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CMS-PAS-HIG-16-006
Search for a neutral MSSM Higgs boson decaying into $\tau\tau$ at 13 TeV
CMS Collaboration
June 2016
Abstract: A search for a neutral Higgs boson decaying into two tau leptons is presented. The search is performed on a dataset corresponding to an integrated luminosity of 2.3 fb$^{-1}$ of pp collision data at a centre-of-mass energy of 13 TeV, collected by CMS in 2015. The results are interpreted in the context of the minimal supersymmetric extension of the standard model. No excess is found above the standard model expectation and upper limits are set on the boson production cross sections for masses between 90 GeV and 3.2 TeV, as well as excluding regions of benchmark scenarios.
Links: CDS record (PDF) ; inSPIRE record ; CADI line (restricted) ;
Figures & Tables Summary Additional Figures & Material References CMS Publications
Figures

png pdf 		Figure 1-a:
Leading order diagrams of the a) gluon fusion and b-associated Higgs production in the b) four-flavour and c) five-flavour scheme.

png pdf 		Figure 1-b:
Leading order diagrams of the a) gluon fusion and b-associated Higgs production in the b) four-flavour and c) five-flavour scheme.

png pdf 		Figure 1-c:
Leading order diagrams of the a) gluon fusion and b-associated Higgs production in the b) four-flavour and c) five-flavour scheme.

png pdf 		Figure 2-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mu \tau _{\mathrm{h}}$ channel

png pdf 		Figure 2-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mu \tau _{\mathrm{h}}$ channel

png pdf 		Figure 3-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $e\tau _{\mathrm{h}}$ channel

png pdf 		Figure 3-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $e\tau _{\mathrm{h}}$ channel

png pdf 		Figure 4-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $e\mu $ channel

png pdf 		Figure 4-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $e\mu $ channel

png pdf 		Figure 5-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\tau _{\rm {h}}\tau _{\rm {h}}$ channel

png pdf 		Figure 5-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\tau _{\rm {h}}\tau _{\rm {h}}$ channel

png pdf 		Figure 6-a:
Expected and observed limits on cross-section times branching fraction for a) the gluon fusion process (gg$\phi $) and b) the b-associated production process (bb$\phi $), resulting from the combination of all four channels.

png pdf 		Figure 6-b:
Expected and observed limits on cross-section times branching fraction for a) the gluon fusion process (gg$\phi $) and b) the b-associated production process (bb$\phi $), resulting from the combination of all four channels.

png pdf 		Figure 7-a:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-b:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-c:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-d:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-e:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-f:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-g:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-h:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-i:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-j:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-k:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 7-l:
2D likelihood scan of cross-section time branching fraction for $gg\phi $ vs $bb\phi $ production processes, for selected Higgs boson masses between 100 GeV and 3200 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Figure 8-a:
Model dependent exclusion limits in the $m_{ {\mathrm {A}} }$-$\tan\beta $ plane, combining all channels, for a) the $m_{\mathrm{h} }^{\text {mod+}}$ and b) hMSSM scenarios. In a) the blue lines indicate the expected (dashed) and observed (solid) exclusions obtained from the most recent Run 1 CMS search for $\phi \to \tau \tau $ [21], and the red contour indicates the region which does not yield a Higgs boson consistent with a mass of 125 GeV within the theory uncertainties of $\pm$3 GeV.

png pdf 		Figure 8-b:
Model dependent exclusion limits in the $m_{ {\mathrm {A}} }$-$\tan\beta $ plane, combining all channels, for a) the $m_{\mathrm{h} }^{\text {mod+}}$ and b) hMSSM scenarios. In a) the blue lines indicate the expected (dashed) and observed (solid) exclusions obtained from the most recent Run 1 CMS search for $\phi \to \tau \tau $ [21], and the red contour indicates the region which does not yield a Higgs boson consistent with a mass of 125 GeV within the theory uncertainties of $\pm$3 GeV.
Tables

