Standard Model Fit results: Winter 2018

Parameter Input value Full fit SM Prediction Pull
\bar{\rho} - - 0.145 \pm 0.014 -
\bar{\eta} - - 0.349 \pm 0.010 -
\rho - - 0.149 \pm 0.014 -
\eta - - 0.358 \pm 0.011 -
A - - 0.825 \pm 0.012 -
\lambda 0.22574 \pm 0.00089 - 0.22502 \pm 0.00053 -0.6
\sin\theta_{12} - - 0.22502 \pm 0.00053 -
\sin\theta_{23} - - 0.04190 \pm 0.00058 -
\sin\theta_{13} - - 0.003669 \pm 0.000096 -
\delta [^{\circ}] - - 67.3 \pm 2.2 -
|V_{ub}| 0.00372 \pm 0.00023 0.003670 \pm 0.000096 0.00365 \pm 0.00010 -0.3
|V_{ub}| 0.00365 \pm 0.00013 - - 0.0
|V_{ub}| 0.00449 \pm 0.00020 - - -3.8
|V_{cb}| 0.0405 \pm 0.0011 0.04190 \pm 0.00058 - -
|V_{cb}| 0.03887 \pm 0.00059 - - -
|V_{cb}| 0.04218 \pm 0.00077 - - -
\alpha [^{\circ}] 93.4 \pm 6.1 \text{ and } 166.5 \pm 0.1 88.200 \pm 0.100 \text{ and } 90.500 \pm 2.100 89.4 \pm 2.3 -0.7
\beta [^{\circ}] - 22.25 \pm 0.66 23.7 \pm 1.4 -
\gamma [^{\circ}] -106.5 \pm 4.4 \text{ and } 73.4 \pm 4.4 64.575 \pm 0.085 \text{ and } 65.254 \pm 0.245 \text{ and } 67.584 \pm 1.875 65.8 \pm 2.2 -1.6
J_{cp}\cdot10^{5} - - 3.114 \pm 0.090 -
2\beta+\gamma [^{\circ}] -90 \pm 53 \text{ and } 89 \pm 54 111.9 \pm 2.4 112.0 \pm 2.4 +0.4
\sin(2\beta) 0.688 \pm 0.020 0.699 \pm 0.016 0.736 \pm 0.032 +1.1
\cos(2\beta) 0.86 \pm 0.12 0.712 \pm 0.016 0.673 \pm 0.036 -1.5
\beta_{s} [^{\circ}] 0.60 \pm 0.88 - 1.061 \pm 0.032 +0.5
m_{c}\mathrm{ [GeV/c^{2}]} 1.288 \pm 0.025 - - -
m_{b}\mathrm{ [GeV/c^{2}]} 4.176 \pm 0.026 - - -
m_{t}\mathrm{ [GeV/c^{2}]} 165.72 \pm 0.73 165.60 \pm 0.76 - -
B_{k} 0.740 \pm 0.029 0.754 \pm 0.025 0.843 \pm 0.071 +1.2
f_{B_{s}} 0.2260 \pm 0.0050 0.2242 \pm 0.0039 - -
f_{B_{s}}/f_{B_{d}} 1.203 \pm 0.013 1.206 \pm 0.011 - -
B_{B_{s}}/B_{B_{d}} 1.032 \pm 0.038 1.058 \pm 0.031 - -
B_{B_{s}} 0.888 \pm 0.040 0.879 \pm 0.031 - -
B_{k} 0.740 \pm 0.029 0.754 \pm 0.025 0.843 \pm 0.071 +1.2
|\epsilon_{k}|\cdot 10^{3} 2.228 \pm 0.011 2.227 \pm 0.011 1.7705 \pm 0.0015 \text{ and } 1.9715 \pm 0.1824 -41.3
\Delta m_{s} \mathrm{[ps^{-1}]} 17.757 \pm 0.021 17.755 \pm 0.020 17.03 \pm 0.90 -0.9
\Delta m_{d} \mathrm{[ps^{-1}]} 0.5064 \pm 0.0019 - - -
\Delta\Gamma_{d}/\Gamma_{d} -0.0020 \pm 0.0100 - 0.00496 \pm 0.00039 +0.6
\Delta\Gamma_{s}/\Gamma_{s} 0.1280 \pm 0.0089 - 0.152 \pm 0.011 +1.6
A_{SL_{d}} -0.0020 \pm 0.0017 -0.000290 \pm 0.000026 -0.000290 \pm 0.000026 +1.0
A_{SL_{s}} -0.00059 \pm 0.00280 0.0000130 \pm 0.0000011 0.0000130 \pm 0.0000011 +0.2
B(B\rightarrow\tau\nu)\cdot 10^{4} 1.09 \pm 0.24 0.821 \pm 0.054 0.808 \pm 0.053 -1.2
\bar {B}(B_{s}\rightarrow ll)\cdot10^{9} 2.90 \pm 0.70 3.83 \pm 0.14 3.87 \pm 0.15 +1.3
B(B_{d}\rightarrow ll)\cdot10^{9} 0.39 \pm 0.15 0.1078 \pm 0.0048 0.1086 \pm 0.0049 -1.9

