(r2) ResultsWinter2011PostLP < UTfit

Fit results: Winter 2011 (post-LP11)

Parameter	Input value	Full fit	SM Prediction
$\bar{\rho}$		$0.131 \pm 0.022$
$\bar{\eta}$		$0.354 \pm 0.015$
$\rho$		$0.134 \pm 0.022$
$\eta$		$0.363 \pm 0.015$
		$0.817 \pm 0.015$
$\lambda$	$0.225 \pm 0.0023$	$0.2252 \pm 0.001$
$\|V_{ub}\|$	$0.00382 \pm 0.00056$	$0.00362 \pm 0.00014$	$0.00361 \pm 0.00014$
$\|V_{cb}\|$	$0.041 \pm 0.001$	$0.0415 \pm 0.00072$
$\sin\theta_{12}$		$0.2252 \pm 0.001$
$\sin\theta_{23}$		$0.04146 \pm 0.00081$
$\sin\theta_{13}$		$0.00362 \pm 0.00014$
$\delta, [^{\circ}]$		$69.7 \pm 3.1$
$m_b\mathrm{ [GeV/c^{2}]}$	$4.21 \pm 0.08$
$m_c\mathrm{ [GeV/c^{2}]}$	$1.3 \pm 0.1$
$m_{t}\mathrm{ [GeV/c^{2}]}$	$164.1 \pm 0.9$	$164.05 \pm 0.95$	$153 \pm 11$
$\Delta m_{s} [\mathrm{ ps}^{-1}]$	$17.7 \pm 0.08$	$17.71 \pm 0.08$	$19.0 \pm 1.5$
$\Delta m_{d} [\mathrm{ ps}^{-1}]$	$0.507 \pm 0.004$
$\Delta m_{K} [\mathrm{ ps}^{-1}]$	$1.8 \pm 1.8$
$f_{B_{s}}$	$0.25 \pm 0.012$	$0.2348 \pm 0.0065$	$0.2291 \pm 0.0071$
$f_{B_{s}}/f_{B_{d}}$	$1.215 \pm 0.019$	$1.216 \pm 0.018$	$1.219 \pm 0.054$
$B_{B_{s}}/B_{B_{d}}$	$1.05 \pm 0.07$	$1.08 \pm 0.05$	$1.113 \pm 0.074$
$B_{B_{s}}$	$0.87 \pm 0.04$	$0.835 \pm 0.038$	$0.684 \pm 0.068$
$B_{k}$	$0.731 \pm 0.035$	$0.753 \pm 0.033$	$0.872 \pm 0.094$
$\alpha [^{\circ}]$	$91.6 \pm 6.1$	$88.0 \pm 3.0$	$85.8 \pm 3.9$
$\beta [^{\circ}]$		$22.12 \pm 0.91$	$26.4 \pm 2.3$
$\sin(2\beta)$	$0.679 \pm 0.024$	$0.697 \pm 0.024$	$0.8 \pm 0.05$
$\cos(2\beta)$	$0.87 \pm 0.13$	$0.718 \pm 0.024$	$0.607 \pm 0.059$
$2\beta+\gamma [^{\circ}]$	$-90 \pm 54 \text{ and } 90 \pm 54$	$114.2 \pm 3.8$	$114.5 \pm 3.8$
$\gamma [^{\circ}]$	$-103.9 \pm 9.2 \text{ and } 75.7 \pm 9.2$	$69.7 \pm 3.1$	$68.5 \pm 3.2$
$\|\epsilon_{k}\|$	$0.00222 \pm 0.00002$	$0.00222 \pm 0.00001$
$B(B\rightarrow\tau\nu) 10^{-4}$	$1.64 \pm 0.34$	$0.876 \pm 0.095$	$0.831 \pm 0.093$
$J_{cp} 10^{-5}$		$3.11 \pm 0.14$
$B(B_{s}\to l l), 10^{-9}$		$3.54 \pm 0.28$

The fit results for all the nine CKM elements are $V=\left(\begin{array}{ccc} (0.97427 \pm 0.00012) & (0.22545 \pm 0.00059) & (0.00362 \pm 0.00014)e^{i(-70.0 \pm 3.1)^\circ}\\ ( -0.22525 \pm 0.00059)e^{i(0.0349 \pm 0.0015)^\circ} & (0.97338 \pm 0.00012) & (0.0415 \pm 0.00072) \\ (0.00881 \pm 0.00025)e^{i(-22.13 \pm 0.8)^\circ} & ( -0.04072 \pm 0.0007)e^{i(1.075 \pm 0.044)^\circ} & (0.999136 \pm 0.00002)\end{array}\right)$

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

$0.131 \pm 0.022$ 95% prob:[0.089, 0.174] 99% prob:[0.066, 0.193]
EPS - PDF - PNG - JPG - GIF