png pdf
 Table 1:
Number of events observed in the data in the b-tag and no b-tag categories in the $\mu \tau _{\mathrm{h}}$, $e\tau _{\mathrm{h}}$, $\tau _{\mathrm{h}}\tau _{\mathrm{h}}$ and $e\mu $ channels, compared with the background expectation. The signal expectation for a benchmark point of $m_{ {\mathrm {A}} }$ = 1000 GeV and $\tan\beta $ = 50 in the $m_{\mathrm{h} }^{\text {mod+}}$ scenario is also shown. Both the background predictions and corresponding uncertainties are evaluated post-fit. Note that the uncertainties on the total background predictions are smaller than the sum in quadrature of the uncertainties on the component processes. This reflects the fact that while the number of observed events constrains the total background prediction relatively strongly the rates of individual processes are typically anti-correlated in the fit.
Summary
A search for neutral Higgs bosons of the MSSM decaying into the $\tau\tau$ final state has been presented. Events in the $\mu\tau$, $\mathrm{e}\tau$, $\tau\tau$ and $\mathrm{e}\mu$ final states have been used. The dataset corresponds to an integrated luminosity of 2.3 fb$^{-1}$, recorded by the CMS detector at 13 TeV centre-of-mass energy in 2015. No evidence for a signal has been found and exclusion limits on the production cross section times branching fraction for the gluon fusion and b-associated production processes are presented. The results are also interpreted in the context of two MSSM benchmark scenarios, where exclusions are set as a function of $m_{\mathrm{A}}$ and $\tan\beta$.
Additional Figures

png pdf 		Additional Figure 1-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mu \tau _{\mathrm{h}}$ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 1-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mu \tau _{\mathrm{h}}$ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 2-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mathrm{e}\tau _{\mathrm{h}}$ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 2-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mathrm{e}\tau _{\mathrm{h}}$ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 3-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mathrm{e}\mu $ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 3-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\mathrm{e}\mu $ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 4-a:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\tau _{\rm {h}}\tau _{\rm {h}}$ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 4-b:
Post-fit plot of the transverse mass distribution in (a) the no b-tag category and (b) the b-tag category of the $\tau _{\rm {h}}\tau _{\rm {h}}$ channel, showing the low mass region. Note that the signal prediction is not shown, since it is only visible compared with background in the high mass region.

png pdf 		Additional Figure 5-a:
Expected and observed limits on cross-section times branching fraction for a) the gluon fusion process ($\mathrm{gg}\phi $) and b) the b-associated production process ($\mathrm{bb}\phi $), resulting from the combination of all four channels. In this version of the plots the SM Higgs of 125 GeV is included in the background only expectation.

png pdf 		Additional Figure 5-b:
Expected and observed limits on cross-section times branching fraction for a) the gluon fusion process ($\mathrm{gg}\phi $) and b) the b-associated production process ($\mathrm{bb}\phi $), resulting from the combination of all four channels. In this version of the plots the SM Higgs of 125 GeV is included in the background only expectation.

png pdf 		Additional Figure 6-a:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-b:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-c:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-d:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-e:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-f:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-g:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-h:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-i:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-j:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-k:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 6-l:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 90 GeV and 900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 7-a:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 1200 GeV and 2900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 7-b:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 1200 GeV and 2900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 7-c:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 1200 GeV and 2900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 7-d:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 1200 GeV and 2900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).

png pdf 		Additional Figure 7-e:
2D likelihood scan of cross-section time branching fraction for $\mathrm{gg}\phi $ vs $\mathrm{bb}\phi $ production processes, for Higgs boson masses between 1200 GeV and 2900 GeV. The best fit point (black cross) and the 1 and 2 sigma contours are shown for the observed data. Also shown is the best fit value for an Asimov dataset containing background plus the SM Higgs with mass 125 GeV (red diamond).
Additional Material
Numerical values of ggH and bbH cross section times BR scans (2D database)

Please read the file for instructions: README_database

Likelihood scan in 2D plane:
  • $\sigma( \mathrm{gg}\phi) \mathcal{B}(\phi \to \tau\tau)$ (= $x$-axis) versus $\sigma( \mathrm{bb}\phi )\mathcal{B}(\phi \to \tau\tau )$ (= $y$-axis) at the mass $m_{\phi}$
  • 40000 points in each plane scanned

