This thesis explores the feasibility of detecting the currently unobserved Higgs to four jets channel and investigates potential CP-violation searches for this channel at the Large Hadron-Electron Collider--an electron-proton collider experiment considered as a potential extension to the Large Hadron Collider at CERN. To extract the signal process information amidst significant backgrounds, a machine learning technique was employed and optimized to achieve a signal significance S/√S +B above 5. The CP-violating effect was parameterized using the Standard Model effective field theory, where the corresponding Wilson coefficient for the investigation is cgy,. A neural net-work was trained to distinguish between the CP-violating and CP-conserving events. A discrete likelihood scan based on...[ Read more ]

This thesis explores the feasibility of detecting the currently unobserved Higgs to four jets channel and investigates potential CP-violation searches for this channel at the Large Hadron-Electron Collider--an electron-proton collider experiment considered as a potential extension to the Large Hadron Collider at CERN. To extract the signal process information amidst significant backgrounds, a machine learning technique was employed and optimized to achieve a signal significance S/√S +B above 5. The CP-violating effect was parameterized using the Standard Model effective field theory, where the corresponding Wilson coefficient for the investigation is cgy,. A neural net-work was trained to distinguish between the CP-violating and CP-conserving events. A discrete likelihood scan based on the responses of the neural net-work, revealing a 68% confident level of c_Фw̄; = [-1.37, 1.30]. This shows the Large Hadron-Electron Collider is capable of achieving similar sensitivity as the High-Luminosity Large Hadron Collider with the expected constraint of C_Фw̄ = [-1.2, 1.2].