Automated next-to-leading order predictions for new physics at the LHC: the case of colored scalar pair production
C\'eline Degrande, Benjamin Fuks, Valentin Hirschi, Josselin Proudom, and Hua-Sheng Shao

TL;DR
This paper introduces an automated framework for generating precise collider predictions at next-to-leading order in QCD for new physics models, specifically applied to colored scalar pair production at the LHC.
Contribution
It provides the first fully automated method to produce NLO QCD predictions matched with parton showers for non-standard models, requiring only the model Lagrangian and process details.
Findings
Automated NLO predictions for new physics at the LHC.
Application to colored scalar pair production.
Enhanced precision in collider predictions.
Abstract
We present for the first time the full automation of collider predictions matched with parton showers at the next-to-leading accuracy in QCD within non-trivial extensions of the Standard Model. The sole inputs required from the user are the model Lagrangian and the process of interest. As an application of the above, we explore scenarios beyond the Standard Model where new colored scalar particles can be pair produced in hadron collisions. Using simplified models to describe the new field interactions with the Standard Model, we present precision predictions for the LHC within the MadGraph5 aMC@NLO framework.
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