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NNLOJET: a parton-level event generator for jet cross sections at NNLO QCD accuracy

A. Huss, L. Bonino, O. Braun-White, S. Caletti, X. Chen, J. Cruz-Martinez, J. Currie, Y. S. Dai, W. Feng, G. Fontana, E. Fox, R. Gauld, A. Gehrmann-De Ridder, T. Gehrmann, E. W. N. Glover, M. Höfer, P. Jakubčík, M. Jaquier, M. Löchner, F. Lorkowski, I. Majer, M. Marcoli, P. Meinzinger, F. Merlotti, J. Mo, T. Morgan, J. Niehues, J. Pires, C. T. Preuss, A. Rodriguez Garcia, K. Schönwald, R. Schürmann, V. Sotnikov, G. Stagnitto, H. T. Sun, D. Walker, S. Wells, J. Whitehead, T. Z. Yang, H. Zhang

TL;DR

NNLOJET delivers an open-source, antenna-subtraction–based framework to compute jet cross sections at NNLO in QCD for e+e−, ep, and hh collisions. By integrating a full parton-level event generator with a flexible runcard syntax and a Python workflow, it enables automated, process-by-process NNLO calculations and detailed fiducial observables. The paper documents the methodology for infrared subtraction, the software framework, the supported processes (including V+jet, photon-jet, and Higgs-jet), and the practical workflow from installation to final histogram production. This work enhances precision QCD phenomenology by providing accessible, reproducible NNLO predictions that can be integrated with standard PDF sets and experimental analyses. The NNLOJET release thereby facilitates high-precision tests of the Standard Model and supports future collider phenomenology requiring NNLO accuracy.

Abstract

The antenna subtraction method for NNLO QCD calculations is implemented in the NNLOJET parton-level event generator code to compute jet cross sections and related observables in electron-positron, lepton-hadron and hadron-hadron collisions. We describe the open-source NNLOJET code and its usage.

NNLOJET: a parton-level event generator for jet cross sections at NNLO QCD accuracy

TL;DR

NNLOJET delivers an open-source, antenna-subtraction–based framework to compute jet cross sections at NNLO in QCD for e+e−, ep, and hh collisions. By integrating a full parton-level event generator with a flexible runcard syntax and a Python workflow, it enables automated, process-by-process NNLO calculations and detailed fiducial observables. The paper documents the methodology for infrared subtraction, the software framework, the supported processes (including V+jet, photon-jet, and Higgs-jet), and the practical workflow from installation to final histogram production. This work enhances precision QCD phenomenology by providing accessible, reproducible NNLO predictions that can be integrated with standard PDF sets and experimental analyses. The NNLOJET release thereby facilitates high-precision tests of the Standard Model and supports future collider phenomenology requiring NNLO accuracy.

Abstract

The antenna subtraction method for NNLO QCD calculations is implemented in the NNLOJET parton-level event generator code to compute jet cross sections and related observables in electron-positron, lepton-hadron and hadron-hadron collisions. We describe the open-source NNLOJET code and its usage.

Paper Structure

This paper contains 37 sections, 9 equations, 2 figures, 1 table.

Table of Contents

  1. Introduction
  2. Antenna subtraction
  3. The NNLOJET framework
  4. External dependencies
  5. Installation
  6. Usage of NNLOJET
  7. Processes in NNLOJET
  8. Jet production in electron--positron collisions
  9. Jet production in electron--proton collisions
  10. Jet production in hadronic collisions
  11. Vector-boson-plus-jet production
  12. Photon-plus-jet and di-photon production
  13. Higgs-boson-plus-jet production
  14. Runcard syntax
  15. General syntax
  16. ...and 22 more sections

Figures (2)

  • Figure 1: Example of the graphical interface to monitor the status of the calculation. Each column (LO, R, V, RR, RV, VV) represents an active component of the calculation. The indexed rows represent independent luminosity channels. In each cell of the table, the phase of calculation is indicated: warmup ("WRM") or production ("PRD"). The number $n_A$ of active jobs is indicated as , which includes both pending and actively running jobs, while the number $n_D$ of completed jobs is indicated as . In case of unsuccessful NNLOJET executions, the cell will additionally include an entry , indicating the number of failed jobs $n_F$.
  • Figure 2: Differential distributions at LO, NLO, and NNLO for the transverse momentum of the leading jet in $Z+1j$. The uncertainty bands represent the envelope of a 7-point scale variation.