Using unfolded top-quark decay data we can measure the top quark mass, as well as search for unexpected kinematic effects. We present a new generative unfolding method for the two tasks and show how they both benefit from unbinned, high-dimensional unfolding. Unlike weight-based or iterative generative methods we include a targeted unbiasing with respect to the training data. This shows significant advantages over standard, iterative methods, in terms of applicability, flexibility and accuracy.
Favaro, L., & et al. (2025). How to unfold top decays. SciPost Physics Core, 8. https://doi.org/10.21468/SciPostPhysCore.8.3.053 (Original work published 2025)