ResultsSummer2013PostEPS < UTfit

Fit results: Summer 2013 (post-EPS13)

Parameter	Input value	Full fit	SM Prediction
$\bar{\rho}$		$0.127 \pm 0.023$
$\bar{\eta}$		$0.353 \pm 0.014$
$\rho$		$0.13 \pm 0.024$
$\eta$		$0.362 \pm 0.014$
		$0.822 \pm 0.012$
$\lambda$	$0.2253 \pm 0.0009$	$0.22535 \pm 0.00065$
$\|V_{ub}\|$	$0.00375 \pm 0.00046$	$0.00362 \pm 0.00012$	$0.00361 \pm 0.00012$
$\|V_{cb}\|$	$0.0409 \pm 0.001$	$0.04172 \pm 0.00056$	$0.04212 \pm 0.0007$
$\sin\theta_{12}$		$0.22535 \pm 0.00059$
$\sin\theta_{23}$		$0.04173 \pm 0.00057$
$\sin\theta_{13}$		$0.00362 \pm 0.00012$
$\delta [^{\circ}]$		$70.3 \pm 3.5$
$m_{b}\mathrm{ [GeV/c^{2}]}$	$4.19 \pm 0.04$
$m_{c}\mathrm{ [GeV/c^{2}]}$	$1.28 \pm 0.04$
$m_{t}\mathrm{ [GeV/c^{2}]}$	$164.1 \pm 0.9$	$164.1 \pm 0.9$	$161.8 \pm 7.1$
$\Delta m_{s} \mathrm{[ps^{-1}]}$	$17.768 \pm 0.024$	$17.768 \pm 0.024$	$17.4 \pm 1.1$
$\Delta m_{d} \mathrm{[ps^{-1}]}$	$0.51 \pm 0.004$
$\Delta m_{K} \mathrm{[ps^{-1}]}$	$1.8 \pm 1.8$
$f_{B_{s}}$	$0.2277 \pm 0.0045$	$0.2272 \pm 0.0039$	$0.2266 \pm 0.0075$
$f_{B_{s}}/f_{B_{d}}$	$1.202 \pm 0.022$	$1.199 \pm 0.021$	$1.183 \pm 0.061$
$B_{B_{s}}/B_{B_{d}}$	$1.06 \pm 0.11$	$1.109 \pm 0.063$	$1.136 \pm 0.077$
$B_{B_{s}}$	$0.875 \pm 0.04$	$0.876 \pm 0.029$	$0.876 \pm 0.046$
$B_{k}$	$0.766 \pm 0.010$	$0.766 \pm 0.011$	$0.836 \pm 0.078$
$\alpha [^{\circ}]$	$90.9 \pm 8.0$	$87.7 \pm 3.3$	$86.3 \pm 3.8$
$\beta [^{\circ}]$		$22.01 \pm 0.86$	$24.4 \pm 1.8$
$\sin(2\beta)$	$0.68 \pm 0.023$	$0.695 \pm 0.021$	$0.754 \pm 0.042$
$\cos(2\beta)$	$0.87 \pm 0.13$	$0.719 \pm 0.021$	$0.66 \pm 0.048$
$2\beta+\gamma [^{\circ}]$	$-89 \pm 54 \text{ and } 90 \pm 54$	$114.2 \pm 3.4$	$114.4 \pm 3.4$
$\gamma [^{\circ}]$	$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$	$70.3 \pm 3.5$	$69.8 \pm 3.9$
$\|\epsilon_{k}\|$	$2.228 \pm 0.011$	$2.228 \pm 0.039$	$2.04 \pm 0.19$
$B(B\rightarrow\tau\nu), 10^{-4}$	$1.14 \pm 0.22$	$0.834 \pm 0.071$	$0.806 \pm 0.07$
$J_{cp}, 10^{-5}$		$3.12 \pm 0.09$
$B(B_{s}\rightarrow ll), 10^{-9}$	$2.9 \pm 0.7$	$3.87 \pm 0.16$	$3.91 \pm 0.16$
$B(B_{d}\rightarrow ll), 10^{-9}$	$0.37 \pm 0.15$	$0.1142 \pm 0.0069$	$0.1145 \pm 0.007$
$\Delta\Gamma_{d}/\Gamma_{d}$		$0.00516 \pm 0.00037$
$\Delta\Gamma_{s}/\Gamma_{s}$		$0.152 \pm 0.013$
$\beta_{s} [^{\circ}]$		$1.073 \pm 0.042$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.97426 \pm 0.00014) & (0.22535 \pm 0.00059) & (0.00362 \pm 0.00012)e^{i(-70.2 \pm 3.3)^\circ}\\ ( -0.22525 \pm 0.00059)e^{i(0.0352 \pm 0.001)^\circ} & (0.97342 \pm 0.00013)e^{i(-0.00188333 \pm 0.00005)^\circ} & (0.04172 \pm 0.00056) \\ (0.00884 \pm 0.00019)e^{i(-22.0 \pm 0.8)^\circ} & ( -0.04092 \pm 0.00057)e^{i(1.071 \pm 0.042)^\circ} & (0.999121 \pm 0.000021)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.127 \pm 0.023$ 95% prob:[0.085, 0.175] 99% prob:[0.062, 0.197]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$0.353 \pm 0.014$ 95% prob:[0.326, 0.381] 99% prob:[0.314, 0.396]
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Full fit result for $\,\bar{\rho} - \bar{\eta}$

$\bar\rho=0.127 \pm 0.023$ $\bar\eta=0.353 \pm 0.014$
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Angles only result for $\,\bar{\rho} - \bar{\eta}$

$\bar\rho=0.134 \pm 0.029$ $\bar\eta=0.339 \pm 0.017$
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Sides only result for $\,\bar{\rho} - \bar{\eta}$

$\bar\rho=0.144 \pm 0.046$ $\bar\eta=0.376 \pm 0.030$
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Full fit result for $\,\rho$

