Standard Model Fit (hepfit) results: Summer 2022

Parameter Input value Full fit SM Prediction Pull
\bar{\rho} - - 0.1613 \pm 0.0092 -
\bar{\eta} - - 0.3469 \pm 0.0095 -
\rho - - 0.1653 \pm 0.0095 -
\eta - - 0.3559 \pm 0.0099 -
A - - 0.828 \pm 0.010 -
\lambda - - 0.22514 \pm 0.00084 +0.1
|V_{ud}| 0.97433 \pm 0.00019 - 0.97430 \pm 0.00020 -0.1
\sin\theta_{12} - - 0.22514 \pm 0.00084 -
\sin\theta_{23} - - 0.04199 \pm 0.00045 -
\sin\theta_{13} - - 0.003713 \pm 0.000091 -
\delta [^{\circ}] - - 1.135 \pm 0.021 -
|V_{ub}| 0.00376 \pm 0.00024 0.003713 \pm 0.000091 0.003723 \pm 0.000098 -0.2
|V_{cb}| 0.04125 \pm 0.00094 0.04200 \pm 0.00044 0.04207 \pm 0.00051 +0.7
\alpha [^{\circ}] 94.9 \pm 4.7 92.4 \pm 1.3 92.1 \pm 1.5 -0.6
\beta [^{\circ}] - 22.47 \pm 0.65 22.54 \pm 0.66 -
\gamma [^{\circ}] 66.1 \pm 3.4 65.0 \pm 1.2 64.4 \pm 2.1 -0.4
J_{cp}\cdot10^{5} - - 0.00003103 \pm 0.00000077 -
2\beta+\gamma [^{\circ}] - - - -
\sin(2\beta) 0.687 \pm 0.020 0.706 \pm 0.015 0.706 \pm 0.015 +0.7
\cos(2\beta) - - - -
m_{c}\mathrm{ [GeV/c^{2}]} 1.2900 \pm 0.0070 - - -
m_{b}\mathrm{ [GeV/c^{2}]} 4.196 \pm 0.014 - - -
m_{t}\mathrm{ [GeV/c^{2}]} - - - -
f_{B_{s}} 0.2301 \pm 0.0011 0.2298 \pm 0.0011 0.2298 \pm 0.0011 -0.2
f_{B_{s}}/f_{B_{d}} 1.2079 \pm 0.0050 1.2079 \pm 0.0050 1.218 \pm 0.025 +0.4
B_{B_{s}}/B_{B_{d}} 1.014 \pm 0.021 1.020 \pm 0.018 1.044 \pm 0.039 +0.6
B_{B_{s}} 0.888 \pm 0.040 0.845 \pm 0.018 0.852 \pm 0.027 -0.8
B_{k} 0.552 \pm 0.012 0.557 \pm 0.011 0.615 \pm 0.041 +1.4
|\epsilon_{k}| 0.002228 \pm 0.000011 0.002226 \pm 0.000010 0.002226 \pm 0.000010 -0.1
\epsilon^{\prime}/\epsilon 0.00166 \pm 0.00033 0.00161 \pm 0.00027 0.00158 \pm 0.00045 -0.3
\Delta m_{s} \mathrm{[ps^{-1}]} 17.741 \pm 0.020 17.739 \pm 0.020 17.96 \pm 0.66 +0.3
\Delta m_{d} \mathrm{[ps^{-1}]} 0.5064 \pm 0.0019 0.5065 \pm 0.0018 0.520 \pm 0.022 +0.5
B(B\rightarrow\tau\nu) 0.000106 \pm 0.000019 0.0000881 \pm 0.0000044 0.0000871 \pm 0.0000046 -1.0
\bar {B}(B_{s}\rightarrow ll)\cdot10^{9} 0.0000000034 \pm 0.0000000003 0.0000000034 \pm 0.0000000001 0.0000000034 \pm 0.0000000001 +0.1

