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Abstract
Drell–Yan lepton pair production processes are extremely important for standard model (SM) precision tests and for beyond the SM searches at hadron colliders. Fast and accurate predictions are essential to enable the best use of the precision measurements of these processes; they are used for parton density fits, for the extraction of fundamental parameters of the SM, and for the estimation of background processes in searches. This paper describes a new numerical program, DYTurbo, for the calculation of the QCD transverse-momentum resummation of Drell–Yan cross sections up to next-to-next-to-leading logarithmic accuracy combined with the fixed-order results at next-to-next-to-leading order (), including the full kinematical dependence of the decaying lepton pair with the corresponding spin correlations and the finite-width effects. The DYTurbo program is an improved reimplementation of the DYqT, DYRes and DYNNLO programs, which provides fast and numerically precise predictions through the factorisation of the cross section into production and decay variables, and the usage of quadrature rules based on interpolating functions for the integration over kinematic variables.
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1 CERN, Geneva, Switzerland (GRID:grid.9132.9) (ISNI:0000 0001 2156 142X)
2 SACLAY, Paris, France (GRID:grid.9132.9)
3 Università di Pavia and INFN, Dipartimento di Fisica, Sezione di Pavia, Italy (GRID:grid.8982.b) (ISNI:0000 0004 1762 5736)
4 INFN, Sezione di Firenze, Italy (GRID:grid.6045.7) (ISNI:0000 0004 1757 5281)
5 INFN, Sezione di Milano-Bicocca, Italy (GRID:grid.6045.7) (ISNI:0000 0004 1757 5281)
6 Johannes Gutenberg-University, Mainz, Germany (GRID:grid.5802.f) (ISNI:0000 0001 1941 7111)
7 Università di Milano and INFN, Dipartimento di Fisica, Sezione di Milano, Italy (GRID:grid.5802.f)
8 ICAS-UNSAM, San Martin, Argentina (GRID:grid.5802.f)
9 DESY, Hamburg, Germany (GRID:grid.7683.a) (ISNI:0000 0004 0492 0453)
10 University of Zurich, Department of Physics, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
11 Carleton University, Ottawa, Canada (GRID:grid.34428.39) (ISNI:0000 0004 1936 893X)