Returning CP-observables to the frames they belong
Optimal kinematic observables are often defined in specific frames and then approximated at the reconstruction level. We show how multi-dimensional unfolding methods allow us to reconstruct these observables in their proper rest frame and in a probabilistically faithful way. We illustrate our approa...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2 July 2024
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| In: |
SciPost physics
Year: 2024, Jahrgang: 17, Heft: 1, Pages: 1-26 |
| ISSN: | 2542-4653 |
| DOI: | 10.21468/SciPostPhys.17.1.001 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.21468/SciPostPhys.17.1.001 Verlag, lizenzpflichtig, Volltext: https://scipost.org/10.21468/SciPostPhys.17.1.001 
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| Verfasserangaben: | Jona Ackerschott, Rahool Kumar Barman, Dorival Gonçalves, Theo Heimel and Tilman Plehn |
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| 520 | |a Optimal kinematic observables are often defined in specific frames and then approximated at the reconstruction level. We show how multi-dimensional unfolding methods allow us to reconstruct these observables in their proper rest frame and in a probabilistically faithful way. We illustrate our approach with a measurement of a CP-phase in the top Yukawa coupling. Our method makes use of key advantages of generative unfolding, but as a constructed observable it fits into standard LHC analysis frameworks. | ||
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