Standard Model Fit results: Summer 2020

Parameter Input value Full fit SM Prediction Pull
\bar{\rho} - - 0.148 \pm 0.012 -
\bar{\eta} - - 0.350 \pm 0.010 -
\rho - - 0.152 \pm 0.013 -
\eta - - 0.359 \pm 0.011 -
A - - 0.8244 \pm 0.0099 -
\lambda 0.22564 \pm 0.00089 - 0.22495 \pm 0.00035 -0.6
\sin\theta_{12} - - 0.22495 \pm 0.00035 -
\sin\theta_{23} - - 0.04175 \pm 0.00048 -
\sin\theta_{13} - - 0.003674 \pm 0.000097 -
\delta [^{\circ}] - - 67.0 \pm 1.8 -
|V_{ub}| 0.00388 \pm 0.00026 0.003674 \pm 0.000097 0.00365 \pm 0.00010 -0.9
|V_{ub}| 0.00373 \pm 0.00013 - - -0.6
|V_{ub}| 0.00436 \pm 0.00025 - - -2.7
|V_{cb}| 0.0403 \pm 0.0012 0.04175 \pm 0.00048 0.04200 \pm 0.00053 +1.1
|V_{cb}| 0.03944 \pm 0.00059 - - +3.2
|V_{cb}| 0.04218 \pm 0.00077 - - -0.3
\alpha [^{\circ}] 94.5 \pm 4.0 \text{ and } 166.5 \pm 2.1 90.7 \pm 1.8 89.3 \pm 2.0 -1.2
\beta [^{\circ}] - 22.40 \pm 0.70 24.8 \pm 1.5 -
\gamma [^{\circ}] 71.0 \pm 5.0 66.9 \pm 1.8 66.1 \pm 1.9 -1.0
J_{cp}\cdot10^{5} - - 3.098 \pm 0.078 -
2\beta+\gamma [^{\circ}] -90 \pm 56 \text{ and } 94 \pm 52 111.7 \pm 2.1 111.8 \pm 2.1 +0.3
\sin(2\beta) 0.687 \pm 0.020 0.703 \pm 0.016 0.761 \pm 0.035 +1.8
\cos(2\beta) 0.88 \pm 0.11 0.709 \pm 0.017 0.644 \pm 0.041 -2.0
\beta_{s} [^{\circ}] 1.94 \pm 0.63 - 1.064 \pm 0.033 -1.5
m_{c}\mathrm{ [GeV/c^{2}]} 1.2889 \pm 0.0070 - - -
m_{b}\mathrm{ [GeV/c^{2}]} 4.191 \pm 0.014 - - -
m_{t}\mathrm{ [GeV/c^{2}]} 165.30 \pm 0.40 165.10 \pm 0.40 - -
B_{k} 0.756 \pm 0.016 0.763 \pm 0.015 - -
f_{B_{s}} 0.2301 \pm 0.0011 0.2298 \pm 0.0012 - -
f_{B_{s}}/f_{B_{d}} 1.2079 \pm 0.0050 1.2079 \pm 0.0050 - -
B_{B_{s}}/B_{B_{d}} 1.032 \pm 0.038 1.050 \pm 0.028 - -
B_{B_{s}} 0.888 \pm 0.040 0.840 \pm 0.020 - -
B_{k} 0.756 \pm 0.016 0.763 \pm 0.015 - -
|\epsilon_{k}|\cdot 10^{3} 2.228 \pm 0.011 2.226 \pm 0.010 - -
\Delta m_{s} \mathrm{[ps^{-1}]} 17.757 \pm 0.021 17.755 \pm 0.025 18.14 \pm 0.82 +0.4
\Delta m_{d} \mathrm{[ps^{-1}]} 0.5064 \pm 0.0019 - - -
\Delta\Gamma_{d}/\Gamma_{d} 0.00100 \pm 0.00999 - 0.00526 \pm 0.00059 +0.4
\Delta\Gamma_{s}/\Gamma_{s} 0.1280 \pm 0.0089 - 0.162 \pm 0.018 +1.4
A_{SL_{d}} -0.0020 \pm 0.0017 -0.000311 \pm 0.000031 -0.000311 \pm 0.000031 +1.0
A_{SL_{s}} -0.00059 \pm 0.00280 0.0000138 \pm 0.0000013 0.0000138 \pm 0.0000013 +0.2
B(B\rightarrow\tau\nu)\cdot 10^{4} 1.09 \pm 0.24 0.861 \pm 0.047 0.853 \pm 0.048 -1.0
\bar {B}(B_{s}\rightarrow ll)\cdot10^{9} 2.90 \pm 0.70 3.98 \pm 0.11 4.01 \pm 0.11 +1.5
B(B_{d}\rightarrow ll)\cdot10^{9} 0.39 \pm 0.15 0.1105 \pm 0.0034 0.1107 \pm 0.0035 -1.9

