-
The two scalar doublets are used to acquire masses for gauge bosons and fermions after having their vacuum expectation values (VEVs). The Lagrangian is given by:
$ \begin{aligned} \mathcal{L}_{2HDM}= \mathcal{L}_{SM}+\mathcal{L}_{Scalar}+\mathcal{L}_{Yukawa} \end{aligned} $
(1) Where
$ \mathcal{L}_{Scalar} $ is the Lagrangian for two scalar doublets including kinetic blueenergy and scalar potential terms. The$ Z_{2} $ symmetry is involved to ignore the Flavour Changing Neutral currents (FCNCs), then the transformation for even,$ \Phi_{1}\rightarrow +\Phi_{1} $ , and for odd is$ \Phi_{2}\rightarrow -\Phi_{2} $ . To keep$ \mathcal{L}_{Yukawa} $ invariant for fermions under$ Z_{2} $ -symmetry the fermions are coupled with one scalar field:$ \begin{aligned} \mathcal{L}_{Yukawa}=-\bar{Q}_{L}Y_{u}\tilde{\Phi}_{u}u_{R}-\bar{Q}_{L}Y_{d}\Phi_{d}d_{R}-\bar{L}_{L}Y_{\ell}\Phi_{\ell}\ell_{R}+h.c \end{aligned} $
(2) In Equation 2 the
$ \Phi_{u,d,\ell} $ is either$ \Phi_{1} $ or$ \Phi_{2} $ , so based on the discrete symmetry of fermions the 2HDM is classified into four types called Type-I, II, III, and IV. The review for this relevant study is discussed here for$ \mathcal{CP} $ -conserving 2HDM. If we assume that in the 2HDM the electromagnetic gauge symmetry is present to perform$ SU(2) $ rotation on two doublets for alignment of VEVs of two doublets with$ SU(2) $ and the$ v=246\; GeV $ will occupy one neutral Higgs doublet [13]. The two complex doublets$ \Phi_{1} $ from SM and$ \Phi_{2} $ from EW symmetry-breaking are used to construct the 2HDM. The scalar potential under the$ SU(2)_{L}\; \otimes\; U(1)_{Y} $ invariant gauge group is defined as$ \begin{aligned}[b] V_{2HMD} =\;& m^{2}_{1}|\Phi_{1}|^{2}+m^{2}_{2}|\Phi_{2}|^{2}-\biggl[m^{2}_{12}(\Phi^{\dagger}_{1}\Phi_{2})+h.c]\\&+\dfrac{\lambda_{1}}{2}(\Phi^{\dagger}_{1}\Phi_{2})^{2}+\dfrac{\lambda_{2}}{2}(\Phi^{\dagger}_{2}\Phi_{1})^{2}\\&+\lambda_{3}(\Phi^{\dagger}_{1}\Phi_{1})(\Phi^{\dagger}_{2}\Phi_{2})+\lambda_{4}(\Phi^{\dagger}_{1}\Phi_{2})(\Phi^{\dagger}_{2}\Phi_{1})\\&+\biggl[\dfrac{\lambda_{5}}{2}(\Phi^{\dagger}_{1}\Phi_{2})^{2}+\lambda_{6}(\Phi^{\dagger}_{1}\Phi_{1})(\Phi^{\dagger}_{1}\Phi_{2})\\&+\lambda_{7}(\Phi^{\dagger}_{1}\Phi_{2})(\Phi^{\dagger}_{2}\Phi_{2})+h.c] \end{aligned} $
(3) In the above Equation 3 the quartic coupling parameters are
$ \lambda_{i} $ $ (i=1,2,3...,7) $ and the complex two doublets are$ \Phi_{i} \; (i=1,2) $ . Hermiticity of the potential forces$ \lambda_{1,2,3,4} $ to be real while$ \lambda_{5,6,7} $ and$ m^{2}_{12} $ can be complex. The Paschos-Glashow-Weinberg theorem suggests that a discrete$ Z_{2} $ -symmetry can explain certain low-energy observables [14, 15]. Utilizing this symmetry is crucial to effectively prevent any possibility of FCNCs occurring at the tree level. The$ Z_{2} $ -symmetry requires that$ \lambda_{6}=\lambda_{7}=0 $ and also$ m^{2}_{12}=0 $ . If this is not allowed, i.e.,$ m^{2}_{12} $ is non-zero, then the$ Z_{2} $ -symmetry is softly broken for the translation of$ \Phi_{1}\rightarrow +\Phi_{1} $ and$ \Phi_{2}\rightarrow -\Phi_{2} $ . The$ Z_{2} $ assignments produce four 2HDM-types as mentioned earlier [16, 17]. Table 1 demonstrates how fermions bind to each Higgs doublet in the permitted kinds when flavor conservation is naturally observed.Type $ u_{i} $ $ d_{i} $ $ \ell_{i} $ I $ \Phi_{2} $ $ \Phi_{2} $ $ \Phi_{2} $ II $ \Phi_{2} $ $ \Phi_{1} $ $ \Phi_{1} $ III $ \Phi_{2} $ $ \Phi_{2} $ $ \Phi_{1} $ IV $ \Phi_{2} $ $ \Phi_{1} $ $ \Phi_{2} $ Table 1. In 2HDMs with
$ Z_{2} $ -symmetry, Higgs doublets$ \Phi_{1} $ ,$ \Phi_{2} $ couple to u-type and d-type quarks, as well as charged leptons.This work focuses only on Type-I and Type-II 2HDM whereas in Type-I only
