Litcius/Paper detail

DYTurbo: fast predictions for Drell–Yan processes

Stefano Camarda, Maarten Boonekamp, Giuseppe Bozzi, Stefano Catani, Leandro Cieri, Jakub Cuth, Giancarlo Ferrera, Daniel de Florian, Alexandre Glazov, Massimiliano Grazzini, Manuella G. Vincter, Matthias Schott

2020The European Physical Journal C54 citationsDOIOpen Access PDF

Abstract

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, , 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 ( $$\mathcal {O}(\alpha _{\mathrm {S}}^2)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>O</mml:mi><mml:mo>(</mml:mo><mml:msubsup><mml:mi>α</mml:mi><mml:mrow><mml:mi>S</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math> ), including the full kinematical dependence of the decaying lepton pair with the corresponding spin correlations and the finite-width effects. The program is an improved reimplementation of the , and 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.

Topics & Concepts

ResummationPhysicsFactorizationPartonLeptonParticle physicsQuantum chromodynamicsLogarithmPair productionNumerical integrationEstimatorCross section (physics)Statistical physicsKinematicsHadronProduction (economics)ExtrapolationNuclear physicsAlgorithmGaussian quadratureMonte Carlo methodEstimation theoryParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle InteractionsComputational Physics and Python Applications