First N³LO QCD prediction for boosted WH production yields +2% corrections with sub-percent residual scale dependence.
NNLO QCD corrections to associated $WH$ production and $H \to b \bar b$ decay
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abstract
We present a computation of the next-to-next-to-leading order (NNLO) QCD corrections to the production of a Higgs boson in association with a W boson at the LHC and the subsequent decay of the Higgs boson into a b-bbar pair, treating the b-quarks as massless. We consider various kinematic distributions and find significant corrections to observables that resolve the Higgs decay products. We also find that a cut on the transverse momentum of the W boson, important for experimental analyses, may have a significant impact on kinematic distributions and radiative corrections. We show that some of these effects can be adequately described by simulating QCD radiation in Higgs boson decays to b-quarks using parton showers. We also describe contributions to Higgs decay to a b-bbar pair that first appear at NNLO and that were not considered in previous fully-differential computations. The calculation of NNLO QCD corrections to production and decay sub-processes is carried out within the nested soft-collinear subtraction scheme presented by some of us earlier this year. We demonstrate that this subtraction scheme performs very well, allowing a computation of the coefficient of the second order QCD corrections at the level of a few per mill.
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The report reviews progress since 2021 in fixed-order computations for LHC applications and identifies processes requiring missing higher-order corrections to match anticipated experimental precision.
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Boosted Higgs-strahlung off a $W$ boson at next-to-next-to-next-to-leading order in QCD
First N³LO QCD prediction for boosted WH production yields +2% corrections with sub-percent residual scale dependence.
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Les Houches 2023 -- Physics at TeV Colliders: Report on the Standard Model Precision Wishlist
The report reviews progress since 2021 in fixed-order computations for LHC applications and identifies processes requiring missing higher-order corrections to match anticipated experimental precision.