$ \Phi_{2} $ doublet interacts with both quarks and leptonblues similarly as SM. In Type-II the$ \Phi_{1} $ couples with d-type quarks and leptons while the$ \Phi_{2} $ with only u-type quarks.After electroweak symmetry breaking of
$ SU(2)_{L}\; \otimes\; U(1)_{Y} $ , the scalar doublet's neutral components get VEV to be$ v_{j} $ .$ \begin{aligned} \Phi_{j}= \begin{pmatrix} \phi^+_{j}\\ \dfrac{1}{\sqrt{2}}(v_{j}+\rho_{j}+\dot\iota\eta_{j}) \end{pmatrix}\; ,\; \; \; \; \; \; \; \; (j=1,2) \end{aligned} $
(4) where
$ \rho_{j} $ and$ \eta_{j} $ are real scalar fields. The quartic coupling parameters$ \lambda_{1}-\lambda_{5} $ and mass terms$ m^{2}_{1} $ ,$ m^{2}_{2} $ are considered as physical masses of$ m_{h},m_{H},m_{A},m_{H^{\pm}} $ with$ \tan\beta=\dfrac{v_{1}}{v_{2}} $ and mixing term$ \sin(\beta-\alpha) $ . After$ Z_{2} $ -symmetry is broken softly, the parameter$ m^{2}_{12} $ is given by$ \begin{aligned} m^{2}_{12}= \dfrac{1}{2}\lambda_{5}v^{2}\sin(\beta-\alpha)\cos(\beta-\alpha)=\dfrac{\lambda_{5}}{2\sqrt{2}G_{F}}\biggl(\dfrac{\tan\beta}{1+\tan^{2}\beta}) \end{aligned} $
(5) where the last equality is only for the tree level. By considering
$ \lambda_{6} $ and$ \lambda_{7} $ equal to zero concerning$ Z_{2} $ -symmetry,$ m^{2}_{12} $ ,$ \tan\beta $ and mixing angle$ \alpha $ with four Higgs masses, it} is enough to compute a complete model on a physical basis. So, with all this, there are seven independent free parameters to explain the Higgs sector in 2HDM. The terms$ m^{2}_{1} $ and$ m^{2}_{2} $ are given in the form of other parameters:$ \begin{aligned} m^{2}_{1}=m^{2}_{12}\dfrac{v_{2}}{v_{1}}-\dfrac{\lambda_{1}}{2}v^{2}_{1}-\dfrac{1}{2}(\lambda_{3}+\lambda_{4}+\lambda_{5})v^{2}_{2} \end{aligned} $
(6) $ \begin{aligned} m^{2}_{2}=m^{2}_{12}\dfrac{v_{1}}{v_{2}}-\dfrac{\lambda_{1}}{2}v^{2}_{1}-\dfrac{1}{2}(\lambda_{3}+\lambda_{4}+\lambda_{5})v^{2}_{2} \end{aligned} $
(7) The phenomenology is dependent upon the mixing angle with angle
$ \beta $ . In the limit where$ \mathcal{CP} $ -even Higgs boson$ h^{0} $ acts like SM Higgs then it approaches the alignment limit, which is most favored by experimentalists if$ \sin(\beta-\alpha)\rightarrow 1 $ or$ \cos(\beta-\alpha)\rightarrow 0 $ . The$ H^{0} $ acts as gauge-phobic such that its coupling with vector bosons$ Z/W^{\pm} $ is much more suppressed, but when$ \cos(\beta-\alpha)\rightarrow1 $ the$ H^{0} $ acts SM-like Higgs boson. For the decoupling limits$ \cos(\beta-\alpha)=0 $ and$ m_{H^{0}, A^{0}, H^{\pm}}>>m_{Z} $ so at this limit$ h^{0} $ interacts with SM particles completely appears like the couplings of the SM Higgs boson that contain coupling$ 3h^{0} $ . -
The theoretical restrictions of potential unitarity, stability, and perturbativity compress the parameter space of the scalar 2HDM potential. The vacuum stability of the 2HDM limits the
$ V_{2HDM} $ . Specifically,$ V_{2HDM} \geq 0 $ needs to be met for all$ \Phi_{1} $ and$ \Phi_{2} $ directions. As a result, the following criteria are applied to the parameters$ \lambda_{i} $ [18, 19]$ \begin{aligned} \lambda_{1}>0\; \; ,\; \; \lambda_{2}>0\; \; ,\; \; \lambda_{3}+\sqrt{\lambda_{1}\lambda_{2}}+Min(0,\lambda_{4}-|\lambda_{5}|)>0 \end{aligned} $
(8) Another set of constraints enforces that the perturbative unitarity needs to be fulfilled for the scattering of longitudinally polarized gauge and Higgs bosons. Besides, the scalar potential needs to be perturbative by demanding that all quartic coefficients satisfy
