Conveners
General tools
- Tomas Gonzalo (RWTH Aachen)
We propose ([2105.13923][1]) a novel method for computing $p$-values based on nested sampling (NS). The computational cost of NS scales as $\log^2{1/p}$, which compares favorably to the $1/p$ scaling for Monte Carlo (MC) simulations. For significances greater than about $4\sigma$ in both a toy problem and a simplified resonance search, we show that NS requires orders of magnitude fewer...
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,...