$0.13 \pm 0.024$ 95% prob:[0.087, 0.179] 99% prob:[0.064, 0.202]
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Full fit result for $\,\eta$

$0.362 \pm 0.014$ 95% prob:[0.334, 0.390] 99% prob:[0.322, 0.406]
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Full fit result for $\,A$

$0.822 \pm 0.012$ 95% prob:[0.798, 0.846] 99% prob:[0.785, 0.858]
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Fit Input for $\,\lambda$

$0.2253 \pm 0.0009$ 95% prob:[0.2235, 0.2271] 99% prob:[0.2226, 0.228]
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Full Fit result for $\,\lambda$

$0.22535 \pm 0.00065$ 95% prob:[0.2241, 0.2266] 99% prob:[0.2235, 0.2273]
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Fit Input for $\,\|V_{ub}\|$

Gaussian likelihood used $0.00375 \pm 0.00046$
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Full Fit result for $\,\|V_{ub}\|$

$0.00362 \pm 0.00012$ 95% prob:[0.00339, 0.00388] 99% prob:[0.00328, 0.00402]
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SM Fit prediction for $\,\|V_{ub}\|$

$0.00361 \pm 0.00012$ 95% prob:[0.00337, 0.00387] 99% prob:[0.00326, 0.00402]
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Compatibility Plot for $\,\|V_{ub}\|$


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Fit Input for $\,\|V_{cb}\|$

Gaussian likelihood used $0.0409 \pm 0.001$
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Full Fit result for $\,\|V_{cb}\|$

$0.04172 \pm 0.00056$ 95% prob:[0.04059, 0.04285] 99% prob:[0.04006, 0.04341]
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SM Fit prediction for $\,\|V_{cb}\|$

$0.04204 \pm 0.00069$ 95% prob:[0.04072, 0.04347] 99% prob:[0.04003, 0.0441]
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Compatibility Plot for $\,\|V_{cb}\|$


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Full fit result for $\,\sin\theta_{12}$

$0.22535 \pm 0.00059$ 95% prob:[0.22415, 0.22663] 99% prob:[0.22346, 0.22722]
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Full fit result for $\,\sin\theta_{23}$

$0.04173 \pm 0.00057$ 95% prob:[0.04060, 0.04286] 99% prob:[0.04006, 0.04341]
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Full fit result for $\,\sin\theta_{13}$

$0.00362 \pm 0.00012$ 95% prob:[0.00339, 0.00388] 99% prob:[0.00328, 0.00402]
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Full fit result for $\,\delta [^{\circ}]$

$70.3 \pm 3.5$ 95% prob:[63.1, 76.5] 99% prob:[60.5, 79.7]
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Fit Input for $\,m_{t}\mathrm{ [GeV/c^{2}]}$

Gaussian likelihood used $164.1 \pm 0.9$
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Full Fit result for $\,m_{t}\mathrm{ [GeV/c^{2}]}$

$164.1 \pm 0.9$ 95% prob:[162., 165.] 99% prob:[161., 166.]
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SM Fit prediction for $\,m_{t}\mathrm{ [GeV/c^{2}]}$

$161.8 \pm 7.1$ 95% prob:[148.7, 176.8] 99% prob:[140.2, 142.2] U [143.9, 184.5]
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Compatibility Plot for $\,m_{t}\mathrm{ [GeV/c^{2}]}$


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Fit Input for $\,\Delta m_{s} \mathrm{[ps^{-1}]}$

Gaussian likelihood used $17.768 \pm 0.024$
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Full Fit result for $\,\Delta m_{s} \mathrm{[ps^{-1}]}$

$17.768 \pm 0.024$ 95% prob:[17.72, 17.81] 99% prob:[17.69, 17.84]
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SM Fit prediction for $\,\Delta m_{s} \mathrm{[ps^{-1}]}$

$17.4 \pm 1.1$ 95% prob:[15.2, 19.7] 99% prob:[14.2, 20.9] U [20.9, 21]
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Compatibility Plot for $\,\Delta m_{s} \mathrm{[ps^{-1}]}$


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Fit Input for $\,f_{B_{s}}$

Gaussian likelihood used $0.2277 \pm 0.0045$
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Full Fit result for $\,f_{B_{s}}$

$0.2272 \pm 0.0039$ 95% prob:[0.2201, 0.2349] 99% prob:[0.2165, 0.2388]
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SM Fit prediction for $\,f_{B_{s}}$

$0.2266 \pm 0.0075$ 95% prob:[0.2148, 0.2409] 99% prob:[0.2085, 0.2469]
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Compatibility Plot for $\,f_{B_{s}}$


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Fit Input for $\,f_{B_{s}}/f_{B_{d}}$

Gaussian likelihood used $1.202 \pm 0.022$
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Full Fit result for $\,f_{B_{s}}/f_{B_{d}}$

$1.199 \pm 0.021$ 95% prob:[1.159, 1.242] 99% prob:[1.136, 1.263]
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SM Fit prediction for $\,f_{B_{s}}/f_{B_{d}}$

$1.183 \pm 0.061$ 95% prob:[1.074, 1.321] 99% prob:[1.028, 1.402]
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Compatibility Plot for $\,f_{B_{s}}/f_{B_{d}}$


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Fit Input for $\,B_{B_{s}}/B_{B_{d}}$

Gaussian likelihood used $1.06 \pm 0.11$
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Full Fit result for $\,B_{B_{s}}/B_{B_{d}}$

$1.109 \pm 0.063$ 95% prob:[0.99, 1.234] 99% prob:[0.939, 1.3]
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SM Fit prediction for $\,B_{B_{s}}/B_{B_{d}}$

$1.136 \pm 0.077$ 95% prob:[0.983, 1.287] 99% prob:[0.908, 1.381]
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Compatibility Plot for $\,B_{B_{s}}/B_{B_{d}}$


