Building Next-to-Next Leading Logarithmic parton showers: the PanScales recipe

TL;DR

This paper discusses the development of parton showers with next-to-next-to-leading-logarithmic accuracy, enhancing the precision of collider data interpretation in Monte Carlo simulations.

Contribution

It introduces the PanScales collaboration's strategy for achieving next-to-next-to-leading-logarithmic accuracy in parton showers, a significant advancement over previous methods.

Findings

First demonstrably NNLL accurate parton showers

Improved theoretical precision in collider data analysis

Framework for future developments in parton shower algorithms

Abstract

Parton showers lie at the core of Shower Monte Carlo event generators, the default theoretical tools used to interpret collider data. In these proceedings, we summarise the strategy of the PanScales collaboration that led to the attainment of the first demonstrably next-to-next-to-leading-logarithmic accurate parton showers.