Discrimination between the final state of tH and tA using neural network

Abstract

The Higgs Boson discovered in 2012 at the Large Hadron Collider (LHC) is still assumed to be the Standard Model Higgs Boson -a scalar particle. But there are still possibilities for a pseudo-scalar Higgs Boson. Currently, LHC has not been able to discriminate whether the particle is a scalar, pseudo-scalar, or mixed-scalar-pseudoscalar particle. The focus of this research is in the formulation of the neural network algorithm to discriminate between event signals from a scalar Higgs Boson and pseudo-scalar Higgs Boson in the Higgs production channel of associate production of Higgs Boson with a pair of top-antitop quark in a proton-proton collision pp → tH with center of mass energy with only Higgs decaying to a pair of bottom-antibottom quark had been considered. The set of discriminating variables used is the 3-momentum of all the final state particles. Discriminating efficiency of 0.412 was obtained which showed relatively small discriminating power.