CKM matrix thus looks like V_{CKM}=\left(\begin{array}{ccc} (0.97431 \pm 0.00018) & (0.22517 \pm 0.00080) & (0.003721 \pm 0.000098)e^{i(-1.135 \pm 0.022)^\circ}\\ ( -0.22502 \pm 0.00078)e^{i(-3.140980 \pm 0.000015)^\circ} & (0.97344 \pm 0.00018)e^{i(-0.00003268 \pm 0.00000081)^\circ} & (0.04207 \pm 0.00051) \\ (0.00858 \pm 0.00010)e^{i(-0.391 \pm 0.011)^\circ} & ( -0.04127 \pm 0.00043)e^{i(-3.12325 \pm 0.00050)^\circ} & (0.999110 \pm 0.000018)\end{array}\right)




Full fit result for \,\bar{\rho}
0.1613 \pm 0.0092
95% prob:[0.1429, 0.1797]
99% prob:[0.1343, 0.1885]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\bar{\eta}
0.3469 \pm 0.0095
95% prob:[0.3279, 0.3664]
99% prob:[0.3184, 0.3772]
EPS - PDF - PNG - JPG - GIF




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



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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
0.1653 \pm 0.0095
95% prob:[0.1464, 0.1842]
99% prob:[0.1376, 0.1933]
EPS - PDF - PNG - JPG - GIF



Full fit result for \,\eta
0.3559 \pm 0.0099
95% prob:[0.3364, 0.3759]
99% prob:[0.3269, 0.3871]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,A
0.828 \pm 0.010
95% prob:[0.807, 0.850]
99% prob:[0.795, 0.795] U [0.795, 0.861]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\lambda
0.22514 \pm 0.00084
95% prob:[0.22354, 0.22674]
99% prob:[0.22277, 0.22764]
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Fit Input for \,|V_{ud}|
0.97433 \pm 0.00019
95% prob:0
99% prob:0
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Prediction for \,|V_{ud}|
0.97430 \pm 0.00020
95% prob:[0.97393, 0.97467]
99% prob:[0.97374, 0.97485]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{12}
0.22514 \pm 0.00084
95% prob:[0.22354, 0.22674]
99% prob:[0.22277, 0.22764]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\sin\theta_{23}
0.04199 \pm 0.00045
95% prob:[0.04111, 0.04290]
99% prob:[0.04067, 0.04333]
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Full fit result for \,\sin\theta_{13}
0.003713 \pm 0.000091
95% prob:[0.003534, 0.003895]
99% prob:[0.003450, 0.003984]
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Full fit result for \,\delta [^{\circ}]
1.135 \pm 0.021
95% prob:[1.092, 1.181]
99% prob:[1.070, 1.201]
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Fit Input for \,|V_{ub}|
Gaussian likelihood used
0.00376 \pm 0.00024

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Full Fit result for \,|V_{ub}|
0.003713 \pm 0.000091
95% prob:[0.003534, 0.003894]
99% prob:[0.003453, 0.003977]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|V_{ub}|
0.003723 \pm 0.000098
95% prob:[0.003532, 0.003922]
99% prob:[0.003437, 0.004024]
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Compatibility Plot for \,|V_{ub}|
{\rm pull}(|V_{ub}|) = -0.2

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Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.04125 \pm 0.00094

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Full Fit result for \,|V_{cb}|
0.04200 \pm 0.00044
95% prob:[0.04112, 0.04290]
99% prob:[0.04069, 0.04332]
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SM Fit prediction for \,|V_{cb}|
0.04207 \pm 0.00051
95% prob:[0.04106, 0.04311]
99% prob:[0.04059, 0.04360]
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Compatibility Plot for \,|V_{cb}|
{\rm pull}(|V_{cb}|) = +0.7

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Fit Input for \,\alpha [^{\circ}]
Gaussian likelihood used
94.9 \pm 4.7

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Full Fit result for \,\alpha [^{\circ}]
92.4 \pm 1.3
95% prob:[89.7, 95.3]
99% prob:[88.3, 96.7]
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SM Fit prediction for \,\alpha [^{\circ}]
92.1 \pm 1.5
95% prob:[89.1, 95.2]
99% prob:[87.7, 96.7]
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Compatibility Plot for \,\alpha [^{\circ}]
{\rm pull}(\alpha ) = -0.6