$ |\lambda_{1,2,3,4,5} | \leq 8\pi $ . The global fit to EW requires$ \Delta\rho $ to be$ \mathcal{O}(10^{-3}) $ [20]. This prevents substantial mass splitting between Higgs boson in 2HDM and requires that$ m_{H^{\pm}} \approx m_{A}, m_{H} $ or$ m_{h} $ .Aside from the theoretical restrictions mentioned above, 2HDMs have been studied in previous and continuing experiments, such as direct observations at the LHC or indirect B-physics observables. As a consequence, numerous findings have been amassed since then, and the parameter space of the 2HDM is now constrained by all results obtained. In the Type-I of 2HDM, the following pseudoscalar Higgs mass regions: 310
$ \le m_{A} \le $ 410 GeV for$ m_{H} $ = 150 GeV, 335$ \le m_{A} \le $ 400 GeV for$ m_{H} $ = 200 GeV, and 350$ \le m_{A} \le $ 400 GeV for$ m_{H} $ = 250 GeV with$ \tan\beta = 10 $ have been excluded by the LHC experiment [21]. Furthermore, the$ \mathcal{CP}- $ odd Higgs mass is bounded as$ m_{A} \ge $ 350 GeV for tan$ \beta \le $ 5 [22] and the mass range 170$ \le m_{H} \le $ 360 GeV with tan$ \beta \le $ 1.5 is excluded for the Type-I [23].The
$ H^{\pm} $ mass is constrained by experiments at the LHC and prior colliders, as well as B-physics observables. The BR($ b\rightarrow s\gamma $ ) measurement limits the charged Higgs mass in Type-II and IV 2HDM with$ m_{H^{\pm}} \geq $ 580 GeV for tan$ \beta\geq $ 1 [24, 25]. On the other hand, the bound is significantly lower in Type-I and III of 2HDM [26]. With tan$ \beta\geq $ 2, the$ H^{\pm} $ in Type-I and III of 2HDM can be as light as 100 GeV [27, 28] while meeting LEP, LHC, and B-physics constraints [29−33]. -
In our study, we concentrate on electron-positron (
$ e^+e^- $ ) collisions, where the center-of-mass energy, represented as √s, is crucial to understanding these interactions. Notably, during these collisions, photons can be emitted due to bremsstrahlung effects and other mechanisms. These emitted photons may subsequently engage in interactions that mimic photon-photon ($ \gamma\gamma $ ) collisions. While such photon interactions can facilitate the production of additional particles, their energy levels are often unpredictable, making them less controllable than the highly precise and defined energy present in$ e^+e^- $ collisions. Therefore, our analysis primarily emphasizes the controlled conditions offered by electron-positron collisions, while also acknowledging the potential contributions of radiated photons to particle production.We have taken three scenarios [12]: non-alignment, short cascade, and low-
$ m_{H} $ . All of these are taken for$ \mathcal{CP}- $ even scalar of mass$ 125\; GeV $ and couplings are well arranged with observed Higgs boson. The additional Higgs boson searches leave a considerable portion of their parameter space unconstrained, emphasizing the need for further investigation. Validation of potential stability, perturbativity, and unitarity for each BP was performed using$ \mathtt{2HDMC\;1.8.0} $ [34].These benchmark situations, shown in Table 2, are created using a hybrid approach, where the input parameters are specified as
$ (m_{h},m_{H}, \cos(\beta-\alpha), \tan\beta, Z_{4}, Z_{5}, Z_{7}) $ with softly broken 2HDM of$ Z_{2}- $ symmetry, where the$ Z_{4,5,7} $ are quartic couplings in Higgs basis of$ \mathcal{O} $ (1). The mass of charged Higgs and pseudoscalar Higgs in this basis is obtained as:}Scenario $ {\bf{{m_{h^{0}}}}} $ [GeV]$ {\bf{{m_{H^{0}}}}} $ [GeV]$ {\bf{{c_{\beta-\alpha}}}} $ $ {\bf{Z_{4}}} $ $ {\bf{Z_{5}}} $ $ {\bf{Z_{7}}} $ $ {\bf{{t_{\beta}}}} $ BP-1 125 150...600 0.1 −2 −2 0 1...20 BP-2 125 250...500 0 −1 1 −1 2 BP-3 125 250...500 0 2 0 −1 2 BP-4 65...120 125 1.0 −5 −5 0 1.5 Table 2. A set of benchmark scenario input parameters that may be utilized to actualize the 2HDM in Hybrid Basis.
