On the consistent use of Constructed Observables
Michael Trott
TL;DR
This work exposes subtle inconsistencies that arise when constraining the SM EFT with constructed observables that assume SM-like deviations. It shows that equations of motion map between operator bases, so naive constraints can create functionally redundant parameter directions unless the defining conditions are applied in a basis-independent, EoM-consistent way. Through analysis of the S parameter, off-shell triple gauge couplings, LEP data, and h → V F spectra, the authors demonstrate how strong LEP bounds can sever connections between certain observables, and how finite renormalization can obscure direct relationships unless properly accounted for. The paper advocates using at least two operator bases and careful EoM mappings to obtain consistent, basis-independent SMEFT constraints as LHC analyses move toward more complex final states.
Abstract
We define "constructed observables" as relating experimental measurements to terms in a Lagrangian while simultaneously making assumptions about possible deviations from the Standard Model (SM), in other Lagrangian terms. Ensuring that the SM effective field theory (EFT) is constrained correctly when using constructed observables requires that their defining conditions are imposed on the EFT in a manner that is consistent with the equations of motion. Failing to do so can result in a "functionally redundant" operator basis and the wrong expectation as to how experimental quantities are related in the EFT. We illustrate the issues involved considering the $\rm S$ parameter and the off shell triple gauge coupling (TGC) verticies. We show that the relationships between $h \rightarrow V \bar{f} \, f$ decay and the off shell TGC verticies are subject to these subtleties, and how the connections between these observables vanish in the limit of strong bounds due to LEP. The challenge of using constructed observables to consistently constrain the Standard Model EFT is only expected to grow with future LHC data, as more complex processes are studied.