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Fit Input for $\,B_{B_{s}}$

Gaussian likelihood used $0.875 \pm 0.04$
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Full Fit result for $\,B_{B_{s}}$

$0.876 \pm 0.029$ 95% prob:[0.818, 0.936] 99% prob:[0.791, 0.97]
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SM Fit prediction for $\,B_{B_{s}}$

$0.876 \pm 0.046$ 95% prob:[0.795, 0.976] 99% prob:[0.761, 1.033]
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Compatibility Plot for $\,B_{B_{s}}$


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Fit Input for $\,B_{k}$

$0.766 \pm 0.010$ 95% prob:[0.746, 0.787] 99% prob:[0.74, 0.794]
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Full Fit result for $\,B_{k}$

$0.766 \pm 0.011$ 95% prob:[0.747, 0.787] 99% prob:[0.739, 0.798]
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SM Fit prediction for $\,B_{k}$

$0.836 \pm 0.078$ 95% prob:[0.692, 1.002] 99% prob:[0.632, 1.099]
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Compatibility Plot for $\,B_{k}$


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Fit Input for $\,\alpha [^{\circ}]$

$90.9 \pm 8.0$ 95% prob:[78.5, 103.] U [162, 170.] 99% prob:[72.6, 110.] U [158, 172.] U [178., 180]
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Full Fit result for $\,\alpha [^{\circ}]$

$87.7 \pm 3.3$ 95% prob:[81.6, 94.4] 99% prob:[78.1, 97.6]
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SM Fit prediction for $\,\alpha [^{\circ}]$

$86.3 \pm 3.8$ 95% prob:[78.8, 94.5] 99% prob:[74.8, 98.2]
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Compatibility Plot for $\,\alpha [^{\circ}]$


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Full Fit result for $\,\beta [^{\circ}]$

$22.01 \pm 0.86$ 95% prob:[20.4, 23.8] 99% prob:[19.6, 24.8]
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SM Fit prediction for $\,\beta [^{\circ}]$

$24.4 \pm 1.8$ 95% prob:[20.8, 28.2] 99% prob:[19.2, 30.1]
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Fit Input for $\,\sin(2\beta)$

$0.68 \pm 0.023$ 95% prob:[0.635, 0.729] 99% prob:[0.613, 0.755]
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Full Fit result for $\,\sin(2\beta)$

$0.695 \pm 0.021$ 95% prob:[0.655, 0.74] 99% prob:[0.635, 0.763]
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SM Fit prediction for $\,\sin(2\beta)$

$0.754 \pm 0.042$ 95% prob:[0.67, 0.836] 99% prob:[0.625, 0.871]
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Compatibility Plot for $\,\sin(2\beta)$


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Fit Input for $\,\cos(2\beta)$

$0.87 \pm 0.13$ 95% prob:[0.44, 0.99] 99% prob:[0.12, 0.99]
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Full Fit result for $\,\cos(2\beta)$

$0.719 \pm 0.021$ 95% prob:[0.674, 0.757] 99% prob:[0.648, 0.773]
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SM Fit prediction for $\,\cos(2\beta)$

$0.66 \pm 0.048$ 95% prob:[0.555, 0.748] 99% prob:[0.498, 0.784]
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Compatibility Plot for $\,\cos(2\beta)$


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Fit Input for $\,2\beta+\gamma [^{\circ}]$

$-89 \pm 54 \text{ and } 90 \pm 54$ 95% prob:[-173, -6.4] U [6.8, 173.] 99% prob:[-179, -0.6] U [0.5, 180]
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Full Fit result for $\,2\beta+\gamma [^{\circ}]$

$114.2 \pm 3.4$ 95% prob:[107.5, 120.8] 99% prob:[103.9, 124]
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SM Fit prediction for $\,2\beta+\gamma [^{\circ}]$

$114.4 \pm 3.4$ 95% prob:[107.7, 121] 99% prob:[104.1, 104.3] U [104.5, 124.4]
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Compatibility Plot for $\,2\beta+\gamma [^{\circ}]$


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Fit Input for $\,\gamma [^{\circ}]$

$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$ 95% prob:[-124, -96.] U [55.7, 83.7] 99% prob:[-132, -90.] U [47.9, 89.7]
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Full Fit result for $\,\gamma [^{\circ}]$

$70.3 \pm 3.5$ 95% prob:[63, 76.5] 99% prob:[60, 80.2]
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SM Fit prediction for $\,\gamma [^{\circ}]$

$69.8 \pm 3.9$ 95% prob:[62.6, 77.6] 99% prob:[58.9, 81.5]
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Compatibility Plot for $\,\gamma [^{\circ}]$


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Fit Input for $\,\|\epsilon_{k}\|$

Gaussian likelihood used $2.228 \pm 0.011$
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Full Fit result for $\,\|\epsilon_{k}\|$

$2.228 \pm 0.039$ 95% prob:[2.205, 2.249] 99% prob:[2.195, 2.261]
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SM Fit prediction for $\,\|\epsilon_{k}\|$

$2.04 \pm 0.19$ 95% prob:[1.68, 2.45] 99% prob:[1.55, 2.68]
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Compatibility Plot for $\,\|\epsilon_{k}\|$


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Fit Input for $\,B(B\rightarrow\tau\nu), 10^{-4}$

Gaussian likelihood used $1.14 \pm 0.22$
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Full Fit result for $\,B(B\rightarrow\tau\nu), 10^{-4}$

$0.834 \pm 0.071$ 95% prob:[0.705, 0.985] 99% prob:[0.649, 1.069]
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SM Fit prediction for $\,B(B\rightarrow\tau\nu), 10^{-4}$

$0.806 \pm 0.07$ 95% prob:[0.677, 0.953] 99% prob:[0.626, 1.044]
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Compatibility Plot for $\,B(B\rightarrow\tau\nu), 10^{-4}$