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Full Fit result for \,\beta [^{\circ}]
22.47 \pm 0.65
95% prob:[21.21, 23.79]
99% prob:[20.59, 24.43]
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SM Fit prediction for \,\beta [^{\circ}]
22.54 \pm 0.66
95% prob:[21.23, 23.90]
99% prob:[20.60, 24.58]
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Fit Input for \,\gamma [^{\circ}]
Gaussian likelihood used
66.1 \pm 3.4

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Full Fit result for \,\gamma [^{\circ}]
65.0 \pm 1.2
95% prob:[62.5, 67.6]
99% prob:[61.2, 68.8]
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SM Fit prediction for \,\gamma [^{\circ}]
64.4 \pm 2.1
95% prob:[60.0, 68.9]
99% prob:[57.6, 71.3]
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Compatibility Plot for \,\gamma [^{\circ}]
{\rm pull}(\gamma ) = -0.4

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Full fit result for \,J_{cp}\cdot10^{5}
0.00003103 \pm 0.00000077
95% prob:[0.00002949, 0.00003260]
99% prob:[0.00002879, 0.00003334]
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Full fit result for \,2\beta+\gamma [^{\circ}]
-
95% prob:0
99% prob:0
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Fit Input for \,\sin(2\beta)
Gaussian likelihood used
0.687 \pm 0.020

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Full Fit result for \,\sin(2\beta)
0.706 \pm 0.015
95% prob:[0.674, 0.738]
99% prob:[0.658, 0.753]
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SM Fit prediction for \,\sin(2\beta)
0.706 \pm 0.015
95% prob:[0.674, 0.738]
99% prob:[0.658, 0.753]
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Compatibility Plot for \,\sin(2\beta)
{\rm pull}(sin(2\beta)) = +0.7

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Full fit result for \,\cos(2\beta)
-
95% prob:0
99% prob:0
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Full fit result for \,m_{t}\mathrm{ [GeV/c^{2}]}
-
95% prob:0
99% prob:0
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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 0.0011
95% prob:[0.2275, 0.2321]
99% prob:[0.2264, 0.2331]
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SM Fit prediction for \,f_{B_{s}}
0.2298 \pm 0.0011
95% prob:[0.2275, 0.2322]
99% prob:[0.2263, 0.2334]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,f_{B_{s}}
{\rm pull}(f_{B_{s}}) = -0.2

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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:[1.1986, 1.2180]
99% prob:[1.1938, 1.2228]
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SM Fit prediction for \,f_{B_{s}}/f_{B_{d}}
1.218 \pm 0.025
95% prob:[1.169, 1.269]
99% prob:[1.143, 1.297]
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Compatibility Plot for \,f_{B_{s}}/f_{B_{d}}
{\rm pull}(f_{B_{s}}/f_{B_{d}}) = +0.4

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Fit Input for \,B_{B_{s}}/B_{B_{d}}
Gaussian likelihood used
1.014 \pm 0.021

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Full Fit result for \,B_{B_{s}}/B_{B_{d}}
1.020 \pm 0.018
95% prob:[0.983, 1.057]
99% prob:[0.965, 1.075]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B_{B_{s}}/B_{B_{d}}
1.044 \pm 0.039
95% prob:[0.965, 1.126]
99% prob:[0.926, 1.171]
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Compatibility Plot for \,B_{B_{s}}/B_{B_{d}}
{\rm pull}(B_{B_{s}}/B_{B_{d}}) = +0.6

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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}}
0.845 \pm 0.018
95% prob:[0.808, 0.883]
99% prob:[0.790, 0.901]
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SM Fit prediction for \,B_{B_{s}}
0.852 \pm 0.027
95% prob:[0.797, 0.906]
99% prob:[0.771, 0.936]
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Compatibility Plot for \,B_{B_{s}}
{\rm pull}(B_{B_{s}}) = -0.8