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

$0.354 \pm 0.015$ 95% prob:[0.325, 0.384] 99% prob:[0.313, 0.400]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.134 \pm 0.022$ 95% prob:[0.091, 0.178] 99% prob:[0.069, 0.202]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.363 \pm 0.015$ 95% prob:[0.333, 0.394] 99% prob:[0.32, 0.409]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.817 \pm 0.015$ 95% prob:[0.787, 0.846] 99% prob:[0.775, 0.86] U [0.863, 0.867]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\lambda$

$0.225 \pm 0.0023$ 95% prob:[0.2206, 0.2295] 99% prob:[0.2194, 0.2306]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\lambda$

$0.2252 \pm 0.001$ 95% prob:[0.2234, 0.2274] 99% prob:[0.223, 0.2282]
EPS - PDF - PNG - JPG - GIF

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

$0.00382 \pm 0.00056$ 95% prob:[0.00282, 0.00523] 99% prob:[0.00230, 0.00581]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\|V_{ub}\|$

$0.00362 \pm 0.00014$ 95% prob:[0.00336, 0.00391] 99% prob:[0.00324, 0.00407]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,\|V_{ub}\|$

$0.00361 \pm 0.00014$ 95% prob:[0.00334, 0.00390] 99% prob:[0.00321, 0.00406]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,\|V_{ub}\|$


EPS - PDF - PNG - JPG - GIF

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

$0.041 \pm 0.001$ 95% prob:[0.039, 0.043] 99% prob:[0.03802, 0.04402]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\|V_{cb}\|$

$0.0415 \pm 0.00072$ 95% prob:[0.04008, 0.04293] 99% prob:[0.03939, 0.04367]
EPS - PDF - PNG - JPG - GIF

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

$0.2252 \pm 0.001$ 95% prob:[0.2234, 0.2274] 99% prob:[0.223, 0.2282]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\sin\theta_{23}$

$0.04146 \pm 0.00081$ 95% prob:[0.03999, 0.04309] 99% prob:[0.03933, 0.04375]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\sin\theta_{13}$

$0.00362 \pm 0.00014$ 95% prob:[0.00335, 0.00392] 99% prob:[0.00322, 0.00407]
EPS - PDF - PNG - JPG - GIF

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

$69.7 \pm 3.1$ 95% prob:[63.5, 75.9] 99% prob:[60.2, 78.8]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,m_{t}\mathrm{ [GeV/c^{2}]}$

Gaussian likelihood used $164.1 \pm 0.9$
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,m_{t}\mathrm{ [GeV/c^{2}]}$

$164.05 \pm 0.95$ 95% prob:[162, 166.] U [169., 170] 99% prob:[161., 166.] U [168., 170]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,m_{t}\mathrm{ [GeV/c^{2}]}$

$153 \pm 11$ 95% prob:[132.8, 177.2] 99% prob:[130, 191.1] U [197.4, 200]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,m_{t}\mathrm{ [GeV/c^{2}]}$


EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used $17.7 \pm 0.08$
EPS - PDF - PNG - JPG - GIF

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

$17.71 \pm 0.08$ 95% prob:[17.54, 17.87] 99% prob:[17.45, 17.92]
EPS - PDF - PNG - JPG - GIF

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

$19.0 \pm 1.5$ 95% prob:[16.1, 22.1] 99% prob:[14.8, 23.9]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used $0.25 \pm 0.012$
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,f_{B_{s}}$

$0.23475 \pm 0.00645$ 95% prob:[0.2221, 0.2479] 99% prob:[0.2164, 0.2553]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,f_{B_{s}}$

$0.2291 \pm 0.0071$ 95% prob:[0.2156, 0.2440] 99% prob:[0.2097, 0.2517]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,f_{B_{s}}$


EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used $1.215 \pm 0.019$
EPS - PDF - PNG - JPG - GIF

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

$1.2155 \pm 0.0175$ 95% prob:[1.180, 1.251] 99% prob:[1.162, 1.268]
EPS - PDF - PNG - JPG - GIF

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

$1.219 \pm 0.054$ 95% prob:[1.115, 1.327] 99% prob:[1.078, 1.387]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,f_{B_{s}}/f_{B_{d}}$


EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used $1.05 \pm 0.07$
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,B_{B_{s}}/B_{B_{d}}$

$1.08 \pm 0.05$ 95% prob:[0.981, 1.181] 99% prob:[0.933, 1.234]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,B_{B_{s}}/B_{B_{d}}$

$1.1125 \pm 0.0735$ 95% prob:[0.968, 1.262] 99% prob:[0.904, 1.350]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,B_{B_{s}}/B_{B_{d}}$


EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used $0.87 \pm 0.04$
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,B_{B_{s}}$

