Drell-Yan Production at NNLL'+NNLO Matched to Parton Showers
Simone Alioli, Christian W. Bauer, Calvin Berggren, Frank J. Tackmann, and Jonathan R. Walsh

TL;DR
This paper introduces a novel Monte Carlo framework combining NNLO calculations with NNLL' resummation for Drell-Yan production, improving theoretical accuracy and agreement with LHC data.
Contribution
It develops a matched NNLO and NNLL' resummation framework integrated with parton showers, enhancing precision for Drell-Yan predictions.
Findings
Improved agreement with LHC measurements for resummation-sensitive observables.
Enhanced perturbative accuracy beyond traditional parton shower approximations.
Systematic assessment of theoretical uncertainties in Drell-Yan predictions.
Abstract
We present results for Drell-Yan production from the GENEVA Monte-Carlo framework. We combine the fully-differential NNLO calculation with higher-order resummation in the 0-jettiness resolution variable. The resulting parton-level events are further combined with parton showering and hadronization provided by PYTHIA8. The 0-jettiness resummation is carried out to NNLL', which consistently incorporates all singular virtual and real NNLO corrections. It thus provides a natural perturbative connection between the NNLO calculation and the parton shower regime, including a systematic assessment of perturbative uncertainties. In this way, inclusive observables are correct to NNLO, up to small power corrections in the resolution cutoff. Furthermore, the perturbative accuracy of 0-jet-like resummation variables is significantly improved beyond the parton shower approximation. We provide…
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.
