EVAluation of the Equivalent Vector Boson Approximation at highest energy colliders
Benjamin Dahlén, Maximilian Löschner, Krzysztof Mękała, Jürgen Reuter, Panagiotis Stylianou
TL;DR
The paper rigorously tests the Equivalent Vector Boson Approximation (EVA) at multi‑TeV energies using Whizard, across a suite of SM processes to quantify its accuracy relative to full matrix elements. It develops the EVA formalism, implements multiple modes in Whizard, and demonstrates how the cross section factorizes into polarized vector boson structure functions and hard scattering amplitudes, illustrating with a 2→2 convolution example. Across di‑Higgs, neutrino, di‑photon, top‑pair, ZH, and vector boson scattering channels, the study finds no universal prescription that makes EVA universally accurate; the agreement is highly sensitive to polarization, kinematic cuts, and the chosen scales, with uncertainties up to $O(100\%)$ in many cases. The work concludes that while EVA can describe certain longitudinally dominated processes reasonably well and offers a fast, scalable tool for exploring EW splitting regimes and BSM scenarios, it is not a reliable replacement for full matrix‑element calculations in general, especially for transverse contributions, and emphasizes the need for careful, process‑dependent phase‑space selections and further development of EW resummation techniques.
Abstract
Collider processes at the highest available partonic center-of-mass energies - 10 TeV and above - exhibit a new regime of electroweak interactions where electroweak gauge bosons mostly act as quasi-massless partons in vector boson fusion processes. We scrutinize these processes using the Equivalent Vector boson Approximation (EVA) based on its implementation in the Monte Carlo generator framework Whizard. Using a variety of important physics processes, including top pairs, Higgs pairs, neutrino pairs, and vector boson pairs, we study the behavior of processes initiated by transverse and longitudinal vector bosons, both $W$ and $Z$ induced. By considering several distributions for each process, we conclude that: there is no universal, process-independent prescription which minimizes the discrepancies between EVA- and matrix-element-based predictions; even by resorting to process-by-process prescriptions, we typically observe significant observable-dependent effects; the uncertainties associated with parameter dependencies in the EVA can be as large as $\mathcal{O}$(100%), and can only possibly be reduced by careful process-dependent kinematical selections.
