Measurement of the Higgs boson production cross section in association with two hadronic jets using model agnostic neural networks at the CMS experiment

This thesis presents the measurement of the Higgs boson production cross section in association with two hadronic jets. The cross section is measured as a function of the signed azimuthal angle difference between the two jets in the final state. The analysis targets Higgs boson production via the vector boson fusion and gluon-gluon fusion mechanisms, using proton-proton collision data recorded by the CMS detector during LHC Run 2, and corresponding to a total integrated luminosity of 138 fb-1. To mitigate theoretical model dependence, the analysis employs an adversarial deep neural network. The measured differential cross sections are further used to constrain Higgs boson couplings within the framework of the Standard Model effective field theory. Only expected results are presented in this thesis, as the measurement is covered by the blinding policy of the CMS Collaboration at the time of writing.