Search

One of the hardest challenges in data analysis is perhaps the detection of rare anomalous data buried in a huge normal background. We study this problem by constructing a novel method, which is a combination of the Kullback--Leibler importance estimation procedure based anomaly detection algorithm and linear discriminant classifier. We choose to illustrate it with the example of charged Higgs boson (CHB) search in particle physics. Indeed, the Large Hadron Collider experiments at CERN ensure that CHB signal must be a tiny effect within the irreducible W-boson background. In simulations, different CHB events with different characteristics are produced and judiciously mixed with the non-CHB data, and the proposed method is applied. Our results show that distribution parameters of weak CHB signals can be estimated with high performance. This anomaly detection method is general enough to apply to similar problems in other fields (e.g., astrophysical, medical, engineering problems). [ABSTRACT FROM AUTHOR]

In this study, triple Higgs boson production channels in a γγ-collider are investigated in the context of the two-Higgs-doublet model (2HDM). This model has three neutral Higgs bosons (h0/H0/A0 ) and two charged Higgs bosons (H±). Between all the possible combinations of the triple Higgs bosons in the final state, only the following two scattering processes are probable at tree-level: γγ→ H+H- h0 and γγ→ H+H- H0 . These two processes are important to determine the triple Higgs self-couplings gH+H-h0 and gH+H-H0 in the 2HDM. The calculation is carried out for two scenarios, which are inspired by recent experimental and theoretical results. The cross-section of these processes is calculated and a comparison is made for these scenarios. The total convoluted cross-section with photon luminosity in an e+e- -collider is presented as a function of the center of mass energy. [ABSTRACT FROM AUTHOR]