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Full fit result for $\,J_{cp}, 10^{-5}$

$3.12 \pm 0.09$ 95% prob:[2.948, 3.305] 99% prob:[2.862, 3.4]
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Fit Input for $\,B(B_{s}\rightarrow ll), 10^{-9}$

$2.9 \pm 0.7$
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Full Fit result for $\,B(B_{s}\rightarrow ll), 10^{-9}$

$3.865 \pm 0.155$ 95% prob:[3.56,4.18] 99% prob:[3.469,4.323]
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SM Fit prediction for $\,B(B_{s}\rightarrow ll), 10^{-9}$

$3.91 \pm 0.16$ 95% prob:[3.60, 4.24] 99% prob:[3.46, 4.46]
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Compatibility Plot for $\,B(B_{s}\rightarrow ll), 10^{-9}$


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Fit Input for $\,B(B_{d}\rightarrow ll), 10^{-9}$

$0.37 \pm 0.15$
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Full Fit result for $\,B(B_{d}\rightarrow ll), 10^{-9}$

$0.1142 \pm 0.0069$ 95% prob:[0.1007, 0.1283] 99% prob:[0.0943, 0.1356]
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SM Fit prediction for $\,B(B_{d}\rightarrow ll), 10^{-9}$

$0.1145 \pm 0.007$ 95% prob:[0.1009, 0.1288] 99% prob:[0.0943, 0.1367]
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Compatibility Plot for $\,B(B_{d}\rightarrow ll), 10^{-9}$


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Full fit result for $\,\Delta\Gamma_{d}/\Gamma_{d}$

$0.00516 \pm 0.00037$ 95% prob:[0.00448, 0.00595] 99% prob:[0.00418, 0.0064]
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Full fit result for $\,\Delta\Gamma_{s}/\Gamma_{s}$

$0.152 \pm 0.013$ 95% prob:[0.129, 0.179] 99% prob:[0.119, 0.194]
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Full fit result for $\,\beta_{s} [^{\circ}]$

$1.073 \pm 0.042$ 95% prob:[0.994, 1.161] 99% prob:[0.956, 1.208]
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Standard Model Fit using only inclusive Vxb measurements

Parameter	Input value	Full fit	SM Prediction
$\bar{\rho}$		$0.144 \pm 0.024$
$\bar{\eta}$		$0.358 \pm 0.021$
		$0.825 \pm 0.011$
$\lambda$	$0.2253 \pm 0.0009$	$0.2254 \pm 0.0006$
$\|V_{ub}\|$	$0.00440 \pm 0.00031$	$0.00374 \pm 0.00013$
$\|V_{cb}\|$	$0.04170 \pm 0.00070$	$0.04195 \pm 0.00051$
$\alpha [^{\circ}]$	$90.9 \pm 8.0$	$89.6 \pm 3.2$	$86.3 \pm 3.8$
$\beta [^{\circ}]$		$22.61 \pm 0.89$	$24.4 \pm 1.8$
$\sin(2\beta)$	$0.680 \pm 0.023$	$0.711 \pm 0.022$	$0.754 \pm 0.042$
$\cos(2\beta)$	$0.87 \pm 0.13$	$0.705 \pm 0.022$	$0.660 \pm 0.048$
$2\beta+\gamma [^{\circ}]$	$-89 \pm 54 \text{ and } 90 \pm 54$	$113.4 \pm 3.5$
$\gamma [^{\circ}]$	$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$	$67.7 \pm 3.5$
$B(B\rightarrow\tau\nu), 10^{-4}$	$1.14 \pm 0.22$	$0.889 \pm 0.078$	$0.806 \pm 0.070$
$B(B_{s}\rightarrow ll), 10^{-9}$		$3.60 \pm 0.12$
$B(B_{d}\rightarrow ll), 10^{-9}$		$0.1118 \pm 0.0070$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} 0.97426 \pm 0.00011 & (0.22535 \pm 0.00059) & (0.00374 \pm 0.00013)e^{i(-68.4 \pm 3.5)^\circ}\\ ( -0.2252 \pm 0.00054)e^{i(0.0361 \pm 0.0010)^\circ} & (0.97339 \pm 0.00013)e^{i(-0.00193 \pm 0.00005)^\circ} & (0.04195 \pm 0.00051) \\ (0.00876 \pm 0.00019)e^{i(-22.60 \pm 0.87)^\circ} & (0.041245 \pm 0.000455)e^{i(1.084 \pm 0.041)^\circ} & (0.999115 \pm 0.000021)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.144 \pm 0.024$ 95% prob:[0.097, 0.190] 99% prob:[0.075, 0.212]
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Full fit result for $\,\bar{\eta}$

$0.358 \pm 0.021$ 95% prob:[0.328, 0.387] 99% prob:[0.315, 0.401]
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Full fit result for $\,\bar{\rho} - \bar{\eta}$


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Full fit result for $\,A$

$0.825 \pm 0.011$ 95% prob:[0.803, 0.847] 99% prob:[0.792, 0.858]
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Fit Input for $\,\lambda$

$0.2253 \pm 0.0009$ 95% prob:[0.2235, 0.2271] 99% prob:[0.2226, 0.228]
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Full Fit result for $\,\lambda$

$0.2254 \pm 0.0006$ 95% prob:[0.2241, 0.2266] 99% prob:[0.2235, 0.2272]
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Fit Input for $\,\|V_{ub}\|$

Gaussian likelihood used $0.00440 \pm 0.00031$
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Fit Input for $\,\|V_{cb}\|$

Gaussian likelihood used $0.0417 \pm 0.0007$
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Standard Model Fit using only exclusive Vxb measurements

