# Associated production of a Higgs boson decaying into bottom quarks and a weak vector boson decaying leptonically at NNLO in QCD

## TL;DR

This paper calculates precise NNLO QCD corrections for Higgs production with a decay into bottom quarks and a leptonically decaying vector boson, providing accurate predictions for LHC observables.

## Contribution

It presents the first fully differential NNLO QCD calculation for associated Higgs and vector boson production including decay, using antenna subtraction and implementing in NNLOJET.

## Key findings

- Percent-level accuracy in fiducial cross sections and distributions.
- Residual scale uncertainties are quantified with independent variations.
- Naive perturbative expansion may underestimate higher-order effects at NNLO.

## Abstract

We present the calculation of next-to-next-to-leading order (NNLO) corrections in perturbative QCD for the production of a Higgs boson decaying into a pair of bottom quarks in association with a leptonically decaying weak vector boson: $\mathrm{pp} \to V \mathrm{H} + X \to \ell\bar{\ell}\;\mathrm{b\bar{b}} + X$. We consider the corrections to both the production and decay sub-processes, retaining a fully differential description of the final state including off-shell propagators of the Higgs and vector boson. The calculation is carried out using the antenna subtraction formalism and is implemented in the NNLOJET framework. Clustering and identification of $\mathrm{b}$-jets is performed with the flavour-$k_t$ algorithm and results for fiducial cross sections and distributions are presented for the LHC at $\sqrt{s}=13\;\text{TeV}$. We assess the residual theory uncertainty by varying the production and decay scales independently and provide scale uncertainty bands in our results, yielding percent-level accurate predictions for observables in this Higgs production mode computed at NNLO. Confronting a na\"ive perturbative expansion of the cross section against the customary re-scaling procedure to a fixed branching ratio reveals that starting from NNLO, the latter could be inadequate in estimating missing higher-order effects through scale variations.