CKM matrix thus looks like V_{CKM}=\left(\begin{array}{ccc} (0.97431 \pm 0.00012) & (0.22517 \pm 0.00052) & (0.00365 \pm 0.00010)e^{i(-67.2 \pm 2.1)^\circ}\\ ( -0.22504 \pm 0.00055)e^{i(0.0351 \pm 0.0010)^\circ} & (0.97344 \pm 0.00012)e^{i(-0.001880 \pm 0.000052)^\circ} & (-) \\ (0.00871 \pm 0.00014)e^{i(-22.23 \pm 0.63)^\circ} & ( -0.04111 \pm 0.00056)e^{i(1.059 \pm 0.032)^\circ} & (0.999115 \pm 0.000024)\end{array}\right)




Full fit result for \,\bar{\rho}
0.145 \pm 0.014
95% prob:[0.117, 0.173]
99% prob:[0.104, 0.188]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\bar{\eta}
0.349 \pm 0.010
95% prob:[0.328, 0.371]
99% prob:[0.318, 0.383]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\bar{\rho} - \bar{\eta}



EPS - PDF - PNG - JPG - GIF



Angles only result for \,\bar{\rho} - \bar{\eta}



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Sides only result for \,\bar{\rho} - \bar{\eta}



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Full fit result for \,\rho
0.149 \pm 0.014
95% prob:[0.120, 0.178]
99% prob:[0.106, 0.192]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\eta
0.358 \pm 0.011
95% prob:[0.336, 0.381]
99% prob:[0.326, 0.393]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,A
0.825 \pm 0.012
95% prob:[0.802, 0.851]
99% prob:[0.790, 0.864]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\lambda
0.22574 \pm 0.00089
95% prob:[0.22395, 0.22752]
99% prob:[0.22306, 0.22841]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\lambda
0.22502 \pm 0.00053
95% prob:[0.22405, 0.22623]
99% prob:[0.22356, 0.22683]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{12}
0.22502 \pm 0.00053
95% prob:[0.22405, 0.22623]
99% prob:[0.22356, 0.22683]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{23}
0.04190 \pm 0.00058
95% prob:[0.04074, 0.04307]
99% prob:[0.04019, 0.04368]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{13}
0.003669 \pm 0.000096
95% prob:[0.003479, 0.003865]
99% prob:[0.003382, 0.003971]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\delta [^{\circ}]
67.3 \pm 2.2
95% prob:[63.1, 71.7]
99% prob:[61.0, 73.8]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00372 \pm 0.00023

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Full Fit result for \,|V_{ub}|
0.003670 \pm 0.000096
95% prob:[0.003477, 0.003863]
99% prob:[0.003382, 0.003970]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{ub}|
0.00365 \pm 0.00010
95% prob:[0.00343, 0.00387]
99% prob:[0.00333, 0.00399]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,|V_{ub}|
{\rm pull}(|V_{ub}|) = -0.3

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Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00365 \pm 0.00013

EPS - PDF - PNG - JPG - GIF



Full Fit result for \,|V_{ub}|
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{ub}|
-
95% prob:0
99% prob:0
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Compatibility Plot for \,|V_{ub}|
{\rm pull}(|V_{ub}|) = 0.0

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Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00449 \pm 0.00020

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Full Fit result for \,|V_{ub}|
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{ub}|
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,|V_{ub}|
{\rm pull}(|V_{ub}|) = -3.8

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Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.0405 \pm 0.0011