$ \begin{aligned} Z_i=\frac{1}{4}s^2_{2\beta}[\lambda_1 + \lambda_2 - 2 \lambda_345]+\lambda_i \end{aligned} $
(9) where i=3,4 or 5
$ \begin{aligned} Z_6=-\frac{1}{2}s_{2\beta}[\lambda_1 c^2_\beta - \lambda_2 s^2_\beta - \lambda_{345}c_{2\beta} ] \end{aligned} $
(10) $ \begin{aligned} Z_7=-\frac{1}{2}s_{2\beta}[\lambda_1s^2_\beta - \lambda_2 c^2_\beta + \lambda_{345}c_{2\beta}] \end{aligned} $
(11) where
$ \lambda_{345}=\lambda_3+\lambda_4+\lambda_5 $ . Since there are five nonzero$ \lambda_i $ and seven nonzero$ Z_i $ , there must be two relations$ \begin{aligned} m^{2}_{A^{0}}= m^{2}_{H^{0}}s^{2}_{\beta-\alpha}+m^{2}_{h^{0}}c^{2}_{\beta-\alpha}-Z_{5}v^{2} \end{aligned} $
(12) $ \begin{aligned} m^{2}_{H^{\pm}}=m^{2}_{A^{0}}-\dfrac{1}{2}(Z_{4}-Z_{5})v^{2} \end{aligned} $
(13) -
We consider a scenario characterized by non-alignment (specifically
$ (c_{\beta - \alpha} \ne 0) $ . This scenario emphasizes the search for the heavier CP-even Higgs state, (H), in Standard Model final states, including the decay$ (H \rightarrow hh) $ . The other two Higgs bosons, (A) and$ (H^\pm) $ (which are assumed to be mass-degenerate), are sufficiently decoupled to establish a small hierarchy: ($ m_h = 125\; GeV \le m_H \le m_A = m_{H^\pm}) $ . For$ (m_H\; >\; 150\; GeV) $ , this setup can be realized by choosing$ (Z_4 = Z_5 = -2) $ , resulting in$ (m_{H^{\pm}}) $ values that comply with the$ (b \rightarrow s\gamma) $ constraint in Type-II models. The value of$ (c_{\beta - \alpha}) $ is fixed close to the maximum allowed by LHC Higgs constraints:$ (c_{\beta - \alpha} = 0.1) $ for Type-I couplings and$ (c_{\beta - \alpha} = 0.01) $ for Type-II couplings. As a result, we treat$ (m_H) $ and (tan$ \beta) $ as free parameters. These choices lead to an excellent fit for light Higgs signal rates over a substantial region of the (($ m_H $ , tan$ \beta $ ) parameter space. -
Both h and heavy Higgs H are light in the low-
$ m_{H} $ , but$ m_{H}=125 $ GeV behaves like SM. For$ s_{\beta-\alpha}\rightarrow 0 $ limit compatibility, the lighter CP-even higgs boson must have a highly suppressed coupling to the vector bosons, as$ m_{h}<m_{H} $ . Since the hybrid quartic basis$ Z_{4}=Z_{5}=-5 $ is consistent with the restrictions from (flavor physics) light-charged Higgs boson of the order of$ m_{H} $ , especially in Type-II couplings, it is used to decouple the other two Higgs states, A and$ H^{\pm} $ . Searches$ h\rightarrow bb, \tau^+ \tau^- $ at the LHC confine the parameter space for$ 90 < m_{h}< 120 $ GeV, resulting in an upper bound on$ tan\beta $ that depends weakly on limit$ c_{\beta-\alpha}<<1 $ . In this study, we are concerned with tan$ \beta=1.5 $ as a function of$ m_{h} $ , and we fix it with$ c_{\beta-\alpha}=1 $ . -
By setting
$ c_{\beta-\alpha} $ to zero for the precise alignment, we take into account a brief cascade scenario. The$ H \rightarrow ZA $ or$ H\rightarrow W^{\pm}H^{\mp} $ decay mode can be obtained by altering the mass hierarchy, which can be dominant in the mass window of 250 GeV$ <m_{H}< $ 350 GeV and causes a "small cascade" of Higgs-to-Higgs decay. Degeneracies for hybrid basis$ Z_{4}, Z_{5} $ are chosen properly, and two of the three non-SM-like Higgs masses are chosen to be identical by fixing tan$ \beta=2 $ for a single free parameter space. The hybrid basis choice of$ Z_{4}=-1 $ and$ Z_{5}=1 $ may be used to achieve the low$ -m_{A} $ case. For$ m_{h} $ near 250 GeV, the decay$ H\rightarrow AA $ can be open with a rate that can be varied by adjusting$ Z_{7} $ , which in this instance is$ Z_{7}=-1 $ that satisfies stability criteria. With all other parameters held constant,$ Z_{4}=2 $ and$ Z_{5}=0 $ can be chosen to create a mass hierarchy$ m_{H^{\pm}}\; <\; m_{A}\; =\; m_{H} $ . For very low$ m_{H^{\pm}} $ , this condition results in novel decay modes$ H\rightarrow W^{\pm}H^{\mp} $ , where$ H\rightarrow H^{+}H^{-} $ .The mass hierarchy is considered for these benchmark points along with the type of the 2HDMs, shown in Table 3. In Table 2,
