Doubly-Charged Higgs Boson Decay Signal Parameterization
Session Number
2
Advisor(s)
Dr. Peter Dong, IMSA
Location
A147
Discipline
Physical Science
Start Date
15-4-2026 11:10 AM
End Date
15-4-2026 10:55 AM
Abstract
Currently, the most accurate model at describing observations in particle physics is the Standard Model. However, there are many phenomena that it fails to explain. To explain these phenomena, many theories extend the Standard Model. Some of these theories, like left-right symmetric models, type-II seesaw models, 331 models, and the Zee-Babu neutrino mass model, predict the existence of a new particle: the doubly-charged Higgs boson. The doubly-charged Higgs boson can be detected by its unique decay into two same-charge leptons. We work on modelling the same-sign dilepton invariant mass distribution of this decay and Standard Model background processes using a double-sided Crystal Ball function, a double Gaussian distribution, and a Gaussian/log power norm distribution. The signal fit parameters are then modeled as a function of the doubly-charged Higgs invariant mass using a power law fit.
Doubly-Charged Higgs Boson Decay Signal Parameterization
A147
Currently, the most accurate model at describing observations in particle physics is the Standard Model. However, there are many phenomena that it fails to explain. To explain these phenomena, many theories extend the Standard Model. Some of these theories, like left-right symmetric models, type-II seesaw models, 331 models, and the Zee-Babu neutrino mass model, predict the existence of a new particle: the doubly-charged Higgs boson. The doubly-charged Higgs boson can be detected by its unique decay into two same-charge leptons. We work on modelling the same-sign dilepton invariant mass distribution of this decay and Standard Model background processes using a double-sided Crystal Ball function, a double Gaussian distribution, and a Gaussian/log power norm distribution. The signal fit parameters are then modeled as a function of the doubly-charged Higgs invariant mass using a power law fit.