NNLL-fast: predictions for coloured supersymmetric particle production at the LHC with threshold and Coulomb resummation

TL;DR

This paper provides advanced NNLL resummed predictions for supersymmetric squark and gluino production at the LHC, improving accuracy and reducing uncertainties using Coulomb corrections and bound state effects.

Contribution

It introduces NNLL-fast, a computational tool that incorporates threshold and Coulomb resummation for more precise supersymmetric particle production predictions.

Findings

NNLL corrections increase cross-section estimates.

Scale uncertainty reduced to 5-10%.

Provides a publicly available code NNLL-fast.

Abstract

We present state-of-the art predictions for the production of supersymmetric squarks and gluinos at the Large Hadron Collider (LHC), including soft-gluon resummation up to next-to-next-to-leading logarithmic (NNLL) accuracy, the resummation of Coulomb corrections and the contribution from bound states. The NNLL corrections enhance the cross-section predictions and reduce the scale uncertainty to a level of 5-10%. The NNLL resummed cross-section predictions can be obtained from the computer code NNLL-fast, which also provides the scale uncertainty and the pdf and alpha_s error.