Conveners
General tools
- Tomas Gonzalo (RWTH Aachen)
Presentation materials
We propose ([2105.13923][1]) a novel method for computing
Machine Learning plays a major role in computational phyics providing a mechanism to approximate arbitrarily complex functions with, for example, Artificial Neural Networks and Boosted Decision Trees.
Unfortunately, the integration of machine learning models trained with python frameworks in production code, often developed in C, C++ or FORTRAN, is notoriously a complicated task.
In this...
We present FlexibleDecay, a tool to calculate decays of scalars in an arbitrary BSM model. The tool aims for high precision particularly in the case of Higgs boson decays. In the case of scalar and pseudoscalar Higgs boson decays the known higher order SM QED, QCD and EW effects are taken into account where possible. The program works in a modified MSbar scheme that exhibits a decoupling...
We present NPointFunctions, a package to calculate any desired one-loop amplitudes for an arbitrary BSM model. It aims to be customizable, modular and extensible with additional process- or amplitude- dependent contributions. The program relies on the SARAH-generated output used with FeynArts/FormCalc packages, embedded in an appropriate way. The resulting tool is an extension to FlexibleSUSY,...