Monte Carlo Analysis of Dark Photon Production
Session Number
Project ID: PHYS 03
Advisor(s)
Dr. Peter Dong; Illinois Mathematics and Science Academy
Discipline
Physical Science
Start Date
19-4-2023 9:05 AM
End Date
19-4-2023 9:20 AM
Abstract
At present, dark matter theories predict the presence of dark photons. Detection of dark photons could provide insights into the nature of dark matter and its interactions with ordinary matter. Monte Carlo simulations are generated to understand Dark Photon production. Thus, we report the results of various files created. Monte Carlo generation was automated to derive branching ratios for dark photon mass. Additionally, the study examined the Delta R distribution relative to different mass points (ranging from 0.1 to 4.0 GeV). Results indicated no significant deviation between the mean and standard deviation of the different delta distributions, suggesting no dependence on mass for kinematics, but an impact on branching ratios.
Monte Carlo Analysis of Dark Photon Production
At present, dark matter theories predict the presence of dark photons. Detection of dark photons could provide insights into the nature of dark matter and its interactions with ordinary matter. Monte Carlo simulations are generated to understand Dark Photon production. Thus, we report the results of various files created. Monte Carlo generation was automated to derive branching ratios for dark photon mass. Additionally, the study examined the Delta R distribution relative to different mass points (ranging from 0.1 to 4.0 GeV). Results indicated no significant deviation between the mean and standard deviation of the different delta distributions, suggesting no dependence on mass for kinematics, but an impact on branching ratios.