Speaker
Description
We present a phenomenology study probing the Supersymmetric Standard Model (SSM) at the Large Hadron Collider for a previously unexplored region of the parameter space.
In particular, we consider proton-proton collisions at $\sqrt{s}=13$ and $\sqrt{s}=14$ TeV and investigate the production of GeV-scale first and second-generation neutralinos $\widetilde{\chi}_{1}^{0}$ and $\widetilde{\chi}_{2}^{0}$, and first-generation charginos $\widetilde{\chi}_1^{\pm}$. This is done by employing a novel $pp \to \text{ewkino}~\text{ewkino}~jj $ vector boson fusion (VBF) topology. The analysis is performed using machine learning algorithms i.e. gradient boosting and deep learning methods, over traditional methods, to maximize the signal sensitivity with integrated luminosities of of $150, 300$, and $3000$ fb$^{-1}$.
We expect that our methodology extends LHC constraints to the SSM with $\ge 5\sigma$ signal significance throughout this parameter space, traditionally considered difficult to probe due to SM backgrounds and small SSM cross sections.