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Full Fit result for \,|V_{cb}|
0.04190 \pm 0.00058
95% prob:[0.04074, 0.04307]
99% prob:[0.04019, 0.04367]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{cb}|
-
95% prob:0
99% prob:0
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Compatibility Plot for \,|V_{cb}|
{\rm pull}(|V_{cb}|) = -

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Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.03887 \pm 0.00059

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Full Fit result for \,|V_{cb}|
-
95% prob:0
99% prob:0
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SM Fit prediction for \,|V_{cb}|
-
95% prob:0
99% prob:0
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Compatibility Plot for \,|V_{cb}|
{\rm pull}(|V_{cb}|) = -

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Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.04218 \pm 0.00077

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Full Fit result for \,|V_{cb}|
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{cb}|
-
95% prob:0
99% prob:0
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Compatibility Plot for \,|V_{cb}|
{\rm pull}(|V_{cb}|) = -

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Fit Input for \,\alpha [^{\circ}]
93.4 \pm 6.1 \text{ and } 166.5 \pm 0.1
95% prob:[83.30, 103.60] U [163.00, 169.70]
99% prob:[78.80, 110.20] U [159.90, 171.40]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\alpha [^{\circ}]
88.200 \pm 0.100 \text{ and } 90.500 \pm 2.100
95% prob:[86.0, 94.5]
99% prob:[83.9, 96.9]
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SM Fit prediction for \,\alpha [^{\circ}]
89.4 \pm 2.3
95% prob:[84.7, 94.2]
99% prob:[82.4, 97.0]
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Compatibility Plot for \,\alpha [^{\circ}]
{\rm pull}(\alpha ) = -0.7

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Full Fit result for \,\beta [^{\circ}]
22.25 \pm 0.66
95% prob:[20.95, 23.61]
99% prob:[20.28, 24.33]
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SM Fit prediction for \,\beta [^{\circ}]
23.7 \pm 1.4
95% prob:[21.0, 26.7]
99% prob:[19.8, 28.3]
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Fit Input for \,\gamma [^{\circ}]
-106.5 \pm 4.4 \text{ and } 73.4 \pm 4.4
95% prob:[-116.5, -98.2] U [63.5, 81.7]
99% prob:[-123.3, -94.2] U [56.6, 85.5]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\gamma [^{\circ}]
64.575 \pm 0.085 \text{ and } 65.254 \pm 0.245 \text{ and } 67.584 \pm 1.875
95% prob:[63.23, 71.73]
99% prob:[60.98, 73.76]
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SM Fit prediction for \,\gamma [^{\circ}]
65.8 \pm 2.2
95% prob:[61.5, 70.5]
99% prob:[59.1, 72.9]
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Compatibility Plot for \,\gamma [^{\circ}]
{\rm pull}(\gamma ) = -1.6

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Full fit result for \,J_{cp}\cdot10^{5}
3.114 \pm 0.090
95% prob:[2.936, 3.297]
99% prob:[2.850, 3.392]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,2\beta+\gamma [^{\circ}]
-90 \pm 53 \text{ and } 89 \pm 54
95% prob:[-173, -6] U [6, 173]
99% prob:[-179, 0.000000000] U [0.000000000, 180]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,2\beta+\gamma [^{\circ}]
111.9 \pm 2.4
95% prob:[107.2, 116.7]
99% prob:[104.7, 119.0]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,2\beta+\gamma [^{\circ}]
112.0 \pm 2.4
95% prob:[107.3, 116.8]
99% prob:[104.8, 119.0]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,2\beta+\gamma [^{\circ}]
{\rm pull}(2\beta+\gamma ) = +0.4

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Fit Input for \,\sin(2\beta)
0.688 \pm 0.020
95% prob:[0.649, 0.729]
99% prob:[0.630, 0.750]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\sin(2\beta)
0.699 \pm 0.016
95% prob:[0.668, 0.734]
99% prob:[0.651, 0.751]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\sin(2\beta)
0.736 \pm 0.032
95% prob:[0.673, 0.804]
99% prob:[0.642, 0.837]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\sin(2\beta)
{\rm pull}(sin(2\beta)) = +1.1

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Fit Input for \,\cos(2\beta)
0.86 \pm 0.12
95% prob:[0.44, 0.99]
99% prob:[0.12, 0.99]
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Full Fit result for \,\cos(2\beta)
0.712 \pm 0.016
95% prob:[0.679, 0.744]
99% prob:[0.660, 0.759]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\cos(2\beta)
0.673 \pm 0.036
95% prob:[0.597, 0.742]
99% prob:[0.549, 0.769]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\cos(2\beta)
{\rm pull}(cos(2\beta)) = -1.5

