Optimized Neural Networks to Search for Higgs Boson Production at the Tevatron
نویسندگان
چکیده
An optimal choice of proper kinematical variables is one of the main steps in using neural networks (NN) in high energy physics. Our method of the variable selection is based on the analysis of a structure of Feynman diagrams (singularities and spin correlations) contributing to the signal and background processes. An application of this method to the Higgs boson search at the Tevatron leads to an improvement in the NN efficiency by a factor of 1.5-2 in comparison to previous NN studies.
منابع مشابه
Suggestions for Benchmark Scenarios for MSSM Higgs Boson Searches at Hadron Colliders∗
The Higgs boson search has shifted from LEP2 to the Tevatron and will subsequently move to the LHC. Due to the different initial states, the Higgs production and decay channels relevant for Higgs boson searches were different at LEP2 to what they are at hadron colliders. We suggest new benchmark scenarios for the MSSM Higgs boson search at hadron colliders that exemplify the phenomenology of di...
متن کاملMSSM Higgs Boson Searches at the Tevatron and the LHC: Impact of Different Benchmark Scenarios
The Higgs boson search has shifted from LEP2 to the Tevatron and will subsequently move to the LHC. The current limits from the Tevatron and the prospective sensitivities at the LHC are often interpreted in specific MSSM scenarios. For heavy Higgs boson production and subsequent decay into bb̄ or ττ, the present Tevatron data allow to set limits in the MA–tan β plane for small MA and large tanβ ...
متن کاملHiggs Searches at the Tevatron
We report on the status of Higgs boson searches at the Tevatron collider as of summer 2011. CDF and DØ perform Higgs searches in numerous final states corresponding to different potential production and decay modes of the Higgs in the context of both standard model (SM) production and other theoretical models. Based on current datasets we observe no excesses consistent with a Higgs signal and p...
متن کاملSearch for the Higgs through the decay channel H →
1 Abstract According to the Standard Model of Particle Physics, all particles are necessarily mass-less. Obviously this is not the case. One attempt at reconciling the Standard Model's prediction with observed particle masses is the proposal that particles acquire mass through the interaction with a field that pervades all of space; the stronger the interaction, the greater the acquired mass. T...
متن کاملApplication of Neural Networks Optimized by Genetic Algorithms to Higgs Boson Search
This paper describes an application of a neural network approach to SM (standard model) and MSSM (minimal supersymetry standard model) Higgs search in the associated production with . This decay channel is considered as a discovery channel for Higgs scenarios for Higgs boson masses in the range 80 130 GeV. A neural network model with a special type of data flow is used to separate background fr...
متن کامل