• Letter
  • Open Access

Drell–Yan lepton-pair production: qT resummation at N3LL accuracy and fiducial cross sections at N3LO

Stefano Camarda, Leandro Cieri, and Giancarlo Ferrera
Phys. Rev. D 104, L111503 – Published 30 December 2021

Abstract

We present high-accuracy QCD predictions for the transverse-momentum (qT) distribution and fiducial cross sections of Drell–Yan lepton pairs produced in hadronic collisions. At small values of qT we resum to all perturbative orders the logarithmically enhanced contributions up to next-to-next-to-next-to-leading logarithmic (N3LL) accuracy, including all the next-to-next-to-next-to-leading order (N3LO) [i.e., O(αS3)] terms. Our resummed calculation has been implemented in the public numerical program DYTurbo, which produces fast and precise predictions with the full dependence on the final-state lepton kinematics. We consistently combine our resummed results with the known O(αS3) fixed-order predictions at large values of qT thus also obtaining full N3LO accuracy for fiducial cross sections. We show numerical results at LHC energies discussing the reduction of the perturbative uncertainty with respect to lower-order calculations.

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  • Received 22 March 2021
  • Revised 11 June 2021
  • Accepted 3 December 2021

DOI:https://doi.org/10.1103/PhysRevD.104.L111503

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Stefano Camarda1, Leandro Cieri2, and Giancarlo Ferrera3

  • 1CERN, CH-1211 Geneva, Switzerland
  • 2INFN, Sezione di Firenze, I-50019 Sesto Fiorentino, Florence, Italy
  • 3Dipartimento di Fisica, Università di Milano and INFN, Sezione di Milano, I-20133 Milan, Italy

Article Text

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Issue

Vol. 104, Iss. 11 — 1 December 2021

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