Simulation study of Z_{\mathrm{H}}A_{\mathrm{H}} mode in Littlest Higgs Model with T-Parity

Simulation study of mode in Littlest Higgs Model with T-Parity

Tomonori Kusano, Eri Asakawa, Masaki Asano, Keisuke Fujii, Shigeki Matsumoto,
Rei Sasaki, Yosuke Takubo and Hitoshi Yamamoto
Department of Physics, Tohoku University, Sendai, Japan
Institute of Physics, Meiji Gakuin University, Yokohama, Japan
Institute for Cosmic Ray Research (ICRR), University of Tokyo, Kashiwa, Japan
High Energy Accelerator Research Organization (KEK), Tsukuba, Japan
Department of Physics, University of Toyama, Toyama, Japan


We investigate a possibility to measure parameters of the Littlest Higgs model with T-parity at the ILC with GeV. The model predicts new gauge bosons (, , and ), among which the heavy photon () is a candidate for dark matter. Through Monte Carlo simulations of the process of , we show that the masses can be determined with accuracies of 16.2% for and 4.3% for . In additionally, the vacuum expectation value can be determined with accuracies of 4.3%.

1 Introduction

The Littlest Higgs Model with T-parity is one of the attractive candidates for physics beyond the Standard Model because it solves both the little hierarchy and dark matter problems simultaneously. One of the important predictions of the model is the existence of new heavy gauge bosons, where they acquire mass terms through the breaking of the global symmetry necessarily imposed on the model. The precise measurements of their masses allow us to determine the most important parameter of the model, namely the vacuum expectation value of the breaking.

At the Large Hadron Collider (LHC), it is difficult to determine the properties of heavy gauge bosons, because they have no color charge [2]. On the other hand, the ILC will provide an ideal environment to measure the properties of heavy gauge bosons. Heavy gauge bosons are expected to be produced in a clean environment at the ILC, which enables us to determine their properties precisely. We study the sensitivity of the measurements to the masses of heavy gauge bosons and the vacuum expectation value at the ILC based on a realistic Monte Carlo simulation.

2 Simulation framework

In order to perform a numerical simulation, we need to choose a representative point in the parameter space of the Littlest Higgs model with T-parity. Firstly, the model parameters should satisfy the experimental results of the precise measurements on the electroweak parameters [3]. In addition, the cosmological observation of dark matter relics also gives important information. For that reason, we consider not only the electroweak precision measurements but also the WMAP observation [4] to choose a point in the parameter space. At selected representative point, the vacuum expectation value() is 580 GeV, and the masses of the heavy gauge boson are 81.9 GeV and 369 GeV for and , respectively.

Figure 1: Diagram for signal process.

Because sum of and is less than 500 GeV, and can be generated through the process at GeV. Feynman diagram for the signal process is shown in Fig. 1.  decays into with almost 100% branching fractions.

We have used MadGraph [5] to generate signal events of the Little Higgs model, while Standard Model events have been generated by Physsim [6]. Initial-state radiation and beamstrahlung have not been included in the event generations. We have ignored the finite crossing angle between the electron and positron beams. In both event generations, helicity amplitudes were calculated using the HELAS library [7], which allows us to deal with the effect of gauge boson polarizations properly. Phase space integration and the generation of parton 4-momenta have been performed by BASES/SPRING [8]. Parton showering and hadronization have been carried out by using PYTHIA6.4 [9], where final-state tau leptons are decayed by TAUOLA [10] in order to handle their polarizations correctly.

The generated Monte Carlo events have been passed to a detector simulator called JSFQuickSimulator, which implements the GLD geometry and other detector-performance related parameters [11].

3 Analysis

The simulation has been performed at 500 GeV with an integrated luminosity of 500 fb. The heavy gauge bosons,  and  , are produced with the cross section of 1.9 fb. Since  decays into  and the Higgs boson, the signature is a single Higgs boson in the final state, mainly 2 jets from (with a 55% branching ratio). We, therefore, define  as our signal event. For background events, contribution from light quarks was not taken into account because such events can be rejected to negligible level after requiring the existence of two -jets, assuming a -tagging efficiency of 80% for -jets with 15% probability to misidentify a -jet as a -jet. This -tagging performance was estimated by the full simulation assuming a typical ILC detector. Signal and background processes considered in this analysis are summarized in Table 1.

Process Cross sec. [fb] # of events
generated after all cuts
1.05 525 272
34.0 17,000 3,359
5.57 2,785 1,406
496 248,000 264
25.5 12,750 178
44.3 22,150 167
1,200 600,000 45
Table 1: Signal and backgrounds processes.

The clusters in the calorimeters are combined to form a jet if the two clusters satisfy . is defined as


where is the angle between momenta of two clusters, are their energies, and is the total visible energy. All events are forced to have two jets by adjusting . We have selected events with the reconstructed Higgs mass in a window of 100-140 GeV. In order to suppress the  background, the transverse momentum of the reconstructed Higgs bosons () is required to be above 80 GeV. This is because the Higgs bosons coming from the fusion process, which dominates the  background, have  mostly below W mass. Finally, multiplying the efficiency of double -tagging (), we are left with 272 signal and 5,419 background events as shown in Table 1, which corresponds to a signal significance of 3.7 () standard deviations. The indication of the new physics signal can hence be obtained at GeV.

The  and  boson masses can be estimated from the edges of the distribution of the reconstructed Higgs boson energies. This is because the maximum and minimum Higgs boson energies ( and ) are written in terms of these masses,


where is the factor of the  boson in the laboratory frame, while is the energy (momentum) of the Higgs boson in the rest frame of the  boson. Note that is given as .

Figure 2: (a) Energy distribution of the reconstructed Higgs bosons with remaining backgrounds after the selection cuts. (b) Energy distribution of the Higgs bosons after subtracting the backgrounds. The distribution is fitted by a line shape function determined with a high statistics signal sample. (c)Probability contour corresponding to 1- and 2- deviations from the best fit point in the  and  mass plane. The shaded area in shows the unphysical region of GeV.

Figure 2(a) shows the energy distribution of the reconstructed Higgs bosons with remaining backgrounds. We obtained the signal distribution after subtracting backgrounds as shown in Fig.2(b). The endpoints, and , have been derived by fitting the distribution with a line shape function which was determined by a high statistics signal sample. The fit resulted in and being GeV and GeV, respectively, which should be compared to their true values: 81.85 GeV and 368.2 GeV. Figure 2(c) shows the probability contour for the masses of  and  . Since the masses of the heavy gauge bosons depend on the vacuum expectation value, can be determined by measurement of the gauge boson masses. We obtained GeV. The input value of is 580 GeV in our simulation study.

4 Summary

At the ILC with GeV, it is possible to produce   and  bosons with a signal significance of 3.7-sigma level. By using the energy distribution of the Higgs bosons from the  decays, the masses of these bosons can be determined with accuracies of 16.2% for and 4.3% for . From the results, it turns out that the vacuum expectation value can be determined with accuracy of 4.3%. The details on this analysis can be found in [12].

5 Acknowledgments

We would like to thank all the members of the ILC physics subgroup [13] for useful discussions. They are grateful to the Minami-tateya group for the help extended in the early stage of the event generator preparation. This work is supported in part by the Creative Scientific Research Grant (No. 18GS0202) of the Japan Society for Promotion of Science and the JSPS Core University Program.


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