Outlook

This chapter focuses on improvement work on several aspects within the Compact Muon Solenoid (CMS) experiment. It begins with a discussion of the addition of noise mitigation algorithms to several High-Level Trigger (HLT) paths, which select events based on \({p_{\text{T},\text{no}-\mu }^{\text{miss}}} \) and \({H_{\text{T},\text{no}-\mu }^{\text{miss}}} \) quantities. Addition of such noise mitigation algorithms are found to be useful in reducing the data rate from mismeasured events, while having a negligible impact on the well-reconstructed events. Following this, an overview of the tracker upgrade for CMS Phase 2 is presented, with specific highlight on the design of Apollo Data Acquisition boards (Hazen, E. S., et. al.: The APOLLO ATCA Platform (2020). PoS, TWEPP2019, 120), which are going to be used as a part of the Phase 2 Inner Tracker data acquisition system within the CMS detector. The chapter concludes with a brief overview of the exploratory work done in an attempt to enhance the Vector Boson Fusion (VBF) \({\text{H} \rightarrow \text{inv.}} \) analysis, using more sophisticated graph neural network-based approaches (Qu, H., & Gouskos, L. (2020). Jet tagging via particle clouds. Physical Review D, 101(5), 056019), which has the potential to perform better classification between Higgs boson production events through VBF and Standard Model backgrounds, hence improving the sensitivity of the analysis described earlier in this thesis (CMS Collaboration, Phys. Rev. D 105, 092007 (2022) ).