$ t_{\beta}=\tan\beta $ and$ c_{\beta-\alpha}=\cos(\beta-\alpha) $ .Scenarios BP's 2HDM-Type Mass Hierarchy Non-alignment BP-1 I $ m_{H^{0}}<m_{H^{\pm}}=m_{A^{0}} $ Short Cascade BP-2 I $ m_{A^{0}}<m_{H^{\pm}}=m_{H^{0}} $ Short Cascade BP-3 I $ m_{H^{\pm}}<m_{A^{0}}=m_{H^{0}} $ Low- $ {\bf{{m_{H}}}} $ BP-4 II $ m_{h^{0}}<m_{H^{\pm}}=m_{A^{0}} $ Table 3. Mass hierarchy for BP's with 2HDM types used in calculations of cross-section and decay width of charged Higgs.
-
Analytical formulations of the cross-section of the
$ e^{+} e^{-} $ collider for charged Higgs pair generation are presented in this section. The process used in this paper is given as:$ \begin{aligned} \gamma(k_{1},\mu)\; \; \gamma(k_{2},\nu) \longrightarrow H^+(k_{3})\; \; H^-(k_{4}) \end{aligned} $
(14) where
$ k_{a}(a=1,....,4) $ represents the four momenta. Three different diagrams at the tree level are topologically distinct because of photon couplings as shown in Figure 1. The total Feynman amplitude is given by:$ \begin{aligned} \mathcal{M}=\mathcal{M}_{\hat{q}}+\mathcal{M}_{\hat{t}}+\mathcal{M}_{\hat{u}} \end{aligned} $
(15) where
$ \mathcal{M}_{\hat{q}},\mathcal{M}_{\hat{t}} $ and$ \mathcal{M}_{\hat{u}} $ are amplitudes of quartic couplings, t-channel, and u-channel Feynman diagrams respectively. The relations for these channels are given as follows:$ \begin{aligned} \mathcal{M}_{\hat{q}}=2\dot{\iota}e^{2}g^{\mu\nu}\epsilon_{\mu}(k_{1})\epsilon_{\nu}(k_{2}) \quad \end{aligned} $
(16) $ \begin{aligned} \mathcal{M}_{\hat{t}}=\dfrac{\dot{\iota}e^{2}}{\hat{t}-m^{2}_{H^+}}(k_{1}-2k_{4})^{\nu}\epsilon_{\nu}(k_{2})(k_{2}+k_{3}-k_{4})^{\mu}\epsilon_{\mu}(k_{1}) \end{aligned} $
(17) $ \begin{aligned} \mathcal{M}_{\hat{u}}=\dfrac{-\dot{\iota}e^{2}}{\hat{u}-m^{2}_{H^+}}(k_{1}-2k_{4})^{\mu}\epsilon_{\mu}(k_{1})(k_{1}+k_{3}-k_{4})^{\nu}\epsilon_{\nu}(k_{2}) \end{aligned} $
(18) where the Mandelstam variables are represented by
$ \hat{t}=(k_{1}-k_{3})^{2} $ and$ \hat{u}=(k_{2}-k_{4})^{2} $ . After calculating the square of the total amplitude and summing all the foregoing matrices yields the lowest order amplitude.$ \begin{aligned} M=\sum_{i=1}^{3} M_i \end{aligned} $
(19) The scattering amplitude is calculated numerically in the center of the mass frame, where the four-momentum and scattering angle are indicated by
$ (k,\theta) $ . In the center of mass energy, the energy$ (k^{0}_{i}) $ and momentum$ (\overrightarrow{k}_{i}) $ of incoming and outgoing particles are:$ \begin{aligned} k_{1}=\dfrac{\sqrt{s}}{2}(1,0,0,1)\; \; \; \; ,\; \; \; \; k_{2}=\dfrac{\sqrt{s}}{2}(1,0,0,-1) \end{aligned} $
(20) $ \begin{aligned} k_{3}=(k^{0}_{3},|\overrightarrow{k}|\sin\theta,0,|\overrightarrow{k}|\cos\theta) \quad \end{aligned} $
(21) $ \begin{aligned} k_{4}=(k^{0}_{4},-|\overrightarrow{k}|\sin\theta,0,-|\overrightarrow{k}|\cos\theta) \quad \end{aligned} $
(22) $ \begin{aligned} k^{0}_{3}=\dfrac{s+m^{2}_{i}-m^{2}_{j}}{2\sqrt{s}}\; \; \; \; \; \; ,\; \; \; \; k^{0}_{4}=\dfrac{s+m^{2}_{j}-m^{2}_{i}}{2\sqrt{s}} \end{aligned} $
(23) $ \begin{aligned} |\overrightarrow{k}|=\dfrac{\lambda(s,m^{2}_{H^+},m^{2}_{H^-})}{\sqrt{s}} \quad \end{aligned} $
(24) where
$ m^{2}_{i} $ is the mass of relevant particles. The cross-section is calculated by taking the flux of incoming particles and the integral over the phase space of outgoing particles is given by:$ \begin{aligned} \hat{\sigma}_{\gamma\gamma\rightarrow H^+H^-}(s)= \dfrac{\lambda(s,m^{2}_{H^+},m^{2}_{H^-})}{16\pi s^{2}}\sum_{pol}|M|^{2} \end{aligned} $
(25) In above expression, the
$ \lambda(s,m^{2}_{H^{+}},m^{2}_{H^{-}}) $ is the K$ \ddot{a} $ llen function relevant to phase space of outgoing$ H^{\pm} $ . The total integrated cross section for the$ e^{+}e^{-} $ -collider could be calculated by:$ \begin{aligned} \sigma(s)=\int^{x_{max}}_{x_{min}} \hat{\sigma}_{\gamma\gamma\rightarrow H^+H^-}(\hat{s};\hat{s}=z^{2}s)\dfrac{dL_{\gamma\gamma}}{dz}dz \end{aligned} $
(26) where s and
$ \hat{s} $ are the C.M. energy in$ e^{+}e^{-} $ -collider and subprocess of$ \gamma\gamma $ , respectively. The value of$ x_{min} $ represents the minimum amount of energy needed to generate a pair of charged Higgs particles and is given by$ x_{min}=(m_{H^{+}}+m_{H^{-}})/\sqrt{s} $ , where the$ x_{max} $ is 0.83 [35]. The distribution function of the photon luminosity is:$ \begin{aligned} \dfrac{dL_{\gamma\gamma}}{dz}=2z\int^{x_{max}}_{x_{min}}\dfrac{dx}{x}F_{\gamma/e}(x)F_{\gamma/e}\biggl(\dfrac{z^{2}}{x} ) \end{aligned} $
