Lepton Jet Matching Efficiency at Different Cone Sizes
Session Number
Project ID: PHYS 19
Advisor(s)
Dr. Peter Dong, Illinois Mathematics and Science Academy
Discipline
Physical Science
Start Date
20-4-2022 10:05 AM
End Date
20-4-2022 10:20 AM
Abstract
The existence of the dark photon is predicted by several theories beyond the standard model. In this study, we analyze particles in the dark photon’s decay pattern, specifically lepton jets, to prove or disprove the existence of the dark photon. The number of lepton jets found and the number of recognized jets that are matched to an underlying neutralino depend on the cone size (Δr) used to search for jets. A large Δr includes more particles, resulting in more jets found, but could include unwanted particles as well. A small cone size includes fewer particles, making the jets found easy to match, but could omit wanted particles. The purpose of this study is to find the optimal Δr for identifying and matching lepton jets. A C++ program was used to simulate particle collisions and analyze the results. The Δr values tested were 0.01, 0.03, 0.05, 0.1, 0.3, 0.5, and 0.7. It was found that the Δr value with the most optimal matching efficiency was 0.05.
Lepton Jet Matching Efficiency at Different Cone Sizes
The existence of the dark photon is predicted by several theories beyond the standard model. In this study, we analyze particles in the dark photon’s decay pattern, specifically lepton jets, to prove or disprove the existence of the dark photon. The number of lepton jets found and the number of recognized jets that are matched to an underlying neutralino depend on the cone size (Δr) used to search for jets. A large Δr includes more particles, resulting in more jets found, but could include unwanted particles as well. A small cone size includes fewer particles, making the jets found easy to match, but could omit wanted particles. The purpose of this study is to find the optimal Δr for identifying and matching lepton jets. A C++ program was used to simulate particle collisions and analyze the results. The Δr values tested were 0.01, 0.03, 0.05, 0.1, 0.3, 0.5, and 0.7. It was found that the Δr value with the most optimal matching efficiency was 0.05.