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Fit Input for \,\beta_{s} [^{\circ}]
0.60 \pm 0.88
95% prob:0
99% prob:0
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Prediction for \,\beta_{s} [^{\circ}]
1.061 \pm 0.032
95% prob:[0.997, 1.129]
99% prob:[0.966, 1.165]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,m_{t}\mathrm{ [GeV/c^{2}]}
Gaussian likelihood used
165.72 \pm 0.73

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Full Fit result for \,m_{t}\mathrm{ [GeV/c^{2}]}
165.60 \pm 0.76
95% prob:[164.30, 167.20]
99% prob:[163.50, 167.80]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,m_{t}\mathrm{ [GeV/c^{2}]}
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,m_{t}\mathrm{ [GeV/c^{2}]}
{\rm pull}(m_{t} ) = -

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Fit Input for \,B_{k}
0.740 \pm 0.029
95% prob:[0.688, 0.798]
99% prob:[0.662, 0.825]
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Full Fit result for \,B_{k}
0.754 \pm 0.025
95% prob:[0.703, 0.808]
99% prob:[0.677, 0.834]
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SM Fit prediction for \,B_{k}
0.843 \pm 0.071
95% prob:[0.703, 0.991]
99% prob:[0.648, 1.076]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B_{k}
{\rm pull}(B_{k}) = +1.2

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Fit Input for \,f_{B_{s}}
Gaussian likelihood used
0.2260 \pm 0.0050

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Full Fit result for \,f_{B_{s}}
0.2242 \pm 0.0039
95% prob:[0.2165, 0.2323]
99% prob:[0.2129, 0.2363]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,f_{B_{s}}
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,f_{B_{s}}
{\rm pull}(f_{B_{s}}) = -

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Fit Input for \,f_{B_{s}}/f_{B_{d}}
Gaussian likelihood used
1.203 \pm 0.013

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Full Fit result for \,f_{B_{s}}/f_{B_{d}}
1.206 \pm 0.011
95% prob:[1.183, 1.232]
99% prob:[1.170, 1.243]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,f_{B_{s}}/f_{B_{d}}
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,f_{B_{s}}/f_{B_{d}}
{\rm pull}(f_{B_{s}}/f_{B_{d}}) = -

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Fit Input for \,B_{B_{s}}/B_{B_{d}}
Gaussian likelihood used
1.032 \pm 0.038

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Full Fit result for \,B_{B_{s}}/B_{B_{d}}
1.058 \pm 0.031
95% prob:[0.997, 1.123]
99% prob:[0.967, 1.156]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B_{B_{s}}/B_{B_{d}}
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B_{B_{s}}/B_{B_{d}}
{\rm pull}(B_{B_{s}}/B_{B_{d}}) = -

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Fit Input for \,B_{B_{s}}
Gaussian likelihood used
0.888 \pm 0.040

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Full Fit result for \,B_{B_{s}}
0.879 \pm 0.031
95% prob:[0.819, 0.942]
99% prob:[0.788, 0.972]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B_{B_{s}}
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B_{B_{s}}
{\rm pull}(B_{B_{s}}) = -

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Fit Input for \,B_{k}
0.740 \pm 0.029
95% prob:[0.688, 0.798]
99% prob:[0.662, 0.825]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,B_{k}
0.754 \pm 0.025
95% prob:[0.703, 0.808]
99% prob:[0.677, 0.834]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B_{k}
0.843 \pm 0.071
95% prob:[0.703, 0.991]
99% prob:[0.648, 1.076]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B_{k}
{\rm pull}(B_{k}) = +1.2

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Fit Input for \,|\epsilon_{k}|\cdot 10^{3}
Gaussian likelihood used
2.228 \pm 0.011

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Full Fit result for \,|\epsilon_{k}|\cdot 10^{3}Sorted ascending
2.227 \pm 0.011
95% prob:[2.206, 2.249]
99% prob:[2.195, 2.259]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|\epsilon_{k}|\cdot 10^{3}
1.7705 \pm 0.0015 \text{ and } 1.9715 \pm 0.1824
95% prob:[1.60, 1.60] U [1.61, 2.35]
99% prob:[1.49, 2.56]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,|\epsilon_{k}|\cdot 10^{3}
{\rm pull}(|\epsilon_{k}|\cdot 10^{3}) = -41.3

