Event Title

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.

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Apr 20th, 10:05 AM Apr 20th, 10:20 AM

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.