#### Event Title

Generating Limits on the Scale of Compositeness

#### Session Number

Project ID: PHYS 02

#### Advisor(s)

Dr. Peter Dong; llinois Mathematics and Science Academy

#### Discipline

Physical Science

#### Start Date

22-4-2020 10:05 AM

#### End Date

22-4-2020 10:20 AM

#### Abstract

The theory of compositeness proposes the idea that the fundamental particles described in the Standard Model are composed of particles called preons. Our analysis focuses on a new method of generating theoretical limits on the energy scale Λ at which compositeness can actually be observed. Lower limits of 95% confidence are set by calculating the Λ at which one could observe a non-resonant enhancement in the dilepton invariant mass spectrum when compared to the current Standard Model prediction.

Destructive interference can cause a yield that is lower than the Standard Model prediction in some of the signal bins, making it challenging to interpret contact interactions as a signal process. We have implemented a system of lambda parameterizations that combines the yields of the signal and Drell-Yan processes as a function of 1/Λ^2 and then sets a limit directly on Λ. Our approach ensures that the total number of events will always be positive. We have also made major headway in deploying the expected limit generation framework to CMS (Compact Muon Solenoid Experiment) CRAB, a collection of parallel processing computing farms.

Generating Limits on the Scale of Compositeness

The theory of compositeness proposes the idea that the fundamental particles described in the Standard Model are composed of particles called preons. Our analysis focuses on a new method of generating theoretical limits on the energy scale Λ at which compositeness can actually be observed. Lower limits of 95% confidence are set by calculating the Λ at which one could observe a non-resonant enhancement in the dilepton invariant mass spectrum when compared to the current Standard Model prediction.

Destructive interference can cause a yield that is lower than the Standard Model prediction in some of the signal bins, making it challenging to interpret contact interactions as a signal process. We have implemented a system of lambda parameterizations that combines the yields of the signal and Drell-Yan processes as a function of 1/Λ^2 and then sets a limit directly on Λ. Our approach ensures that the total number of events will always be positive. We have also made major headway in deploying the expected limit generation framework to CMS (Compact Muon Solenoid Experiment) CRAB, a collection of parallel processing computing farms.