CKM matrix thus looks like V_{CKM}=\left(\begin{array}{ccc} (0.974344 \pm 0.000081) & (0.22504 \pm 0.00035) & (0.00365 \pm 0.00010)e^{i(-66.8 \pm 1.7)^\circ}\\ ( -0.22489 \pm 0.00035)e^{i(0.03506 \pm 0.00087)^\circ} & (0.973477 \pm 0.000082)e^{i(-0.001872 \pm 0.000044)^\circ} & (0.04199 \pm 0.00053) \\ (0.00865 \pm 0.00012)e^{i(-22.40 \pm 0.66)^\circ} & ( -0.04105 \pm 0.00048)e^{i(1.060 \pm 0.032)^\circ} & (0.999119 \pm 0.000019)\end{array}\right)




Full fit result for \,\bar{\rho}
0.148 \pm 0.012
95% prob:[0.123, 0.174]
99% prob:[0.109, 0.187]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\bar{\eta}
0.350 \pm 0.010
95% prob:[0.329, 0.372]
99% prob:[0.319, 0.384]
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
0.152 \pm 0.013
95% prob:[0.126, 0.178]
99% prob:[0.112, 0.191]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\eta
0.359 \pm 0.011
95% prob:[0.338, 0.382]
99% prob:[0.328, 0.394]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,A
0.8244 \pm 0.0099
95% prob:[0.8046, 0.8445]
99% prob:[0.7956, 0.8554]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\lambda
0.22564 \pm 0.00089
95% prob:[0.22386, 0.22742]
99% prob:[0.22287, 0.22831]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\lambda
0.22495 \pm 0.00035
95% prob:[0.22435, 0.22574]
99% prob:[0.22395, 0.22613]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{12}
0.22495 \pm 0.00035
95% prob:[0.22435, 0.22574]
99% prob:[0.22395, 0.22613]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{23}
0.04175 \pm 0.00048
95% prob:[0.04080, 0.04275]
99% prob:[0.04031, 0.04323]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{13}
0.003674 \pm 0.000097
95% prob:[0.003486, 0.003872]
99% prob:[0.003390, 0.003969]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\delta [^{\circ}]
67.0 \pm 1.8
95% prob:[63.4, 70.7]
99% prob:[61.5, 72.8]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00388 \pm 0.00026

EPS - PDF - PNG - JPG - GIF



Full Fit result for \,|V_{ub}|
0.003674 \pm 0.000097
95% prob:[0.003485, 0.003871]
99% prob:[0.003391, 0.003971]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{ub}|
0.00365 \pm 0.00010
95% prob:[0.00344, 0.00385]
99% prob:[0.00335, 0.00396]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,|V_{ub}|
{\rm pull}(|V_{ub}|) = -0.9

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Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00373 \pm 0.00013

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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
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Compatibility Plot for \,|V_{ub}|
{\rm pull}(|V_{ub}|) = -0.6

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Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00436 \pm 0.00025

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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}|) = -2.7

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Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.0403 \pm 0.0012

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Full Fit result for \,|V_{cb}|
0.04175 \pm 0.00048
95% prob:[0.04080, 0.04275]
99% prob:[0.04031, 0.04323]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{cb}|
0.04200 \pm 0.00053
95% prob:[0.04097, 0.04313]
99% prob:[0.04039, 0.04346]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,|V_{cb}|
{\rm pull}(|V_{cb}|) = +1.1

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Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.03944 \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}|) = +3.2

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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
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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}|) = -0.3

