Lepton Jet Generation and Reconstruction at Generator Level
Advisor(s)
Dr. Peter Dong; Illinois Mathematics and Science Academy
Discipline
Physical Science
Start Date
21-4-2021 10:25 AM
End Date
21-4-2021 10:40 AM
Abstract
I used PYTHIA 8, a Monte Carlo generator for particle physics, to simulate lepton-jet-producing events. These lepton jets are produced by squarks which produce neutralinos which create dark photons that undergo a dark sector cascade decay into detectable lepton jets.
These events were examined for information about the particles that were produced. Triggers, which determine whether an event is recorded or not in the particle accelerator, were simulated. The number of events passing the trigger and the total number of events were compared, resulting in a trigger acceptance that will inform future studies. Number of jets produced based on information about the leptons was calculated. This was then compared with the actual number of jets there were, giving the reconstruction efficiency.
Exact properties of theoretical particles are unknown, so I generated samples with varying conditions, to gain knowledge of what the events may be like. Notably, reconstruction efficiency is ~70% for all samples and triggers. The three-muon trigger, which we hope to have running on the real particle accelerator next year, shows much higher trigger acceptance over other triggers which are being used.
Lepton Jet Generation and Reconstruction at Generator Level
I used PYTHIA 8, a Monte Carlo generator for particle physics, to simulate lepton-jet-producing events. These lepton jets are produced by squarks which produce neutralinos which create dark photons that undergo a dark sector cascade decay into detectable lepton jets.
These events were examined for information about the particles that were produced. Triggers, which determine whether an event is recorded or not in the particle accelerator, were simulated. The number of events passing the trigger and the total number of events were compared, resulting in a trigger acceptance that will inform future studies. Number of jets produced based on information about the leptons was calculated. This was then compared with the actual number of jets there were, giving the reconstruction efficiency.
Exact properties of theoretical particles are unknown, so I generated samples with varying conditions, to gain knowledge of what the events may be like. Notably, reconstruction efficiency is ~70% for all samples and triggers. The three-muon trigger, which we hope to have running on the real particle accelerator next year, shows much higher trigger acceptance over other triggers which are being used.