Parameter	Input value	Full fit	SM Prediction
$\bar{\rho}$		$0.113 \pm 0.021$
$\bar{\eta}$		$0.358 \pm 0.021$
		$0.811 \pm 0.011$
$\lambda$	$0.2253 \pm 0.0009$	$0.22535 \pm 0.00065$
$\|V_{ub}\|$	$0.00342 \pm 0.00022$	$0.00357 \pm 0.00011$
$\|V_{cb}\|$	$0.03955 \pm 0.00088$	$0.04121 \pm 0.0005$
$\alpha [^{\circ}]$	$90.9 \pm 8.0$	$85.6 \pm 2.9$	$86.3 \pm 3.8$
$\beta [^{\circ}]$		$21.91 \pm 0.75$	$24.4 \pm 1.8$
$\sin(2\beta)$	$0.68 \pm 0.023$	$0.693 \pm 0.019$	$0.754 \pm 0.042$
$\cos(2\beta)$	$0.87 \pm 0.13$	$0.722 \pm 0.018$	$0.66 \pm 0.048$
$2\beta+\gamma [^{\circ}]$	$-89 \pm 54 \text{ and } 90 \pm 54$	$116.1 \pm 3.1$
$\gamma [^{\circ}]$	$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$	$72.5 \pm 3.1$
$B(B\rightarrow\tau\nu) 10^{-4}$	$1.14 \pm 0.22$	$0.818 \pm 0.065$	$0.806 \pm 0.07$
$B(B_{s}\rightarrow ll), 10^{-9}$		$3.52 \pm 0.12$
$B(B_{d}\rightarrow ll), 10^{-9}$		$0.1162 \pm 0.0066$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.97426 \pm 0.00014) & (0.22545 \pm 0.00059) & (0.00357 \pm 0.00011)e^{i(-72.6 \pm 3.1)^\circ}\\ ( -0.22525 \pm 0.00059)e^{i(0.03476 \pm 0.00096)^\circ} & (0.97342 \pm 0.00013)e^{i(-0.00186 \pm 0.00005)^\circ} & (0.04121 \pm 0.0005) \\ (0.00886 \pm 0.00018)e^{i(-21.93 \pm 0.73)^\circ} & ( -0.04042 \pm 0.0005)e^{i(1.08 \pm 0.033)^\circ} & (0.999142 \pm 0.000018)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.113 \pm 0.021$ 95% prob:[0.072, 0.155] 99% prob:[0.049, 0.179]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$0.358 \pm 0.021$ 95% prob:[0.329, 0.385] 99% prob:[0.316, 0.401]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.811 \pm 0.011$ 95% prob:[0.788, 0.832] 99% prob:[0.779, 0.846]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\lambda$

$0.2253 \pm 0.0009$ 95% prob:[0.2235, 0.2271] 99% prob:[0.2226, 0.228]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\lambda$

$0.22535 \pm 0.00065$ 95% prob:[0.2241, 0.2266] 99% prob:[0.2235, 0.2272]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\|V_{ub}\|$

$0.00342 \pm 0.00022$ 95% prob:[0.00297, 0.00385] 99% prob:[0.00276, 0.00407]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\|V_{cb}\|$

Gaussian likelihood used $0.03955 \pm 0.00088$
EPS - PDF - PNG - JPG - GIF

Tree level Fit

In principle, the presence of New Physics might affect the result of the UT analysis, changing the functional dependencies of the experimental quantities upon ρ and η. On the contrary, two constraints now available, are almost unchanged by the presence of NP: |Vub/Vcb| from semileptonic B decays and the UT angle γ from B → D(*)K decays. As usual from this fit one can gets predictions for each observable related to the Unitarity Triangle. This set of values is the minimal requirement that each model describing New Physics has to satisfy in order to be taken as a realistic description of physics beyond the Standard Model.

Parameter	Input value	Full fit
$\bar{\rho}$		$-0.136 \pm 0.051 \text{ and } 0.132 \pm 0.049$
$\bar{\eta}$		$-0.367 \pm 0.050 \text{ and } 0.369 \pm 0.050$
$\rho$		$0.135 \pm 0.051$
$\eta$		$0.378 \pm 0.050$
		$0.806 \pm 0.020$
$\lambda$		$0.2253 \pm 0.0006$
$\alpha, [^{\circ}]$		$86.2 \pm 7.6$
$\beta, [^{\circ}]$		$23.1 \pm 3.0$
$\sin(2\beta)$		$0.726 \pm 0.071$
$\gamma, [^{\circ}]$	$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$	$69.4 \pm 7.1$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.97428 \pm 0.00014) & (0.22532 \pm 0.00063) & (0.00375 \pm 0.00046)e^{i(-69.5 \pm 7.1)^\circ}\\ ( -0.22512 \pm 0.00063)e^{i(0.0353 \pm 0.0045)^\circ} & (0.97347 \pm 0.00015)e^{i(-0.00188 \pm 0.00023)^\circ} & (0.039915 \pm 0.000015 \text{ and } 0.04092 \pm 0.00098) \\ (0.00869 \pm 0.00048 \text{ and } 0.01101 \pm 0.00050)e^{i(-23.1 \pm 2.7)^\circ} & ( -0.0398 \pm 0.0010)e^{i(1.12 \pm 0.12)^\circ} & (0.999155 \pm 0.000040)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$-0.136 \pm 0.051 \text{ and } 0.132 \pm 0.049$ 95% prob:[-0.23, -0.04] U [0.041, 0.238] 99% prob:[-0.28, 0.285]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$-0.367 \pm 0.050 \text{ and } 0.369 \pm 0.050$ 95% prob:[-0.46, -0.26] U [0.27, 0.469] 99% prob:[-0.52, -0.22] U [0.223, 0.522]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.135 \pm 0.051$ 95% prob:[0.042, 0.245] 99% prob:[0, 0.292]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.378 \pm 0.050$ 95% prob:[0.281, 0.476] 99% prob:[0.242, 0.5]
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Full fit result for $\,A$