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Fit Input for \,\alpha [^{\circ}]
94.5 \pm 4.0 \text{ and } 166.5 \pm 2.1
95% prob:[85.9, 103.8] U [162.1, 170.1]
99% prob:[80.7, 111.0] U [159.0, 159.4] U [160.1, 171.6]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\alpha [^{\circ}]
90.7 \pm 1.8
95% prob:[86.7, 94.2]
99% prob:[84.7, 96.2]
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SM Fit prediction for \,\alpha [^{\circ}]
89.3 \pm 2.0
95% prob:[85.0, 93.5]
99% prob:[83.2, 95.7] U [95.7, 95.9]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\alpha [^{\circ}]
{\rm pull}(\alpha ) = -1.2

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Full Fit result for \,\beta [^{\circ}]
22.40 \pm 0.70
95% prob:[21.02, 23.81]
99% prob:[20.35, 24.56]
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SM Fit prediction for \,\beta [^{\circ}]
24.8 \pm 1.5
95% prob:[21.8, 27.9]
99% prob:[20.6, 29.5]
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Fit Input for \,\gamma [^{\circ}]
71.0 \pm 5.0
95% prob:[61.1, 81.2]
99% prob:[56.0, 86.0]
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Full Fit result for \,\gamma [^{\circ}]
66.9 \pm 1.8
95% prob:[63.4, 70.7]
99% prob:[61.6, 72.8]
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SM Fit prediction for \,\gamma [^{\circ}]
66.1 \pm 1.9
95% prob:[62.6, 70.4]
99% prob:[60.8, 72.5] U [72.7, 72.8]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\gamma [^{\circ}]
{\rm pull}(\gamma ) = -1.0

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Full fit result for \,J_{cp}\cdot10^{5}
3.098 \pm 0.078
95% prob:[2.948, 3.257]
99% prob:[2.872, 3.334]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,2\beta+\gamma [^{\circ}]
-90 \pm 56 \text{ and } 94 \pm 52
95% prob:[-166, 166]
99% prob:[-179, 179]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,2\beta+\gamma [^{\circ}]
111.7 \pm 2.1
95% prob:[107.5, 116.3]
99% prob:[105.5, 118.5]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,2\beta+\gamma [^{\circ}]
111.8 \pm 2.1
95% prob:[107.7, 116.4]
99% prob:[105.5, 118.5]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,2\beta+\gamma [^{\circ}]
{\rm pull}(2\beta+\gamma ) = +0.3

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Fit Input for \,\sin(2\beta)
0.687 \pm 0.020
95% prob:[0.648, 0.728]
99% prob:[0.629, 0.749]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\sin(2\beta)
0.703 \pm 0.016
95% prob:[0.670, 0.739]
99% prob:[0.652, 0.756]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\sin(2\beta)
0.761 \pm 0.035
95% prob:[0.693, 0.831]
99% prob:[0.659, 0.861]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\sin(2\beta)
{\rm pull}(sin(2\beta)) = +1.8

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Fit Input for \,\cos(2\beta)
0.88 \pm 0.11
95% prob:[0.54, 0.99]
99% prob:[0.31, 0.99]
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Full Fit result for \,\cos(2\beta)
0.709 \pm 0.017
95% prob:[0.674, 0.743]
99% prob:[0.654, 0.758]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\cos(2\beta)
0.644 \pm 0.041
95% prob:[0.562, 0.724]
99% prob:[0.516, 0.754]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\cos(2\beta)
{\rm pull}(cos(2\beta)) = -2.0

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Fit Input for \,\beta_{s} [^{\circ}]
1.94 \pm 0.63
95% prob:0
99% prob:0
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Prediction for \,\beta_{s} [^{\circ}]
1.064 \pm 0.033
95% prob:[1.000, 1.131]
99% prob:[0.971, 1.167]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,m_{t}\mathrm{ [GeV/c^{2}]}
Gaussian likelihood used
165.30 \pm 0.40

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Full Fit result for \,m_{t}\mathrm{ [GeV/c^{2}]}
165.10 \pm 0.40
95% prob:[164.50, 166.10]
99% prob:[164.10, 166.50]
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}
0.756 \pm 0.016
95% prob:[0.725, 0.788]
99% prob:[0.709, 0.804]
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Full Fit result for \,B_{k}
0.763 \pm 0.015
95% prob:[0.733, 0.795]
99% prob:[0.718, 0.810]
EPS - PDF - PNG - JPG - GIF



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



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

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Fit Input for \,f_{B_{s}}
Gaussian likelihood used
0.2301 \pm 0.0011

