Measuring QCD Splittings with Invertible Networks
Sebastian Bieringer, Anja Butter, Theo Heimel, Stefan Höche, Ullrich Köthe, Tilman Plehn, Stefan T. Radev
SciPost Phys. 10, 126 (2021) · published 2 June 2021
- doi: 10.21468/SciPostPhys.10.6.126
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Abstract
QCD splittings are among the most fundamental theory concepts at the LHC. We show how they can be studied systematically with the help of invertible neural networks. These networks work with sub-jet information to extract fundamental parameters from jet samples. Our approach expands the LEP measurements of QCD Casimirs to a systematic test of QCD properties based on low-level jet observables. Starting with an toy example we study the effect of the full shower, hadronization, and detector effects in detail.
Cited by 27
Authors / Affiliations: mappings to Contributors and Organizations
See all Organizations.- 1 Sebastian Bieringer,
- 1 Anja Butter,
- 1 Theo Heimel,
- 2 Stefan Höche,
- 1 Ullrich Köthe,
- 1 Tilman Plehn,
- 1 Stefan T. Radev
- 1 Ruprecht-Karls-Universität Heidelberg / Heidelberg University
- 2 Fermi National Accelerator Laboratory [Fermilab]
Funders for the research work leading to this publication