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Measuring QCD Splittings with Invertible Networks

by Sebastian Bieringer, Anja Butter, Theo Heimel, Stefan Höche, Ullrich Köthe, Tilman Plehn, Stefan T. Radev

Submission summary

As Contributors: Tilman Plehn
Arxiv Link: (pdf)
Date submitted: 2021-04-01 16:18
Submitted by: Plehn, Tilman
Submitted to: SciPost Physics
Academic field: Physics
  • High-Energy Physics - Phenomenology
Approaches: Computational, Phenomenological


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.

Current status:
Editor-in-charge assigned

Submission & Refereeing History

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Resubmission 2012.09873v2 on 1 April 2021

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