Open Journal of Microphysics
Vol.06 No.01(2016), Article ID:62467,14 pages
10.4236/ojm.2016.61001
Neural Networks Search for Charged Higgs Boson in Two Doublet Higgs Model at the Hadrons Colliders
Nady Bakhet1,2*, Maxim Yu Khlopov3,4, Tarek Hussein1,2
1Department of Physics, Cairo University, Giza, Egypt
2Egyptian Network of High Energy Physics-ASRT, Cairo, Egypt
3APC Laboratory, IN2P3/CNRS, Paris, France
4National Research Nuclear University “MEPHI” (Moscow Engineering Physics Institute), Moscow, Russia

Copyright © 2016 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/



Received 26 October 2015; accepted 27 December 2015; published 30 December 2015
ABSTRACT
In this work we present an analysis of a search for charged Higgs boson in the context of Two Doublet Higgs Model (2HDM) which is an extension of the Standard Model of particles physics where the 2HDM predicts by existence scalar sector with new five Higgs bosons; two of them are electrically charged and the other three Higgs bosons are neutral charged. Our analysis based on the Monte Carlo data produced from the simulation of 2HDM with proton antiproton collisions at the Tevatron
= 1.96 TeV (Fermi Lab) and proton proton collisions at the LHC
= 14 TeV (CERN) with final state includes electron, muon, multiple jets and missing transverse energy via the production and decay of the new Higgs in the hard process
where the dominant background (electrons and muons) for this process comes from the Standard Model pro- cesses via the production and decay of top quark pair. We assumed that the branching ratio of charged Higgs boson to tau lepton and neutrino is 100%. We used the Artificial Neural Networks (ANNs) which are an efficient technique to discriminate the signal of charged Higgs boson from the SM background for charged Higgs boson masses between 80 GeV and 160 GeV. Also we calculated the production cross section at different energies, decay width, branching ration and different kinematics distribution for charged Higgs boson and for the final state particles.
Keywords:
2HDM, Neural Networks, Pythia8, MadGraph5, CalcHep, ROOT

1. Introduction
After the new discovery of the Standard Model Higgs boson at CERN’s Large Hadron Collider LHC on 2012 [1] [2] , it is now time to test possible many extensions of the Standard Model (SM) using Monte Carlo simulation techniques and different computational tools of HEP. The Standard Model (SM) does not contain any elementary charged scalar particle; the observation of a charged Higgs boson would indicate new physics beyond the SM. In the Standard Model of the electroweak interactions [3] the masses of both bosons and fermions are explained by the Higgs mechanism [4] . This implies the existence of new one doublet of complex scalar fields which, in turn, leads to a single neutral scalar Higgs boson. One of the simplest ways to extend the scalar sector of the Standard Model is to add one more complex doublet to the model. Some extensions to the Standard Model contain more than one Higgs doublet [5] and predict Higgs bosons which can be lighter than the Standard Model Higgs. The models with two complex Higgs doublets predict two charged Higgs bosons H± which can be pair- produced in proton proton collisions (LHC) and proton antiproton collisions (Tevatron) such these models as Two-Doublet Higgs Model (2HDM) [6] and Minimal SuperSymmetric Model (MSSM). The two Higgs doublet model (2HDM) can provide additional CP-violation coming from the scalar sector and can easily originate dark matter candidates, also the Minimal SuperSymmetric Model (MSSM) predicts two doublet Higgs. The 2HDMs have a richer particle spectrum with two charged and three neutral Higgs Bosons. All neutral Higgs Boson could in principle be the scalar discovered at the LHC [7] -[9] . The SM picks up the ideas of local gauge invariant and SSB to implement a Higgs mechanism. The symmetry breaking is implemented by introducing a scalar doublet

