Two-loop mixed QCD-electroweak amplitudes for $Z+$jet production at the LHC: bosonic corrections
Piotr Bargiela, Fabrizio Caola, Herschel Chawdhry, Xiao Liu

TL;DR
This paper calculates the bosonic part of two-loop mixed QCD-electroweak amplitudes for Z+jet production at the LHC, enhancing the precision of background modeling for new physics searches.
Contribution
It introduces a novel method for calculating two-loop amplitudes in the 't Hooft-Veltman scheme and provides numerical results crucial for collider phenomenology.
Findings
Numerical two-loop amplitudes for Z+jet production are obtained.
The method reduces computational complexity and improves accuracy.
Results support better background estimates for monojet searches.
Abstract
We present a calculation of the bosonic contribution to the two-loop mixed QCD-electroweak scattering amplitudes for -boson production in association with one hard jet at hadron colliders. We employ a method to calculate amplitudes in the 't Hooft-Veltman scheme that reduces the amount of spurious non-physical information needed at intermediate stages of the computation, to keep the complexity of the calculation under control. We compute all the relevant Feynman integrals numerically using the Auxiliary Mass Flow method. We evaluate the two-loop scattering amplitudes on a two-dimensional grid in the rapidity and transverse momentum of the boson, which has been designed to yield a reliable numerical sampling of the boosted- region. This result provides an important building block for improving the theoretical modelling of a key background for monojet searches at the LHC.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Computational Physics and Python Applications
