Window-based Limit Calculation for the Doubly-Charged Higgs Boson Search
Session Number
3
Advisor(s)
Peter Dong, IMSA
Location
A121
Discipline
Arts & Humanities
Start Date
15-4-2026 2:15 AM
End Date
15-4-2026 3:00 AM
Abstract
The search for particles beyond the Standard Model (SM) is an important focus at the Large Hadron Collider (LHC). One candidate is the doubly charged Higgs boson (H±±). Our analysis calculates limits on the production cross-section of the doubly charged Higgs using an unbinned likelihood fit. However, since the results of this fit depend heavily on signal and background modeling, we implement a simpler analysis as a validity check. We implement a sliding-window cut-and-count analysis across a mass range of 500 to 1500 GeV. Our method scans the mass spectrum in discrete window ranges, runs a counting experiment on each mass window using background data to estimate the rate of signal and five key background sources in the search. From these yields, we compute the expected limits on the production cross-section. By comparing the sensitivity of this sliding-window approach with the sensitivity from the unbinned likelihood fits, we evaluate the robustness and correctness of the limit calculations used in the main analysis and provide a cross-check for the main results.
Window-based Limit Calculation for the Doubly-Charged Higgs Boson Search
A121
The search for particles beyond the Standard Model (SM) is an important focus at the Large Hadron Collider (LHC). One candidate is the doubly charged Higgs boson (H±±). Our analysis calculates limits on the production cross-section of the doubly charged Higgs using an unbinned likelihood fit. However, since the results of this fit depend heavily on signal and background modeling, we implement a simpler analysis as a validity check. We implement a sliding-window cut-and-count analysis across a mass range of 500 to 1500 GeV. Our method scans the mass spectrum in discrete window ranges, runs a counting experiment on each mass window using background data to estimate the rate of signal and five key background sources in the search. From these yields, we compute the expected limits on the production cross-section. By comparing the sensitivity of this sliding-window approach with the sensitivity from the unbinned likelihood fits, we evaluate the robustness and correctness of the limit calculations used in the main analysis and provide a cross-check for the main results.