(27) The energy spectrum of Compton back-scattered photons,
$ F_{\gamma/e}(x) $ is characterized by the electron beam's longitudinal momentum [35]. -
The numerical results of generating charged Higgs boson via photon-photon collisions are thoroughly examined in the context of 2HDM including QED radiations. Cross sections at the tree level are calculated numerically for each benchmark scenario as a function of the C.M. energy and the Higgs boson mass. Polarization distributions are presented to improve the production rate by considering longitudinal polarizations of initial beams. Decay pathways of the charged Higgs boson are under study for relevant scenarios.
In our work, for analytical and numerical evaluation, we have used
$ \mathtt{MadGraph5\;v3.4.2} $ [36] for the calculations of the cross-sections, and$ \mathtt{2HDMC\;1.8.0} $ [37] for the branching ratio and total decay width. The$ \mathtt{GnuPlot} $ [38] is used for the graphical plotting.In an electron-positron e-e+ collider, the longitudinally polarized beam cross-section can be expressed as
$ \begin{aligned}[b] \sigma_{P_{e^+},P_{e^-}} =\;& \frac{1}{4} \{( 1 + P_{e^+} ) ( 1 + P_{e^-}) \sigma_{RR} + ( 1 - P_{e^+} ) ( 1 - P_{e^-} ) \sigma_{LL} \\& + ( 1 + P_{e^+} ) ( 1 - P_{e^-} ) \sigma_{RL} + ( 1 - P_{e^+} ) ( 1 + P_{e^-} ) \sigma_{LR}\} \end{aligned} $
(28) In electron-positron e-e+ colliders, beam polarization configurations are crucial for optimizing the experimental conditions and enhancing the detection of specific processes, referring to the orientation of the spins of the colliding particles, which can be manipulated to improve the signal-to-background ratio in particle interactions. There are primarily two types of polarization configurations used in e-e+ colliders: Longitudinal Polarization, where both the electron and positron beams are polarized along the direction of the beam (longitudinally), either parallel or antiparallel, leading to typical configurations such as Right-Right (RR) where both beams are right-polarized, Left-Left (LL) where both beams are left-polarized, Right-Left (RL) where the electron beam is right-polarized and the positron beam is left-polarized, and Left-Right (LR) where the electron beam is left-polarized and the positron beam is right-polarized; notably, the RL and LR configurations are particularly advantageous in the context of the Standard Model, as they help enhance the production rate of certain particles, such as the Higgs boson and Z boson while minimizing unwanted background processes. The second configuration, Transverse Polarization, involves polarizing the beams perpendicular to the beam direction (not the case here), which, although less commonly used than longitudinal polarization, can provide benefits in specific scattering processes or studies of the spin structure of particles. As in Figure 2 the cross-section for the process
$ \gamma\gamma\rightarrow H^{+}H^{-} $ is shown for the C.M energy of 3 TeV for three types of polarization; right handed$ RR $ ($ ++ $ ), oppositely-polarized$ RL $ ($ +- $ ) and unpolarized beam$ UU $ . The cross-section is the same for the polarization modes of$ \sigma^{+-}=\sigma^{-+} $ . In Figure 2 it can be seen that the cross-section is higher for$ UU $ and$ RR $ for low$ \sqrt{s} $ and gradually decreases. But for the$ RL $ mode of polarization, the cross-section reaches a peak value and then gradually decreases. As we can see the cross-section is not enhanced for$ RR $ and$ UU $ at higher energies but it does only for$ RL $ .Figure 2. (color online) Integrated cross-section for
$ \gamma\gamma\rightarrow H^{+}H^{-} $ as a function of$ \sqrt{s} $ for BP-1 in (a) and BP-2 in (b), respectivelyIn Figure 3 for both BPs, the cross-section changes slowly with the mass of
