Standard Model Fit results (Exclusive only): Summer 2022

Parameter Input value Full fit SM Prediction Pull
\bar{\rho} - - 0.1618 \pm 0.0097 -
\bar{\eta} - - 0.354 \pm 0.011 -
A - - 0.8156 \pm 0.0080 -
\lambda 0.22504 \pm 0.00079 - 0.22500 \pm 0.00080 -0.1
|V_{ub}| 0.00373 \pm 0.00017 - 0.00370 \pm 0.00010 -0.3
|V_{cb}| 0.03944 \pm 0.00063 - 0.04263 \pm 0.00051 +1.2
B_{k} 0.756 \pm 0.016 0.772 \pm 0.016 0.831 \pm 0.054 +1.3
\alpha [^{\circ}] 94.9 \pm 4.7 \text{ and } 165.6 \pm 1.3 91.3 \pm 1.2 90.8 \pm 1.3 -0.9
\beta [^{\circ}] - 23.04 \pm 0.57 24.57 \pm 0.90 -
\sin(2\beta) 0.687 \pm 0.020 0.719 \pm 0.014 0.754 \pm 0.020 +2.3
\cos(2\beta) 0.88 \pm 0.11 0.693 \pm 0.014 0.653 \pm 0.023 -2.0
2\beta+\gamma [^{\circ}] -90 \pm 56 \text{ and } 94 \pm 52 - - -
\gamma [^{\circ}] 65.7 \pm 3.4 - 64.9 \pm 1.3 -0.3
B(B\rightarrow\tau\nu) 10^{-4} 1.09 \pm 0.24 0.895 \pm 0.041 - -

CKM matrix thus looks like V_{CKM}=\left(\begin{array}{ccc} (0.97434 \pm 0.00015) & (0.22501 \pm 0.00074) & (0.003697 \pm 0.000099)e^{i(-65.4 \pm 1.2)^\circ}\\ ( -0.22492 \pm 0.00074)e^{i(0.03490 \pm 0.00078)^\circ} & (0.97350 \pm 0.00014)e^{i(-0.001872 \pm 0.000038)^\circ} & (0.04263 \pm 0.00050) \\ (0.008485 \pm 0.000095)e^{i(-23.16 \pm 0.50)^\circ} & ( -0.04074 \pm 0.00033)e^{i(1.076 \pm 0.026)^\circ} & (0.999130 \pm 0.000012)\end{array}\right)




Full fit result for \,\bar{\rho}
0.1618 \pm 0.0097
95% prob:[0.1429, 0.1799]
99% prob:[0.1371, 0.1897]
EPS - PDF - PNG - JPG - GIF




Full fit result for \,\bar{\eta}
0.354 \pm 0.011
95% prob:[0.333, 0.375]
99% prob:[0.325, 0.382]
EPS - PDF - PNG - JPG - GIF



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



EPS - PDF - PNG - JPG - GIF




Full fit result for \,A
0.8156 \pm 0.0080
95% prob:[0.7986, 0.8335]
99% prob:[0.7906, 0.8405]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\lambda
0.22504 \pm 0.00079
95% prob:[0.22346, 0.22673]
99% prob:[0.22267, 0.22752]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\lambda
0.22500 \pm 0.00080
95% prob:[0.22356, 0.22663]
99% prob:[0.22277, 0.22742]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,|V_{ub}|
0.00373 \pm 0.00017
95% prob:[0.00339, 0.00407]
99% prob:[0.00323, 0.00424]
EPS - PDF - PNG - JPG - GIF



Prediction for \,|V_{ub}|
0.00370 \pm 0.00010
95% prob:[0.003503, 0.003899]
99% prob:[0.003410, 0.004004]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,|V_{cb}|
Gaussian likelihood used
0.03944 \pm 0.00063

