Signal region optimization for the search of right-handed neutrinos

The standard model of particle physics along with the theory of general relativity can describe almost everything observed in nature, barring a few experimental and observational facts like baryon assymetry and the composition and origin of dark matter. Right-handed neutrinos (RHN), if they exist, could explain some of these phenomena. They are promising dark matter candidates as well. This project was a part of the search for RHN using data samples collected by the Compact Muon Solenoid experiment at the LHC in 2016 and 2017, corresponding to an integrated luminosity of 36 fb-1 . Under the mentorship of Dr. Sourabh Dube, I employed a technique called multilepton analysis for the search, focusing on signal region optimization. The results obtained were used to define limits on the production of right handed neutrinos. This project had a significant learning component, introducing me to general methods and theory in the field of high-energy physics.

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