The search for standard model double Higgs boson (hh) production at CMS is presented, using final states from various decay channels: HH->b b b b, b b VV, b b tau tau, and b b gamma gamma. The hh production serves to measure the self-coupling of the Higgs boson the rate of which is small in the SM. However, contributions from beyond standard models (BSM) can significantly enhance the rate....
Machine learning is now widely used in many fields of high energy physics. In particular, many important results have been improved in relation to the Higgs physics phenomena. Based on previous studies for Higgs-pair production in $HH \rightarrow b \bar{b} \gamma\gamma$ channel at the HL-LHC, we apply the
machine learning approaches to the study of self-coupling of Higgs particle. We show...
Augmentation of invisible information with respect to many hypothetical models of background and signal processes, can highly improve the performance of the machine learning classifiers for HEP event discrimination. In this regard di-Higgs searches in the channels with multiple invisible final states, is one of the most important applications. Focusing on the di-Higgs channels with 2 bottom...
