The BSM-AI project: SUSY-AI-generalizing LHC limits on supersymmetry with machine learning

Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data

In this article, we propose expanding the use of scientific repositories such as Zenodo and HEP data, in particular, to better study multiparametric solutions of physical models. The implementation of interactive web-based visualizations enables quick and convenient reanalysis and comparisons of phenomenological data. To illustrate our point of view, we present some examples and demos for dark matter models, supersymmetry exclusions, and LHC simulations.

Heavy Z ' bosons in the secluded U ( 1 ) ' model at hadron colliders

We study Z ' phenomenology at hadron colliders in an U ( 1 ) ' extended MSSM. We choose a U ( 1 ) ' model with a secluded sector, where the tension between the electroweak scale and developing a large enough mass for Z ' is resolved by incorporating three additional singlet superfields into the model. We perform a detailed analysis of the production, followed by decays, including into supersymmetric particles, of a Z ' boson with mass between 4 and 5.2 TeV, with particular emphasis on its possible discovery. We select three different scenarios consistent with the latest available experimental data and relic density constraints, and concentrate on final signals with 2 ℓ + ⧸ E T , 4 ℓ + ⧸ E T and 6 ℓ + ⧸ E T . Including the SM background from processes with two, three or four vector bosons, we show the likelihood of observing a Z ' boson is not promising for the HL-LHC at 14 TeV. While at 27 and 100 TeV, the situation is more optimistic, and we devise specific benchmark scenarios which could be observed.