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

Extending RECAST for truth-level analysis reinterpretations

30 Jul 2019, 15:00
20m
Shillman 425 (Northeastern University)

Shillman 425

Northeastern University

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

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.

Primary 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))

Presentation materials