How to unfold top decays
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.
Authors
- Tilman Plehn (ORCID: https://orcid.org/0000-0001-5660-7790)
- Luigi Favaro (ORCID: https://orcid.org/0000-0003-2421-7100)
- A. Paasch (ORCID: https://orcid.org/0000-0002-2208-5178)
- D. Schwarz (ORCID: https://orcid.org/0000-0002-3821-7331)
- R. Kogler (ORCID: https://orcid.org/0000-0002-5336-4399)
- Sofia Palacios Schweitzer
Institutions
- Austrian Academy of Sciences (AT)
- Universität Hamburg (DE)
- Heidelberg University (DE)
- Deutsches Elektronen-Synchrotron DESY (DE)
- UCLouvain (BE)
Publication Details
- Journal
- SciPost Physics Core
- Published
- 2025-08-18
- DOI
- https://doi.org/10.21468/scipostphyscore.8.3.053
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00