Parameterization of Lambda Dependence

Session Number

Project ID: PHYS 11

Advisor(s)

Dr. Peter Dong; llinois Mathematics and Science Academy

Discipline

Physical Science

Start Date

22-4-2020 10:25 AM

End Date

22-4-2020 10:40 AM

Abstract

We worked on the parameterization of Λ for contact interactions to create a yield curve of expected number of events as a function of Λ for each lepton type, detector location, helicity, interference, and invariant mass bin. A theoretical function for the number of events based on Λ can be created for the contact interaction extension to the Standard Model being tested, but it does not consider the effects of the detector causing incorrect reconstruction of particle quantities.. Monte Carlo algorithms create data for certain values of Λ reconstructed by a detector simulation which we generalize into a function for any Λ. These parameterizations are used by the limit setting group to compare to data generated from the CMS experiment and determine if there are any significant differences from the Standard Model.

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Apr 22nd, 10:25 AM Apr 22nd, 10:40 AM

Parameterization of Lambda Dependence

We worked on the parameterization of Λ for contact interactions to create a yield curve of expected number of events as a function of Λ for each lepton type, detector location, helicity, interference, and invariant mass bin. A theoretical function for the number of events based on Λ can be created for the contact interaction extension to the Standard Model being tested, but it does not consider the effects of the detector causing incorrect reconstruction of particle quantities.. Monte Carlo algorithms create data for certain values of Λ reconstructed by a detector simulation which we generalize into a function for any Λ. These parameterizations are used by the limit setting group to compare to data generated from the CMS experiment and determine if there are any significant differences from the Standard Model.