Constructing sensitive and robust collider observables with machine learning

Abstract: I will discuss some concluded and ongoing work on constructing, using machine learning, sensitive low-dimensional variables for use in collider data analyses. I will also briefly discuss the robustness offered by the technique against unknown and unquantified errors in the simulation models.

HEP - phenomenologyHEP - theorymathematical physics

Audience: researchers in the topic

NHETC Seminar

Series comments: Description: Weekly research seminar of the NHETC at Rutgers University

Livestream link is available on the webpage.