University
US/Eastern timezone

Extending RECAST for truth-level analysis reinterpretations

Jul 30, 2019, 3:00 PM
Shillman 425 (Northeastern University)

Shillman 425

Northeastern University

Oral Presentation Computing, Analysis Tools, & Data Handling Computing, Analysis Tools, & Data Handling


Alexander Joseph Schuy (University of Washington (US))


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.

Primary author

Alexander Joseph Schuy (University of Washington (US))


Lukas Alexander Heinrich (CERN) Kyle Stuart Cranmer (New York University (US)) Shih-Chieh Hsu (University of Washington Seattle (US))

Presentation materials