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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
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Submission summary
| Authors (as registered SciPost users): | Sebastian Bieringer · Stefan Höche · Tilman Plehn |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2012.09873v2 (pdf) |
| Date accepted: | 2021-05-04 |
| Date submitted: | 2021-04-01 16:18 |
| Submitted by: | Plehn, Tilman |
| Submitted to: | SciPost Physics |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approaches: | Computational, Phenomenological |
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.
Published as SciPost Phys. 10, 126 (2021)