EPS - PDF - PNG - JPG - GIF



Prediction for \,|V_{cb}|
0.04263 \pm 0.00051
95% prob:[0.04162, 0.04364]
99% prob:[0.04114, 0.04416]
EPS - PDF - PNG - JPG - GIF




Fit Input for \,B_{k}
0.756 \pm 0.016
95% prob:[0.736, 0.797]
99% prob:[0.720, 0.812]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,B_{k}
0.772 \pm 0.016
95% prob:[0.743, 0.803]
99% prob:[0.733, 0.815]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B_{k}
0.831 \pm 0.054
95% prob:[0.724, 0.939]
99% prob:[0.670, 0.994]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,B_{k}
{\rm pull}(B_{k}) = +1.3

EPS - PDF - PNG - JPG - GIF




Fit Input for \,\alpha [^{\circ}]
94.9 \pm 4.7 \text{ and } 165.6 \pm 1.3
95% prob:[86.0, 104.3] U [161.9, 169.4]
99% prob:[81.2, 110.7] U [158.6, 159.5] U [159.9, 171.0]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\alpha [^{\circ}]
91.3 \pm 1.2
95% prob:[88.9, 94.0]
99% prob:[87.4, 95.0]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\alpha [^{\circ}]
90.8 \pm 1.3
95% prob:[88.0, 93.5]
99% prob:[86.9, 94.9]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\alpha [^{\circ}]
{\rm pull}(\alpha ) = -0.9

EPS - PDF - PNG - JPG - GIF




Full Fit result for \,\beta [^{\circ}]
23.04 \pm 0.57
95% prob:[21.90, 24.21]
99% prob:[21.37, 24.85]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\beta [^{\circ}]
24.57 \pm 0.90
95% prob:[22.86, 26.40]
99% prob:[22.01, 27.31]
EPS - PDF - PNG - JPG - GIF




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)
0.719 \pm 0.014
95% prob:[0.693, 0.749]
99% prob:[0.680, 0.763]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\sin(2\beta)
0.754 \pm 0.020
95% prob:[0.717, 0.797]
99% prob:[0.696, 0.815]
EPS - PDF - PNG - JPG - GIF



Compatibility Plot for \,\sin(2\beta)
{\rm pull}(sin(2\beta)) = +2.3

EPS - PDF - PNG - JPG - GIF




Fit Input for \,\cos(2\beta)
0.88 \pm 0.11
95% prob:[0.54, 0.99]
99% prob:[0.31, 0.99]
EPS - PDF - PNG - JPG - GIF



Full Fit result for \,\cos(2\beta)
0.693 \pm 0.014
95% prob:[0.662, 0.720] U [0.723, 0.724]
99% prob:[0.647, 0.734]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,\cos(2\beta)
0.653 \pm 0.023
95% prob:[0.605, 0.698]
99% prob:[0.577, 0.578] U [0.579, 0.718]
EPS - PDF - PNG - JPG - GIF



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

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



Prediction for \,2\beta+\gamma [^{\circ}]
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF




Fit Input for \,\gamma [^{\circ}]
65.7 \pm 3.4
95% prob:[59.0, 72.7]
99% prob:[55.5, 75.7]
EPS - PDF - PNG - JPG - GIF



Prediction for \,\gamma [^{\circ}]
64.9 \pm 1.3
95% prob:[62.1, 67.6]
99% prob:[60.8, 69.0]
EPS - PDF - PNG - JPG - GIF




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

EPS - PDF - PNG - JPG - GIF



Full Fit result for \,B(B\rightarrow\tau\nu) 10^{-4}
0.895 \pm 0.041
95% prob:[0.813, 0.978]
99% prob:[0.780, 1.024]
EPS - PDF - PNG - JPG - GIF



SM Fit prediction for \,B(B\rightarrow\tau\nu) 10^{-4}
-
95% prob:0
99% prob:0
EPS - PDF - PNG - JPG - GIF



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

|
EPS - PDF - PNG - JPG - GIF

 
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