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Fit Input for \,\Delta m_{s} \mathrm{[ps^{-1}]}
Gaussian likelihood used
17.757 \pm 0.021

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Full Fit result for \,\Delta m_{s} \mathrm{[ps^{-1}]}
17.755 \pm 0.020
95% prob:[17.714, 17.797]
99% prob:[17.696, 17.819]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\Delta m_{s} \mathrm{[ps^{-1}]}
17.03 \pm 0.90
95% prob:[15.28, 18.86]
99% prob:[14.53, 19.89]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\Delta\Gamma_{d}/\Gamma_{d}
-0.0020 \pm 0.0100
95% prob:0
99% prob:0
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Prediction for \,\Delta\Gamma_{d}/\Gamma_{d}
0.00496 \pm 0.00039
95% prob:[0.00421, 0.00577]
99% prob:[0.00390, 0.00623]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\Delta\Gamma_{s}/\Gamma_{s}
0.1280 \pm 0.0089
95% prob:0
99% prob:0
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Prediction for \,\Delta\Gamma_{s}/\Gamma_{s}
0.152 \pm 0.011
95% prob:[0.131, 0.176]
99% prob:[0.122, 0.191]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,A_{SL_{d}}
Gaussian likelihood used
-0.0020 \pm 0.0017

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Full Fit result for \,A_{SL_{d}}
-0.000290 \pm 0.000026
95% prob:[-0.000347, -0.000239]
99% prob:[-0.000373, -0.000215]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,A_{SL_{d}}
-0.000290 \pm 0.000026
95% prob:[-0.000347, -0.000239]
99% prob:[-0.000373, -0.000215]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,A_{SL_{d}}
{\rm pull}(A_{SL_{d}}) = +1.0

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Fit Input for \,A_{SL_{s}}
Gaussian likelihood used
-0.00059 \pm 0.00280

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Full Fit result for \,A_{SL_{s}}
0.0000130 \pm 0.0000011
95% prob:[0.0000107, 0.0000154]
99% prob:[0.0000097, 0.0000168]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,A_{SL_{s}}
0.0000130 \pm 0.0000011
95% prob:[0.0000107, 0.0000154]
99% prob:[0.0000097, 0.0000168]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,A_{SL_{s}}
{\rm pull}(A_{SL_{s}}) = +0.2

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Fit Input for \,B(B\rightarrow\tau\nu)\cdot 10^{4}
Gaussian likelihood used
1.09 \pm 0.24

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Full Fit result for \,B(B\rightarrow\tau\nu)\cdot 10^{4}
0.821 \pm 0.054
95% prob:[0.717, 0.934]
99% prob:[0.669, 0.997]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B(B\rightarrow\tau\nu)\cdot 10^{4}
0.808 \pm 0.053
95% prob:[0.701, 0.920]
99% prob:[0.654, 0.984]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B(B\rightarrow\tau\nu)\cdot 10^{4}
| %${\rm pull}(B(B\rightarrow\tau u)\cdot 10^{4}) = -1.2$%

|
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Fit Input for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
Gaussian likelihood used
2.90 \pm 0.70

EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
3.83 \pm 0.14
95% prob:[3.54, 4.13]
99% prob:[3.42, 4.31]
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SM Fit prediction for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
3.87 \pm 0.15
95% prob:[3.57, 4.20]
99% prob:[3.44, 4.37]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
{\rm pull}(\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}) = +1.3

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Fit Input for \,B(B_{d}\rightarrow ll)\cdot10^{9}
Gaussian likelihood used
0.39 \pm 0.15

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Full Fit result for \,B(B_{d}\rightarrow ll)\cdot10^{9}
0.1078 \pm 0.0048
95% prob:[0.0984, 0.1176]
99% prob:[0.0941, 0.1229]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B(B_{d}\rightarrow ll)\cdot10^{9}
0.1086 \pm 0.0049
95% prob:[0.0989, 0.1187]
99% prob:[0.0945, 0.1241]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B(B_{d}\rightarrow ll)\cdot10^{9}
{\rm pull}(B(B_{d}\rightarrow ll)\cdot10^{9}) = -1.9

EPS - PDF - PNG - JPG - GIF

 
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