$ h^{0} $ and$ H^{0} $ because of the small range of charged Higgs mass. For both$ UU $ and$ RR $ modes of polarization the cross-section decreases with C.M energy and for$ RL $ mode it reaches a peak value and then decreases. The cross-section$ \sigma $ decreases for$ \sqrt{s} $ when$ m_{H^{\pm}}<<\sqrt{s}/2 $ . -
An integrated ROOT framework for parallel running and computation of several multivariate categorization algorithms is called the “Toolkit for Multivariate Analysis” [39], which categorizes using two sorts of events: signal and background. TMVA especially has many applications in high energy physics for the complex multiparticle final state. To train the classifiers, a set of events with well-defined event types is inserted into the Factory. The event samples for signal and background can either be read using a tree-like structure or a plain text file using a defined structure. All variables that are supposed to separate signal and background events must be known by the Factory. Cuts are applied on signal and background trees separately.
We represent three classifiers in our work; Boosted Decision Tree (BDT), LikelihoodD (Decorrelation), and MLP. In BDT a selection Tree is a tree-like structure that illustrates the different outcomes of a choice using a branching mechanism. An event is categorized as either a signal or a background event by passing or failing to pass a condition (cut) on a certain node until a choice is reached. The “root node” of the decision tree is used to find these cuts. The node-splitting process concludes when the BDT algorithm specifies minimal events (
$ \mathtt{NEventsMin} $ ). The final nodes (leaves) are classified according to their “purity” (p). The value for signal or background (usually$ +1 $ for signal and 0 or$ -1 $ for background) depends on whether p is greater than or less than the stated number, e.g., +1 if$ p>0.5 $ and$ -1 $ if$ p<0.5 $ [40]. To differentiate between the background class and signal, a labeling process is carried out. All occurrences with a classifier output$ y > y_{cut} $ are labeled as a signal, while the rest are classified as background. The purity of the signal efficiency$ \epsilon_{sig, e f f} $ and background rejection ($ 1- \epsilon_{bkg, e f f} $ ) are evaluated for each cut value of$ y_{cut} $ [41]. The ADA-Boost algorithm re-weights every misclassified event candidate. The new candidate weight consists of the one used in the former tree multiplied by$ \alpha=1-\Delta_{m}/\Delta_{m} $ , where$ \Delta_{m} $ is the misclassification error. This leads to an increase in the weight and therefore an increase in the candidate’s importance when searching for the best separation values. The weights of each new tree are based on the ones of its predecessor [42]. An Artificial Neural Network (ANN) comprises linked neurons, each with its weight. To speed up the processing, a reduced layout can be used as well, the so-called multilayer perception (MLP). The network consists of three kinds of layers. The input layer, consisting of$ n_{var} $ neurons and a bias neuron, many deep layers containing a user-specified number of neurons (set in the option$ \mathtt{HiddenLayers} $ ) plus a bias node, and an output layer and each of the connections between two neurons carries a weight.For event j, the likelihood ratio
$ y_{L} (j) $ is defined by$ \begin{aligned} y_{L}(j) = \dfrac{L_{S}(j)}{L_{S}(j) + L_{B}(j)} \end{aligned} $
(29) where the likelihood of a candidate to be signal/background may be determined using the following formula
$ \begin{aligned} L_{S/B}(j) =\prod_{i=1}^{n_{var}}P_{S/B,i} (x_{i} (j)) \end{aligned} $
(30) where
$ P_{S/B, i} $ is the PDF for the ith input variable$ x_{i} $ . The PDFs are normalized to one for all i:$ \begin{aligned} \int_{\infty}^{-\infty}P_{S/B,i} (x_{i})dx_{i} = 1 \end{aligned} $
(31) The projective likelihood classifier has a major drawback in that it does not use correlation among the discriminating input variables. In the realistic approach, it does not provide an accurate analysis and leads to performance loss. Even other classifiers underperform in the presence of variable correlation. Linear Correlation was used to quantify the training sample by obtaining the square root of the covariant matrix. The square root of the matrix C is