$0.806 \pm 0.020$ 95% prob:[0.766, 0.846] 99% prob:[0.746, 0.867]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\lambda$

$0.2253 \pm 0.0006$ 95% prob:[0.2241, 0.2266] 99% prob:[0.2234, 0.2272]
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Full fit result for $\,\alpha, [^{\circ}]$

$86.2 \pm 7.6$ 95% prob:[72.6, 102.] 99% prob:[68, 109.]
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Full fit result for $\,\beta, [^{\circ}]$

$23.1 \pm 3.0$ 95% prob:[17.1, 29.1] 99% prob:[15, 31.7]
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Full fit result for $\,\sin(2\beta)$

$0.726 \pm 0.071$ 95% prob:[0.574, 0.858] 99% prob:[0.506, 0.899]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\gamma, [^{\circ}]$

$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$ 95% prob:[-124, -96.] U [54.6, 83.4] 99% prob:[-132, -90.] U [47.8, 89.7]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\gamma, [^{\circ}]$

$69.4 \pm 7.1$ 95% prob:[54.5, 83.1] 99% prob:[47.8, 90.2]
EPS - PDF - PNG - JPG - GIF

Universal Unitarity Triangle (UUT) Fit

It is possible to generalize the full UTfit beyond the Standard Model to all those NP models characterized by Minimal Flavour Violation, i.e. having quark mixing ruled only by the Standard Model CKM couplings ( http://arxiv.org/abs/hep-ph/0007085). In fact, in this case no additional weak phases are generated and several observables entering into the Standard Model fit (the tree-level processes and the measurement of angles through the use of time dependent CP asymmetries) are not affected by the presence of New Physics. The only sizable effect we are sensitive to is a shift of the Inami-Lim function of the top contribution in meson mixing. This means that in general εK and Δmd cannot be used in a common SM and MFV framework. Also the ratio Δmd/Δms cannot be used in general, as Δms can get additional NP contributions at large tanβ. So, simply removing the information related to εK, Δmd and Δms from the full UTfit, one can obtain a more precise determination of the Universal Unitarity Triangle, which is a common starting point for the Standard Model and any MFV model.

Parameter	Input value	Full fit
$\bar{\rho}$		$0.135 \pm 0.029$
$\bar{\eta}$		$0.341 \pm 0.017$
$\rho$		$0.137 \pm 0.030$
$\eta$		$0.349 \pm 0.016$
		$0.807 \pm 0.019$
$\lambda$	$0.2253 \pm 0.0009$	$0.2255 \pm 0.0005$
$\alpha, [^{\circ}]$	$90.7 \pm 7.4$	$89.8 \pm 4.6$
$\beta, [^{\circ}]$		$21.45 \pm 0.87$
$\sin(2\beta)$	$0.680 \pm 0.023$	$0.681 \pm 0.022$
$\gamma, [^{\circ}]$	$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$	$68.6 \pm 4.7$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.97428 \pm 0.00014) & (0.22532 \pm 0.00063) & (0.00348 \pm 0.00016)e^{i(-68.4 \pm 4.7)^\circ}\\ ( -0.22517 \pm 0.00063)e^{i(0.0328 \pm 0.0022)^\circ} & (0.97345 \pm 0.00015)e^{i(-0.00175 \pm 0.00011)^\circ} & (0.04103 \pm 0.00097) \\ (0.00859 \pm 0.00034)e^{i(-21.40 \pm 0.87)^\circ} & ( -0.04029 \pm 0.00096)e^{i(1.032 \pm 0.050)^\circ} & (0.999151 \pm 0.000039)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.134 \pm 0.029$ 95% prob:[0.078, 0.194] 99% prob:[0.050, 0.226]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$0.341 \pm 0.017$ 95% prob:[0.308, 0.374] 99% prob:[0.290, 0.396]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.137 \pm 0.030$ 95% prob:[0.080, 0.199] 99% prob:[0.052, 0.231]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.349 \pm 0.016$ 95% prob:[0.317, 0.383] 99% prob:[0.302, 0.403]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.808 \pm 0.020$ 95% prob:[0.769, 0.848] 99% prob:[0.749, 0.868]
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Fit Input for $\,\lambda$

$0.2253 \pm 0.0009$ 95% prob:[0.2235, 0.2271] 99% prob:[0.2226, 0.228]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\lambda$

$0.2253 \pm 0.0006$ 95% prob:[0.2241, 0.2266] 99% prob:[0.2234, 0.2272]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\alpha, [^{\circ}]$

$90.7 \pm 7.4$ 95% prob:[78.5, 103.] U [162, 170.] 99% prob:[72.6, 110.] U [158, 172.] U [178., 180]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\alpha, [^{\circ}]$

$89.8 \pm 4.6$ 95% prob:[81.2, 99.6] 99% prob:[76.6, 104.]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\beta, [^{\circ}]$

$21.45 \pm 0.87$ 95% prob:[19.8, 23.3] 99% prob:[19.0, 24.3]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\sin(2\beta)$

$0.680 \pm 0.023$ 95% prob:[0.635, 0.729] 99% prob:[0.613, 0.755]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\sin(2\beta)$

$0.681 \pm 0.022$ 95% prob:[0.639, 0.728] 99% prob:[0.617, 0.752]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\gamma, [^{\circ}]$

$-109.9 \pm 7.1 \text{ and } 70.1 \pm 7.1$ 95% prob:[-124, -96.] U [55.7, 83.7] 99% prob:[-132, -90.] U [47.9, 89.7]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\gamma, [^{\circ}]$

$68.6 \pm 4.7$ 95% prob:[59, 77.6] 99% prob:[54.2, 81.9]
EPS - PDF - PNG - JPG - GIF

