Can You Hear the Shape of a Jet?

Aug 15, 2022, 5:00 PM
15m
Auditorium VMP8 (University of Hamburg)

Auditorium VMP8

University of Hamburg

Von-Melle-Park 8 20146 Hamburg Germany
Presentation ML

Speaker

Rikab Gambhir (MIT)

Description

The identification of interesting substructures within jets is an important tool to search for new physics and probe the Standard Model. In this paper, we present \textsc{SHAPER}, a general framework for defining computing shape-based observables, which generalizes the $N$-jettiness from point clusters to any extended shape. This is accomplished by minimizing the $p$-Wasserstein metric between events and parameterized manifolds of energy flows representing idealized shapes, implemented using the dual-potential Sinkhorn approximation for efficient minimization. We show how the geometric language of observables as manifolds can be used to easily define novel event and jet-substructure observables with built-in IRC safety that are useful for physics analyses. We then demonstrate the \textsc{SHAPER} framework by performing an example jet substructure analysis using these new shape-based observables.

Primary author

Rikab Gambhir (MIT)

Co-authors

Akshunna Dogra (Imperial College London) Prof. Jesse Thaler (MIT) Prof. Demba Ba (Harvard)

Presentation materials