$ C^{'} $ , which when multiplied by itself yields$ C: C=(C^{'})^{2} $ . As a result, TMVA employs diagonalization of the (symmetric) covariance matrix provided by:$ \begin{aligned} D = S^{T} CS\; \; \implies\; \; C^{'} = S\sqrt{ D}S^{T} \end{aligned} $
(32) D is the diagonal matrix, while S denotes the symmetric matrix. The linear decorrelation is calculated by multiplying the starting variable x by the inverse of
$ C^{'} $ .$ \begin{aligned} {\bf{x}} \; \; \mapsto\; \; (C^{'})^{-1}{\bf{x}} \end{aligned} $
(33) Only linearly coupled and Gaussian distributed variables have full decorrelation. In this work, the signal and background events are taken to be 50000 with applied cuts:
$ \begin{aligned}[b]& P^{Jet}_{T}>30\; GeV\; \; ,\; \; \; \eta_{Jet}<2\; \; \; ,\; \; \; N_{Jet}\leq 6\; \; , \\& \Delta R < 0.4\; \; , \; \; \; E^{Missing}_{T}< 120 \; GeV \nonumber \end{aligned} $
The curve of background rejection against signal efficiency provides a reasonable estimate of a classifier’s performance. A classifier’s performance is measured by the area under the signal efficiency versus the background rejection curve, so the bigger the area, the better a classifier’s predicted separation power, as shown in Figure 7. The values of area under the curve (AUC) for Figure 7. Table 4 shows that the best classifier among all is the MLP and BDT, improved after applying cuts and gave the largest area under the curve. We used 800 trees to improve the BDT’s performance, with node splitting at the 2.5% event threshold. Max tree depth set at 3. Trained using Adaptive Boost with a learning rate of
$ \beta = 0.5 $ parent node and the sum of the indices of the two daughter nodes are compared to optimize the cut value on the variable in a node. For the separation index, we use the Gini Index. Finally, the variable’s range is evenly graded into 20 cells. The signal values are taken to be 1 and background values approach 0.Figure 7. (color online) Background Rejection vs Signal Efficiency with applying cuts (a) and without applying cuts (b), respectively.
MVA Classifier AUC (with cut) AUC (without cut) MLP 0.958 0.922 BDT 0.957 0.925 LikelihoodD 0.941 0.896 Table 4. MVA Classifier Area Under (AUC) the Curve with cuts and without cuts values
The Figures 8, 9 and 8 have been specifically generated for Benchmark Point 1 (BP1) at center-of-mass energy
$ \sqrt{s} $ = 3 TeV, while at 3000$ fb^-1 $ ensuring that the results accurately reflect the expected physical behaviors and interactions at this energy scale under the defined experimental conditions. Figure 8 depicts that the signal significance,$ S/\sqrt{S+B} $ , of the classifier is improved by applying cuts with an optimal cut of -0.0271. Similarly, Figure 9 shows the best classifier that is improved by applying cuts with an optimal cut value of 0.1741, and the signal efficiency is also higher than without applied cuts. The LikelihoodD signal significance is shown in Figure 10, has been improved by applied cuts with the optimal cut of 0.0501.Figure 8. (color online) BDT signal significance with applying cuts (a) and without applying cuts (b) respectively.
Figure 9. (color online) MLP Signal Significance with applying cuts (a) and without applying cuts (b) respectively.
Figure 10. (color online) LikelihoodD Signal Significance with applying cuts (a) and without applied cuts (b) respectively.
MVA Classifier Signal Significance
(with cuts)Signal Significance
(without cuts)MLP 201.44 192.187 LikelihoodD 198.658 188.409 BDT 201.532 193.05 Table 5. The signal significance for the classifiers of signal and background with applied cuts and without applied cuts.
Probing Heavy Charged Higgs Boson Using Multivariate Technique at Gamma-Gamma Collider
- Received Date: 2024-09-09
- Available Online: 2025-04-01
Abstract: The current study explores the production of charged Higgs particles through photon-photon collisions within the context of the Two Higgs Doublet Model, including one-loop-level scattering amplitudes of Electroweak and QED radiation. The cross-section has been scanned for plane (