Speaker
Description
Significant progress was made with LHC Run-2 data in probing the Higgs boson (H) self-interaction via searches for HH pair production. The strength of the H self-interaction is unmeasured so far, and its value has implications ranging for the long-term stability of the universe to the presence of new physics. With the large datasets now being collected at the LHC, we have entered a new era in which HH measurement will be one of key priorities of the High Luminosity LHC. In this talk, I will first summarize the progress made by the ATLAS and CMS collaborations with Run-2 data, then focus on crucial efforts made using Artificial Intelligence by the CMS Collaboration to greatly improve the HH measurement sensitivity with Run-3 data. This includes the implementation of novel trigger strategies, more accurate jet flavor identification, and improvements in jet energy regression estimates. These innovations will pave the way for an accelerated sensitivity of the Higgs self-interaction strength in Run-3 and beyond.
| Field of contribution | Experiment |
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