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...

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Hauptverfasser: Ackerschott, Jona (VerfasserIn) , Barman, Rahool Kumar (VerfasserIn) , Gonçalves, Dorival (VerfasserIn) , Heimel, Theo (VerfasserIn) , Plehn, Tilman (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2 July 2024
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
Beschreibung
Zusammenfassung: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.
Beschreibung:Gesehen am 09.12.2024
Beschreibung:Online Resource
ISSN:2542-4653
DOI:10.21468/SciPostPhys.17.1.001