Speaker
Sofia Palacios Schweitzer
(ITP, Heidelberg University)
Description
Unfolded data can be used to measure the top mass, but also to search for unexpected kinematic correlations in top decay events. We show how generative unfolding can be used for both tasks and how the results benefit from the unbinned, high-dimensional unfolding. Our method includes an unbiasing step with respect to the top mass used during training data and promises significant advantages over standard methods,
in terms of flexibility and precision.
Primary authors
Alexander Paasch
Dennis Schwarz
(Austrian Academy of Sciences)
Luigi Favaro
(ITP - University of Heidelberg)
Roman Kogler
(DESY)
Sofia Palacios Schweitzer
(ITP, Heidelberg University)
Tilman Plehn
