Speaker
Jovin Drews
(Universität Hamburg)
Description
In the absence of direct evidence for new physics in targeted searches, model-independent strategies are becoming increasingly important. In this talk, we present recent results of model-agnostic searches that are facilitated by advanced machine learning techniques, opening a new avenue for unbiased detection of potential new physics signals.
Author
Jovin Drews
(Universität Hamburg)