Search for new physics on the CMS experiment of the Large Hadron Collider

• Grant number: 18/01398-1
• Support type: Scholarships in Brazil - Master
• Effective date (Start): June 01, 2018
• Effective date (End): June 20, 2020
• Field of knowledge: Physical Sciences and Mathematics - Physics - Elementary Particle Physics and Fields
• Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal researcher: Thiago Rafael Fernandez Perez Tomei
• Grantee: Breno Orzari
• Home Institution: Instituto de Física Teórica (IFT). Universidade Estadual Paulista (UNESP). Campus de São Paulo. São Paulo , SP, Brazil
• Associated research grant: 13/01907-0 - São Paulo Research and Analysis Center, AP.TEM
• Associated scholarship(s): 19/16401-0 - Machine learning for simulation of HEP collisions with the CMS detector, BE.EP.MS

Abstract

Nowadays the standard model of particles and fields (SM) can be considered as an established theory, an statement that became even stronger after the detection of the Higgs boson. Even though the SM is the theory that better describes the phenomena that happen at the scales of subatomic particles, there are experimental observations that point to the existence of physics beyond the standard model. One of the main indications that support this statement is the observation of a number of gravitational anomalies that seem to signal the presence of a new type of matter, one that is stable, massive and practically noninteracting. The microscopic nature of this new kind of matter, named dark matter, is not yet known. The goal of this project is to do a viability study of a search for physics beyond the standard model with the data collected by the CMS experiment during Run 2, where one could discover hints of the production of dark matter, using the Dark Higgs model as a benchmark. This study will be performed through the analysis of simulated pp collisions at sqrt(s) = 13 TeV and the comparison between simulated new physics signal events and background estimates that represent the SM predictions. (AU)