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Full Fit result for \,f_{B_{s}}
0.2298 \pm 0.0012
95% prob:[0.2273, 0.2322]
99% prob:[0.2265, 0.2332]
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
1.2079 \pm 0.0050

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Full Fit result for \,f_{B_{s}}/f_{B_{d}}
1.2079 \pm 0.0050
95% prob:[1.1990, 1.2180]
99% prob:[1.1939, 1.2230]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,f_{B_{s}}/f_{B_{d}}
-
95% prob:0
99% prob:0
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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}}
1.050 \pm 0.028
95% prob:[0.995, 1.110]
99% prob:[0.968, 1.143]
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}}
0.840 \pm 0.020
95% prob:[0.800, 0.883]
99% prob:[0.780, 0.903]
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}
0.756 \pm 0.016
95% prob:[0.725, 0.788]
99% prob:[0.709, 0.804]
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Full Fit result for \,B_{k}
0.763 \pm 0.015
95% prob:[0.733, 0.795]
99% prob:[0.718, 0.810]
EPS - PDF - PNG - JPG - GIF



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



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

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Fit Input for \,|\epsilon_{k}|\cdot 10^{3}
2.228 \pm 0.011
95% prob:[2.206, 2.251]
99% prob:[2.196, 2.258]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,|\epsilon_{k}|\cdot 10^{3}
2.226 \pm 0.010
95% prob:[2.204, 2.248]
99% prob:[2.193, 2.259]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|\epsilon_{k}|\cdot 10^{3}
-
95% prob:0
99% prob:0
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Compatibility Plot for \,|\epsilon_{k}|\cdot 10^{3}
{\rm pull}(|\epsilon_{k}|\cdot 10^{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 0.025
95% prob:[17.714, 17.797]
99% prob:[17.693, 17.819]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\Delta m_{s} \mathrm{[ps^{-1}]}
18.14 \pm 0.82
95% prob:[16.48, 19.82]
99% prob:[15.66, 20.73]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\Delta\Gamma_{d}/\Gamma_{d}
0.00100 \pm 0.00999
95% prob:0
99% prob:0
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Prediction for \,\Delta\Gamma_{d}/\Gamma_{d}
0.00526 \pm 0.00059
95% prob:[0.00422, 0.00650] U [0.00655, 0.00656]
99% prob:[0.00408, 0.00700]
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}
0.162 \pm 0.018
95% prob:[0.130, 0.203]
99% prob:[0.122, 0.225]
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}}
-0.000311 \pm 0.000031
95% prob:[-0.000387, -0.000258]
99% prob:[-0.000426, -0.000244]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,A_{SL_{d}}
-0.000311 \pm 0.000031
95% prob:[-0.000387, -0.000258]
99% prob:[-0.000426, -0.000244]
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}}
0.0000138 \pm 0.0000013
95% prob:[0.0000115, 0.0000172]
99% prob:[0.0000108, 0.0000190]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,A_{SL_{s}}
0.0000138 \pm 0.0000013
95% prob:[0.0000115, 0.0000172]
99% prob:[0.0000108, 0.0000190]
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}
0.861 \pm 0.047
95% prob:[0.771, 0.960]
99% prob:[0.728, 1.012]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B(B\rightarrow\tau\nu)\cdot 10^{4}
0.853 \pm 0.048
95% prob:[0.760, 0.950]
99% prob:[0.719, 1.004]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B(B\rightarrow\tau\nu)\cdot 10^{4}
| %${\rm pull}(B(B\rightarrow\tau u)\cdot 10^{4}) = -1.0$%

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

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Full Fit result for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
3.98 \pm 0.11
95% prob:[3.76900, 4.20899]
99% prob:[3.66999, 4.34100]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
4.01 \pm 0.11
95% prob:[3.78, 4.24]
99% prob:[3.68, 4.37] U [4.39, 4.39]
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}) = +1.5

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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}
0.1105 \pm 0.0034
95% prob:[0.1039, 0.1174]
99% prob:[0.1005, 0.1210]
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SM Fit prediction for \,B(B_{d}\rightarrow ll)\cdot10^{9}
0.1107 \pm 0.0035
95% prob:[0.104100, 0.117800]
99% prob:[0.100900, 0.121300] U [0.121600, 0.121900]
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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