Combining Higher-Order Resummation with Multiple NLO Calculations and Parton Showers in the GENEVA Monte Carlo Framework

TL;DR

The paper introduces the GENEVA Monte Carlo framework that integrates NNLL resummation, multiple NLO calculations, and parton showers to improve accuracy in jet physics simulations, validated against LEP and Drell-Yan data.

Contribution

It presents a novel framework combining higher-order resummation with multiple NLO calculations and parton showers for enhanced perturbative accuracy.

Findings

Accurate description of e+e- -> jets compared to LEP data

Effective modeling of Drell-Yan production

Improved theoretical precision in jet resolution scales

Abstract

We discuss the GENEVA Monte Carlo framework, which combines higher-order resummation (NNLL) of large Sudakov logarithms with multiple next-to-leading-order (NLO) matrix-element corrections and parton showering (using PYTHIA8) to give a complete description at the next higher perturbative accuracy in alpha_s at both small and large jet resolution scales. Results for e+e- -> jets compared to LEP data and for Drell-Yan production are presented.