Neutral D mixing

Parameter	Full fit
	$0.0042 \pm 0.0018$
	$0.00642 \pm 0.00082$
	$-0.015 \pm 0.077$
$\phi [^{\circ}]$	$0.32 \pm 2.62$
$M_{12} [ps^{-1}]$	$0.0052 \pm 0.0022$
$\Gamma_{12} [ps^{-1}]$	$0.0158 \pm 0.002$
$\Phi_{12} [^{\circ}]$	$2.2 \pm 11.2$
$A_{\Gamma}$	$-0.0001 \pm 0.00074$
$A_{M}$	$-0.027 \pm 0.155$
$R_{M}$	$0.0000281 \pm 0.0000088$
$R_{D}$	$0.0034735 \pm 0.000058$
$\delta_{K\pi} [^{\circ}]$	$11 \pm 13$
$\delta_{K\pi\pi^{0}} [^{\circ}]$	$34 \pm 22$
$a_{CP}^{dir}(KK)$	$-0.0034 \pm 0.0022$
$a_{CP}^{dir}(\pi\pi)$	$0.0033 \pm 0.0024$
$\Delta a^{dir}$	$-0.0068 \pm 0.0016$

Full fit result for $\,x$

$0.0042 \pm 0.0018$ 95% prob:[0.0003, 0.0076] 99% prob:[-0.001, 0.0094]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,y$

$0.00642 \pm 0.00082$ 95% prob:[0.00489, 0.00833] 99% prob:[0.00399, 0.0093]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\|q/p\|-1$

$-0.015 \pm 0.077$ 95% prob:[-0.166, 0.172] 99% prob:[-0.244, 0.309]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\, \phi [^{\circ}]$

$0.32 \pm 2.62$ 95% prob:[-5., 6.6] 99% prob:[-8., 10.]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,M_{12} [ps^{-1}]$

$0.0052 \pm 0.0022$ 95% prob:[0.0007, 0.0090] 99% prob:[9e-05, 0.0110]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\Gamma_{12} [ps^{-1}]$

$0.0158 \pm 0.002$ 95% prob:[0.0120, 0.0203] 99% prob:[0.0097, 0.0227]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\Phi_{12} [^{\circ}]$

$2.2 \pm 11.2$ 95% prob:[-39, 35.] 99% prob:[-18, 97.]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A_{\Gamma}$

$-0.0001 \pm 0.00074$ 95% prob:[-0.0015, 0.00138] 99% prob:[-0.0023, 0.00206]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A_{M}$

$-0.027 \pm 0.155$ 95% prob:[-0.332, 0.32] 99% prob:[-0.489, 0.506]
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Full fit result for $\,R_{M}$

$0.0000281 \pm 0.0000088$ 95% prob:[1.6e-05, 5.1e-05] 99% prob:[1.4e-05, 6.7e-05]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,R_{D}$

$0.0034735 \pm 0.000057$ 95% prob:[0.003360, 0.003588] 99% prob:[0.003306, 0.003647]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\delta_{K\pi} [^{\circ}]$

$11 \pm 13$ 95% prob:[-25., 33.8] 99% prob:[-47., 42.4]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\, \delta_{K\pi\pi^{0}} [^{\circ}]$

$34 \pm 22$ 95% prob:[-9.8, 79.6] 99% prob:[-32., 104.]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,a_{CP}^{dir}(KK)$

$-0.0034 \pm 0.0022$ 95% prob:[-0.00779, 0.0011] 99% prob:[-0.00993, 0.00338]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,a_{CP}^{dir}(\pi\pi)$

$0.0033 \pm 0.0024$ 95% prob:[-0.001, 0.0081] 99% prob:[-0.003, 0.0105]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\Delta a^{dir}$

$-0.0068 \pm 0.0016$ 95% prob:[-0.00989, -0.00364] 99% prob:[-0.01144, -0.00206]
EPS - PDF - PNG - JPG - GIF

combination charm for $\,$


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combination charm for $\,$


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combination charm for $\,$


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combination charm for $\,$


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New Physics Fit

The fit presented here is meant to constrain the NP contributions to |Δ F|=2 transitions by using the available experimental information on loop-mediated processes In general, NP models introduce a large number of new parameters: flavour changing couplings, short distance coefficients and matrix elements of new local operators. The specific list and the actual values of these parameters can only be determined within a given model. Nevertheless mixing processes are described by a single amplitude and can be parameterized, without loss of generality, in terms of two parameters, which quantify the difference of the complex amplitude with respect to the SM one. Thus, for instance, in the case of $B^0_q-\bar{B}^0_q$ mixing we define $C_{B_q} \, e^{2 i \phi_{B_q}} = \frac{\langle B^0_q|H_\mathrm{eff}^\mathrm{full}|\bar{B}^0_q\rangle} {\langle B^0_q|H_\mathrm{eff}^\mathrm{SM}|\bar{B}^0_q\rangle}\,, \qquad (q=d,s),$ where $H_\mathrm{eff}^\mathrm{SM}$ includes only the SM box diagrams, while $H_\mathrm{eff}^\mathrm{full}$ also includes the NP contributions. In the absence of NP effects, $C_{B_q}=1$ and $\phi_{B_q}=0$ by definition. In a similar way, one can write $C_{\epsilon_K} = \frac{\mathrm{Im}[\langle K^0|H_{\mathrm{eff}}^{\mathrm{full}}|\bar{K}^0\rangle]} {\mathrm{Im}[\langle K^0|H_{\mathrm{eff}}^{\mathrm{SM}}|\bar{K}^0\rangle]}\,,\qquad C_{\Delta m_K} = \frac{\mathrm{Re}[\langle K^0|H_{\mathrm{eff}}^{\mathrm{full}}|\bar{K}^0\rangle]} {\mathrm{Re}[\langle K^0|H_{\mathrm{eff}}^{\mathrm{SM}}|\bar{K}^0\rangle]}\,. \label{eq:ceps}$ Concerning $\Delta m_K$ , to be conservative, we add to the short-distance contribution a possible long-distance one that varies with a uniform distribution between zero and the experimental value of $\Delta m_K$ .