In order to induce the SSB the doublet should acquire a VEV different from zero

The 2HDM introduced a new Higgs doublet so the Higgs sector includes two Higgs doublets with the same quantum numbers.
and 
With hypercharges
both doublets could acquire VEV
and 
In the next section we will present an analysis for signatures of the charged Higgs boson in the range 80 - 160 GeV using top quark pair events with a leptonically decaying in the context of 2HDM using Monte Carlo simulation programs and Artificial Neural Network (ANNs) at the LHC
= 14 TeV with proton-proton collisions (CMS and ATLAS detectors) and the Tevatron
= 1.96 TeV with proton-antiproton collisions (CDF and D0 detectors) with electron, muons, multiple jets and missing transverse energy in the final state. We assumed that the branching ratio of the charged Higgs boson to a τ lepton and a neutrino is 100%.
2. The Analysis
In the 2HDM, the scalar sector has two charged Higgs bosons and three neutral Higgs bosons. In current section we will present the results of Monte Carlo Simulation for production and decay the charged Higgs boson at both the LHC
= 14 TeV and at the Tevatron
= 1.96 TeV.
Our search for charged Higgs bosons is based on the following
final states: the dilepton (ℓℓ) channel where both charged bosons (W+ or H+) decay into a light charged lepton (ℓ = e or μ) either directly or through the leptonic decay of a τ, the τ + lepton (τℓ) channel where one charged boson decays to a light charged lepton and the other one to a τ-lepton decaying hadronically, and the lepton plus jets (ℓ + jets) channel where one charged boson decays to a light charged lepton and the other decays into hadrons.
The charged Higgs boson is expected to produce via the process 









For top quark mass 175 GeV may be a source of charged Higgs production. If kinematically allowed, the top quark can decay to H+b competing with the SM decay
Figure 1. Feynman diagrams for the pair production of 
Figure 2. Production cross section of Charged Higgs boson at the LHC for energies 14, 12, 10, 8 and 6 TeV also at the Tevatron for 1.96 TeV in 2HDM using MadGraph5/Madevent.
2.1. Production Cross Section of H±
In the context of the Two Higgs doublet Model, the charged Higgs boson couplings are specified in terms of the electric charge and the weak mixing angle


The production cross-section thus depends only on the mass










The measurements of top quark pair production cross sections 




The Backgrounds W + jets, and the signal processes are generated with Madgraph5/Madevent and Pythia8. The eµ events are selected by requiring an electron or muon with PT > 10 GeV. As we mentioned above in the abstract section, in this work we search for a charged Higgs boson in the final state includes electron, muon, multiple jets and missing transverse energy via the production and decay of the new Higgs in the hard process
Figure 3. Transverse mass of Production Charged Higgs boson at the LHC at 14 TeV and the Tevatron at 1.96 TeV in 2HDM using MadGraph5, Pythia8.
one isolated electron and at least one isolated muon in produced Monte Carlo events in a cone of radius ∆R = 0.3 around the lepton and we leave the events that do not include the electron and the muon. The leptons are required to be separated from any selected jet by a distance ∆R = 0.5. The invariant mass of electron-muon pair is required to exceed 15 GeV and the electron and the muon are required to have opposite electric charges. The charged Higgs boson production cross section in the Two Higgs Doublet Model is shown as in Figure 2. The search for the fully leptonic final state 






2.2. The Final State
The final state 

2.3. Branching Ratios of H±
From Figure 4, we assume that the charged Higgs boson can decay only to 



Figure 4. Branching ratios of all decay channels of Charged Higgs boson as a function of its mass in 2HDM using CalcHep.
Figure 5. Branching ratio of decay channel BR(t ® H+b) as a function of mass of Charged Higgs boson in 2HDM using CalcHep.
current search we used the leptonic decay channel and explicitly set 


Within the SM, the top quark decay into a W boson and a b quark occurs with almost 100% probability. The 



In the 
2.4. Decay Width of H±
After final event selection, the signature for 



The cylindrical coordinates (r,

beam pipe. The pseudorapidity 



the angle between the particle three-momentum 
The previously published OPAL lower limit on the charged Higgs-boson mass, under the assumption of 





Figure 6. Decay width of the charged higgs boson as a function of its mass.
Figure 7. Definition of pseudorapidity.
hadrons where ℓ = e or μ in [25] and ℓ = e, μ or τ in [26] , see all kinematical distributions of charge Higgs in Figure 8.
2.5. Neural Networks Discrimination
The neural network method used for b-tagging in the OPAL SM Higgs-boson search [27] is used to calculate the discriminating the charged Higgs signal from the SM background. The inputs to the neural network include information about the electrons and the muons as transverse momentum, transverse mass and pseudorapidity. The main background in this search comes from decay of w± to electron and muons. The signal depends on the Higgs-boson masses and is very clean via electron and muon in the event. For purely leptonic events the first two candidates were retained and the rest were neglected as τ particles. For semileptonic events, only the first one was retained as a τ candidate. The resulting samples are completely dominated by background, the contribution of a Higgs signal being at most 0.5%. The statistical analysis is based on weighted event counting, with the weights computed from physical observables, also called discriminating variables of the candidate events. An improved analysis has been designed for the fully leptonic channel where 

