IMSA-CMS: Particle Physics at the LH
Session Number
Project ID: PHYS 09
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
This year, my research has focused on optimizing Dark Photon and QCD datasets by comparing characteristic variables to exclude virtual jets. The bulk of my work has been in deep learning, where I am using Root's TMVA library to create layered neural networks to distinguish between dark photons and other potential sources of particles. In the broader perspective, by selecting independent feature vectors, these data cuts allow us to improve the efficiency of lepton-jet selection, an optimization motivated by the reduction of the virtual background dataset.
IMSA-CMS: Particle Physics at the LH
This year, my research has focused on optimizing Dark Photon and QCD datasets by comparing characteristic variables to exclude virtual jets. The bulk of my work has been in deep learning, where I am using Root's TMVA library to create layered neural networks to distinguish between dark photons and other potential sources of particles. In the broader perspective, by selecting independent feature vectors, these data cuts allow us to improve the efficiency of lepton-jet selection, an optimization motivated by the reduction of the virtual background dataset.