The experimental quantities determined from the $B^0_q-\bar{B}^0_q$ mixings are related to their SM counterparts and the NP parameters by the following relations:

$\Delta m_d^\mathrm{exp} = C_{B_d} \Delta m_d^\mathrm{SM} \,,\; \\ \sin 2 \beta^\mathrm{exp} = \sin (2 \beta^\mathrm{SM} + 2\phi_{B_d})\,,\; \\ \alpha^\mathrm{exp} = \alpha^\mathrm{SM} - \phi_{B_d}\,, \\ \Delta m_s^\mathrm{exp} = C_{B_s} \Delta m_s^\mathrm{SM} \,,\; \\ \phi_s^\mathrm{exp} = (\beta_s^\mathrm{SM} - \phi_{B_s})\,,\; \\ \Delta m_K^\mathrm{exp} = C_{\Delta m_K} \Delta m_K^\mathrm{SM} \,,\; \\ \epsilon_K^\mathrm{exp} = C_{\epsilon_K} \epsilon_K^\mathrm{SM} \,,\; \\$

in a self-explanatory notation.

All the measured observables can be written as a function of these NP parameters and the SM ones ρ and η, and additional parameters such as masses, form factors, and decay constants.

Click on the parameter name to jump to the corresponding plot

Parameter	Input value	Full fit
$\bar{\rho}$		$0.147 \pm 0.045$
$\bar{\eta}$		$0.368 \pm 0.048$
$\rho$		$0.151 \pm 0.046$
$\eta$		$0.377 \pm 0.049$
		$0.799 \pm 0.020$
$\lambda$	$0.2253 \pm 0.0009$	$0.2253 \pm 0.0006$
$C_{B_{d}}$		$1.07 \pm 0.17$
$\phi_{B_{d}} [^{\circ}]$		$-2.0 \pm 3.2$
$C_{B_{s}}$		$1.066 \pm 0.083$
$\phi_{B_{s}} [^{\circ}]$		$0.6 \pm 2.0$
$C_{\epsilon_{K}}$		$1.05 \pm 0.16$
$A_{SL_{d}}$	$0.0032 \pm 0.0029$	$-0.0019 \pm 0.0018$
$A_{SL_{s}}$	$-0.0047 \pm 0.0052$	$-0.00011 \pm 0.00064$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.97428 \pm 0.00014) & (0.22527 \pm 0.00063) & (0.00376 \pm 0.00045)e^{i(-67.8 \pm 6.2)^\circ}\\ ( -0.22517 \pm 0.00063)e^{i(0.0347 \pm 0.0044)^\circ} & (0.97347 \pm 0.00015)e^{i(-0.00186 \pm 0.00022)^\circ} & (0.04061 \pm 0.00097) \\ (0.00847 \pm 0.00044)e^{i(-23.4 \pm 2.7)^\circ} & ( -0.03989 \pm 0.00095)e^{i(1.11 \pm 0.12)^\circ} & (0.999169 \pm 0.000039)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.147 \pm 0.045$ 95% prob:[0.065, 0.235] 99% prob:[0.034, 0.288]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$0.368 \pm 0.048$ 95% prob:[0.272, 0.466] 99% prob:[0.220, 0.525]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.151 \pm 0.046$ 95% prob:[0.066, 0.241] 99% prob:[0.035, 0.295]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.377 \pm 0.049$ 95% prob:[0.279, 0.478] 99% prob:[0.225, 0.538]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.799 \pm 0.020$ 95% prob:[0.76, 0.839] 99% prob:[0.741, 0.859]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\lambda$

$0.2253 \pm 0.0009$ 95% prob:[0.2235, 0.2271] 99% prob:[0.2226, 0.228]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\lambda$

$0.2253 \pm 0.0006$ 95% prob:[0.224, 0.2265] 99% prob:[0.2234, 0.2272]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\Phi^{NP}_{B_{d}} - A^{NP}_{d}/A^{SM}_{d}$


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\Phi^{NP}_{B_{s}} - A^{NP}_{d}/A^{SM}_{s}$


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,C_{B_{d}}$

$1.07 \pm 0.17$ 95% prob:[0.77, 1.44] 99% prob:[0.65, 1.69]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\phi_{B_{d}} [^{\circ}]$

$-2.0 \pm 3.2$ 95% prob:[-8., 4.2] 99% prob:[-12, 7.8]
EPS - PDF - PNG - JPG - GIF

correlations for $\,\Phi_{B_{d}} - C_{B_{d}}$


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Full fit result for $\,C_{B_{s}}$

$1.066 \pm 0.083$ 95% prob:[0.912, 1.245] 99% prob:[0.847, 1.351]
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Full fit result for $\,\phi_{B_{s}} [^{\circ}]$

$0.6 \pm 2.0$ 95% prob:[-3., 4.6] 99% prob:[-5., 6.7]
EPS - PDF - PNG - JPG - GIF

correlations for $\,\Phi_{B_{s}} - C_{B_{s}}$


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,C_{\epsilon_{K}}$

$1.05 \pm 0.16$ 95% prob:[0.77, 1.41] 99% prob:[0.66, 1.73]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,A_{SL_{d}}$

Gaussian likelihood used $0.0032 \pm 0.0029$
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,A_{SL_{d}}$

$-0.0019 \pm 0.0018$ 95% prob:[-0.0057, 0.00128] 99% prob:[-0.0074, 0.00336]
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Fit Input for $\,A_{SL_{s}}$

Gaussian likelihood used $-0.0047 \pm 0.0052$
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Full Fit result for $\,A_{SL_{s}}$

$-0.00011 \pm 0.00064$ 95% prob:[-0.0013, 0.00114] 99% prob:[-0.0019, 0.00181]
EPS - PDF - PNG - JPG - GIF

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