Speaker
Description
The next-to-minimal supersymmetric extension of the Standard Model (NMSSM) belongs to the most prominent, best motivated and experimentally widely tested beyond-SM extensions. For a meaningful interpretation of the experimental results and in order to be able to pin down the model underlying nature from the theory side, precise predictions for observables and parameters are crucial. Moreover, in view of the SM-like nature of the Higgs boson all relevant experimental and theoretical constraints have to be considered to corner valid new physics models. Because of the non-minimal number of input parameters, an intelligent scan procedure of the parameter space is required in order to investigate the parameter space, taking into account all relevant constraints and then providing interesting benchmark points. In this talk, we present our recent progress on a program chain, starting with the code NMSSMCALC to calculate loop-corrected Higgs masses and decays and (newly incuded) supersymmetric particle decays. We then also discuss the setup for the performance of intelligent scans (e.g. via Markov chain Montecarlo or active learning) in the NMSSM with the tool BSMArt and other tools to check for experimental limits and constraints. Finally, we present some first results.