In current work we designed an artificial neural network consists of 4 layers Figure 9. The first layer is the input layer and consists of 3 neurons (the neuron is the processing unit), the 3 neuron receive the input variables of a particle to the neural network Figure 10 (Transverse momentum npt, transverse mass nmt and pseudorapidity neta). The second layer is a hidden layer consists of 5 neurons and the third layer also is a hidden layer consists of 3 neurons. The fourth layer is the output layer and consists of one neuron which gives the type of the particle gives 1 for the signal and 0 to the background. We trained and tested the neural network using two samples from the signal and the background and the signal sample consists of two sets, one from the LHC and the
Figure 8. Transverse momentum, transverse energy, transverse mass and pseudorapidity of tau produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV using Pythia8.
Figure 9. Structure of the neural network where input layer consists of 3 neurons (transverse momentum, transverse mass and pseudorapidity), output layer with one neuron and two hidden layers with 8 neurons.
Figure 10. How each variable influences the network (npt is transverse momentum, nmt is the transverse mass and neta is the pseudorapidity).
other from the Tevatron. The events of the signal and the background which we used it are stored in the Tree of ROOT data analysis. Figure 11 and Figure 12 show the final discrimination of Neural Network outputs for decay H± of 120 GeV to electron in final state versus background one lepton, having ET > 10 GeV (electron) or pT > 15 GeV (muon) one τ jet having pT > 25 GeV and an electric charge opposite to that of the lepton. at least two jets having pT > 15 GeV including at least one b-tagged jet. 

which case the neutrinos are likely to carry away more energy
shows a comparison of transverse momentum of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background and Figure 14 show a comparison of transverse energy of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
The composition of the background depends on the targeted Higgs-boson mass region. In the low-mass selection the Higgs bosons are boosted and therefore the final state is electron and muon with the largest background contribution coming from decay of W boson as shown in Figure 1. In some parts of the 2HDM parameter space both the fermionic 

The missing energy and momentum from e.g. tau charged Higgs boson decays are determined with [28] obtained by fulfilling the constraint 




Figure 16 is a comparison of transverse mass of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background and Figure 17 shows the transverse momentum of jets produced in the final state at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background and Figure 18 shows The missing energy at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
Figure 11. Final discrimination of neural network outputs for decay H± of 120 GeV to electron in final state versus background plot (left) at the LHC 14 TeV Plot (right) at Tevatron 1.96 TeV.
Figure 12. Final discrimination of neural network outputs for decay H± of 120 GeV to muon in final state versus background plot (left) at the LHC 14 TeV plot (right) at Tevatron 1.96 TeV.
Figure 13. Comparison of transverse momentum of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
Figure 14. Comparison of transverse energy of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
Figure 15. Comparison of pseudorapidity of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
Figure 16. Comparison of transverse mass of electron and muon produced from decay of charged Higgs at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
Figure 17. Transverse momentum of jets produced in the final state at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
Figure 18. The missing energy at the LHC 14 TeV and at Tevatron 1.96 TeV versus the SM background.
3. Conclusion
We presented the results of a search for charged Higgs bosons ranging from 80 to 160 GeV. This analysis is based on Monte Caro simulation data and new discrimination technique is Artificial Neural Networks (ANNs) in the context of Two Doublet Higgs Model (2HDM) at both the LHC-CERN (ATLAS and CMS detectors) with proton-proton collisions at 



Acknowledgements
It is a pleasure to thank Prof. Torbjorn Sjostrand, Department of Theoretical Physics, Lund University, Lund, Sweden and the main author of Monte Carlo Event Generator (MCEG) Pythia8 for useful discussions.
Cite this paper
NadyBakhet,Maxim YuKhlopov,TarekHussein,11, (2016) Neural Networks Search for Charged Higgs Boson in Two Doublet Higgs Model at the Hadrons Colliders. Open Journal of Microphysics,06,1-14. doi: 10.4236/ojm.2016.61001
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NOTES
*Corresponding author.
























