MadGolem: automating NLO calculations for New Physics

TL;DR

MadGolem is an automated computational tool that streamlines NLO calculations for new physics processes at the LHC, enhancing precision in particle phenomenology predictions.

Contribution

It introduces a new automated framework for NLO calculations of 2->2 processes in the context of new physics, integrating renormalized amplitudes and divergence subtraction.

Findings

Demonstrates the code's performance and accuracy through dedicated tests.

Shows applications to LHC phenomenology for new physics searches.

Facilitates more precise theoretical predictions for experimental analyses.

Abstract

With the LHC close to complete its 8 TeV run, the experimental searches have already started to probe the vast beyond-the-standard Model scenery. Providing next-to-leading order (NLO) predictions for the major new physics discovery channels is therefore a most pressing request to particle phenomenologists these days. MadGolem is a new computational tool that automates NLO calculations of generic 2->2 new physics processes in the MadGraph/Golem framework. In this contribution we concisely describe the structure and performance of the code, with particular focus on the generation of the renormalized one-loop amplitudes and the automatized subtraction of infrared and on-shell divergences. We briefly survey the many dedicated tests of all these aspects and outline some applications to LHC phenomenology.