Designing Gapped Soft Functions for Jet Production

TL;DR

This paper introduces a unified approach to soft functions in jet production that seamlessly transitions between perturbative and nonperturbative regimes, improving theoretical predictions and stability.

Contribution

The authors design soft functions that interpolate between perturbative calculations and nonperturbative models, incorporating a gap scheme to eliminate renormalon ambiguities.

Findings

Soft functions reduce to perturbative results in the OPE region.

A gap scheme removes the leading renormalon ambiguity.

Enhanced convergence and stability of jet predictions.

Abstract

Distributions in jet production often depend on a soft function, S, which describes hadronic radiation between the jets. Near kinematic thresholds S encodes nonperturbative information, while far from thresholds S can be computed with an operator product expansion (OPE). We design soft functions for jets that serve this dual purpose, reducing to the perturbative result in the OPE region and to a consistent model in the nonperturbative region. We use the MSbar scheme, and in both regions S displays the appropriate renormalization group scale dependence. We point out that viable soft function models should have a gap associated with the minimum hadronic energy deposit. This gap is connected to the leading O(Lambda_QCD) renormalon ambiguity in jet event shapes. By defining the gap in a suitable scheme we demonstrate that the leading renormalon can be eliminated. This improves the convergence of perturbative results, and also the stability by which non-perturbative parameters encode the underlying soft physics.