2024/11/03 by Bliewert, Bryan, List, Jenny, Ntounis, Dimitris +3 · 1 citation
#FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph)
paper · doi:10.48550/arxiv.2411.01507
The determination of the Higgs self-coupling is a key target for future colliders, in particular through di-Higgs production at e+e- Linear Colliders with √(s) > 450 GeV, e.g. ILC, C3 or CLIC. This contribution will discuss the roles and the interplay of di-Higgs production processes at various collider energies, including the case of non-SM values of the self-coupling. Previous studies, already based on Geant4-based detector simulation, established that the Higgs self-coupling can be extracted with 10-27% precision and provided a solid understanding of the limiting factors. This provides a robust starting point to explore the potential of more modern and sophisticated reconstruction and analysis techniques. We summarize the impact of advanced, often machine-learning-based algorithms, including e.g. jet clustering, kinematic fitting and matrix element-inferred likelihoods on the reconstruction of ZHH events and before discussing the dependence of the projected precision on the center-of-mass energy and on the actual value of the self-coupling.