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Fit Input for \,B_{k}
0.552 \pm 0.012
95% prob:0
99% prob:0
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Full Fit result for \,B_{k}
0.557 \pm 0.011
95% prob:[0.534, 0.580]
99% prob:[0.524, 0.589] U [0.589, 0.590]
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SM Fit prediction for \,B_{k}
0.615 \pm 0.041
95% prob:[0.533, 0.699]
99% prob:[0.499, 0.743]
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Compatibility Plot for \,B_{k}
{\rm pull}(B_{k}) = +1.4

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Fit Input for \,|\epsilon_{k}|
0.002228 \pm 0.000011
95% prob:0
99% prob:0
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Full Fit result for \,|\epsilon_{k}|
0.002226 \pm 0.000010
95% prob:[0.002205, 0.002248]
99% prob:[0.002194, 0.002259]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,|\epsilon_{k}|
0.002226 \pm 0.000010
95% prob:[0.002205, 0.002248]
99% prob:[0.002193, 0.002259]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,|\epsilon_{k}|
{\rm pull}(|\epsilon_{k}|) = -0.1

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Fit Input for \,\epsilon^{\prime}/\epsilon
Gaussian likelihood used
0.00166 \pm 0.00033

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Full Fit result for \,\epsilon^{\prime}/\epsilon
0.00161 \pm 0.00027
95% prob:[0.00108, 0.00215]
99% prob:[0.00085, 0.00243]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\epsilon^{\prime}/\epsilon
0.00158 \pm 0.00045
95% prob:[0.00072, 0.00250]
99% prob:[0.00044, 0.00304]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\epsilon^{\prime}/\epsilon
{\rm pull}(\epsilon^{\prime}/\epsilon) = -0.3

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Fit Input for \,\Delta m_{s} \mathrm{[ps^{-1}]}
Gaussian likelihood used
17.741 \pm 0.020

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Full Fit result for \,\Delta m_{s} \mathrm{[ps^{-1}]}
17.739 \pm 0.020
95% prob:[17.702, 17.781]
99% prob:[17.681, 17.801]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\Delta m_{s} \mathrm{[ps^{-1}]}
17.96 \pm 0.66
95% prob:[16.64, 19.34]
99% prob:[15.98, 20.12]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\Delta m_{d} \mathrm{[ps^{-1}]}
0.5064 \pm 0.0019
95% prob:0
99% prob:0
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Full Fit result for \,\Delta m_{d} \mathrm{[ps^{-1}]}
0.5065 \pm 0.0018
95% prob:[0.5027, 0.5103]
99% prob:[0.5008, 0.5122]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\Delta m_{d} \mathrm{[ps^{-1}]}
0.520 \pm 0.022
95% prob:[0.476, 0.566]
99% prob:[0.455, 0.589]
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Compatibility Plot for \,\Delta m_{d} \mathrm{[ps^{-1}]}
{\rm pull}(\Delta m_{d} ) = +0.5

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Fit Input for \,B(B\rightarrow\tau\nu)
Gaussian likelihood used
0.000106 \pm 0.000019

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Full Fit result for \,B(B\rightarrow\tau\nu)
0.0000881 \pm 0.0000044
95% prob:[0.0000793, 0.0000971]
99% prob:[0.0000755, 0.0001019]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B(B\rightarrow\tau\nu)
0.0000871 \pm 0.0000046
95% prob:[0.0000780, 0.0000965]
99% prob:[0.0000740, 0.0001014]
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Compatibility Plot for \,B(B\rightarrow\tau\nu)
| %${\rm pull}(B(B\rightarrow\tau u)) = -1.0$%

|
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Fit Input for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
Gaussian likelihood used
0.0000000034 \pm 0.0000000003

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Full Fit result for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
0.0000000034 \pm 0.0000000001
95% prob:[0.0000000032, 0.0000000036]
99% prob:[0.0000000031, 0.0000000037]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\bar {B}(B_{s}\rightarrow ll)\cdot10^{9}
0.0000000034 \pm 0.0000000001
95% prob:[0.0000000031, 0.0000000036]
99% prob:[0.0000000030, 0.0000000037]
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}) = +0.1

EPS - PDF - PNG - JPG - GIF

 
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