Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning

There have been huge contributions to the search for Dark Matter (DM) candidates at the Large Harden Colliders (LHC) through the Higgs boson decay. This is because the Higgs portal can give us huge access to visible and dark interactions. The DM photon as known as (γd) is a theoretical particle that can be created in the Higgs boson decays H→ γγd. We take into consideration the production of the Higgs boson in the LHC through the gluons fusion (ggF) which has the largest production rate. So our goal in our project is to improve the results of finding the transverse invariant mass (mT) resolution for Dark Photon by using machine learning.