Performed for
  • BG_data : observation vs background
  • BG_asimov : asimov (sum of backgrounds) vs background
  • SM_data : observation vs background+SM-Higgs
  • SM_asimov : asimov (sum of backgrounds+SM-Higgs) vs background+SM-Higgs
The files contain all points stored as
  • $ \sigma( \mathrm{gg}\phi ) \mathcal{B} (\phi \to \tau\tau) $
  • $ \sigma( \mathrm{bb}\phi ) \mathcal{B} (\phi \to \tau\tau) $
  • $(1/2) \chi^2$

Notes
  • Likelihood is restricted to positive values for $\mathrm{gg}\phi$/$\mathrm{bb}\phi$
  • best-fit found at $\chi^2 =$ 0
  • 1$\sigma$ contour found at $\chi^2 =$ 2.30
  • 2$\sigma$ sigma contour found at $\chi^2 =$ 5.99
The 125 GeV mass point is interpolated based on nearby masses.
$ m_{\phi} = $ 90 GeV BG data 90BG asimov 90SM data 90SM asimov 90
$ m_{\phi} = $ 100 GeV BG data 100BG asimov 100SM data 100SM asimov 100
$ m_{\phi} = $ 110 GeV BG data 110BG asimov 110SM data 110SM asimov 110
$ m_{\phi} = $ 120 GeV BG data 120BG asimov 120SM data 120SM asimov 120
$ m_{\phi} = $ 125 GeV BG data 125BG asimov 125SM data 125SM asimov 125
$ m_{\phi} = $ 130 GeV BG data 130BG asimov 130SM data 130SM asimov 130
$ m_{\phi} = $ 140 GeV BG data 140BG asimov 140SM data 140SM asimov 140
$ m_{\phi} = $ 160 GeV BG data 160BG asimov 160SM data 160SM asimov 160
$ m_{\phi} = $ 180 GeV BG data 180BG asimov 180SM data 180SM asimov 180
$ m_{\phi} = $ 200 GeV BG data 200BG asimov 200SM data 200SM asimov 200
$ m_{\phi} = $ 250 GeV BG data 250BG asimov 250SM data 250SM asimov 250
$ m_{\phi} = $ 350 GeV BG data 350BG asimov 350SM data 350SM asimov 350
$ m_{\phi} = $ 400 GeV BG data 400BG asimov 400SM data 400SM asimov 400
$ m_{\phi} = $ 450 GeV BG data 450BG asimov 450SM data 450SM asimov 450
$ m_{\phi} = $ 500 GeV BG data 500BG asimov 500SM data 500SM asimov 500
$ m_{\phi} = $ 600 GeV BG data 600BG asimov 600SM data 600SM asimov 600
$ m_{\phi} = $ 700 GeV BG data 700BG asimov 700SM data 700SM asimov 700
$ m_{\phi} = $ 800 GeV BG data 800BG asimov 800SM data 800SM asimov 800
$ m_{\phi} = $ 900 GeV BG data 900BG asimov 900SM data 900SM asimov 900
$ m_{\phi} = $ 1000 GeV BG data 1000BG asimov 1000SM data 1000SM asimov 1000
$ m_{\phi} = $ 1200 GeV BG data 1200BG asimov 1200SM data 1200SM asimov 1200
$ m_{\phi} = $ 1400 GeV BG data 1400BG asimov 1400SM data 1400SM asimov 1400
$ m_{\phi} = $ 1600 GeV BG data 1600BG asimov 1600SM data 1600SM asimov 1600
$ m_{\phi} = $ 1800 GeV BG data 1800BG asimov 1800SM data 1800SM asimov 1800
$ m_{\phi} = $ 2000 GeV BG data 2000BG asimov 2000SM data 2000SM asimov 2000
$ m_{\phi} = $ 2300 GeV BG data 2300BG asimov 2300SM data 2300SM asimov 2300
$ m_{\phi} = $ 2600 GeV BG data 2600BG asimov 2600SM data 2600SM asimov 2600
$ m_{\phi} = $ 2900 GeV BG data 2900BG asimov 2900SM data 2900SM asimov 2900
$ m_{\phi} = $ 3200 GeV BG data 3200BG asimov 3200SM data 3200SM asimov 3200
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