$0.8345 \pm 0.0375$ 95% prob:[0.761, 0.910] 99% prob:[0.723, 0.948]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,B_{B_{s}}$

$0.6835 \pm 0.0675$ 95% prob:[0.56300, 0.83900] 99% prob:[0.51100,0.93800]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,B_{B_{s}}$


EPS - PDF - PNG - JPG - GIF

Fit Input for $\,B_{k}$

$0.7305 \pm 0.0345$ 95% prob:[0.661, 0.800] 99% prob:[0.627, 0.836]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,B_{k}$

$0.7525 \pm 0.0325$ 95% prob:[0.688, 0.818] 99% prob:[0.656, 0.851]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,B_{k}$

$0.872 \pm 0.094$ 95% prob:[0.699, 1.080] 99% prob:[0.628, 1.203]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,B_{k}$


EPS - PDF - PNG - JPG - GIF

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

$91.4 \pm 6.1$ 95% prob:[75.8, 110.] 99% prob:[71.9, 115.] U [162., 180]
EPS - PDF - PNG - JPG - GIF

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

$88.0 \pm 3.0$ 95% prob:[82.1, 94.3] 99% prob:[79.3, 97.6]
EPS - PDF - PNG - JPG - GIF

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

$85.8 \pm 3.9$ 95% prob:[78, 93.9] 99% prob:[74.2, 97.9]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,\alpha [^{\circ}]$


EPS - PDF - PNG - JPG - GIF

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

$22.12 \pm 0.91$ 95% prob:[20.4, 24.0] 99% prob:[19.6, 25.1]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,\beta [^{\circ}]$

$26.4 \pm 2.3$ 95% prob:[21.8, 31.1] 99% prob:[19.7, 33.6]
EPS - PDF - PNG - JPG - GIF

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

$0.679 \pm 0.024$ 95% prob:[0.634, 0.729] 99% prob:[0.612, 0.755]
EPS - PDF - PNG - JPG - GIF

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

$0.697 \pm 0.024$ 95% prob:[0.654, 0.746] 99% prob:[0.639, 0.77]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,\sin(2\beta)$

$0.8 \pm 0.05$ 95% prob:[0.689, 0.895] U [0.998, 1] 99% prob:[0.642, 0.928] U [0.963, 1]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,\sin(2\beta)$


EPS - PDF - PNG - JPG - GIF

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

$0.87 \pm 0.13$ 95% prob:[0.44, 1] 99% prob:[0.12, 1]
EPS - PDF - PNG - JPG - GIF

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

$0.718 \pm 0.024$ 95% prob:[0.668, 0.759] 99% prob:[0.647, 0.772]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,\cos(2\beta)$

$0.607 \pm 0.059$ 95% prob:[0.5, 0.706] 99% prob:[0.5, 0.76]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,\cos(2\beta)$


EPS - PDF - PNG - JPG - GIF

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

$-90 \pm 54 \text{ and } 90 \pm 54$ 95% prob:[-172, -5.4] U [5.4, 171.] 99% prob:[-180, 178]
EPS - PDF - PNG - JPG - GIF

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

$114.2 \pm 3.8$ 95% prob:[106.8, 121.3] 99% prob:[103.3, 124.7]
EPS - PDF - PNG - JPG - GIF

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

$114.5 \pm 3.8$ 95% prob:[107, 121.5] 99% prob:[103.5, 124.9]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,2\beta+\gamma [^{\circ}]$


EPS - PDF - PNG - JPG - GIF

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

$-103.9 \pm 9.2 \text{ and } 75.7 \pm 9.2$ 95% prob:[-123, -85.] U [57, 94.5] 99% prob:[-133, -76] U [47.8, 48.1] U [49.6, 103.]
EPS - PDF - PNG - JPG - GIF

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

$69.7 \pm 3.1$ 95% prob:[63.4, 75.9] 99% prob:[60.3, 78.9]
EPS - PDF - PNG - JPG - GIF

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

$68.5 \pm 3.2$ 95% prob:[62, 75.4] 99% prob:[59, 78.6]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,\gamma [^{\circ}]$


EPS - PDF - PNG - JPG - GIF

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

$0.00222194 \pm 0.00002$ 95% prob:[0.00218345, 0.00226243] 99% prob:[0.00218045, 0.00229243]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\|\epsilon_{k}\|$

$0.00222904 \pm 0.00002$ 95% prob:[0.0021996, 0.00225449] 99% prob:[0.00219162, 0.00226547]
EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used $1.64 \pm 0.34$
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,B(B\rightarrow\tau u) 10^{-4}$

$0.876 \pm 0.095$ 95% prob:[0.695, 1.06] 99% prob:[0.654, 1.134]
EPS - PDF - PNG - JPG - GIF

SM Fit prediction for $\,B(B\rightarrow\tau u) 10^{-4}$

$0.831 \pm 0.093$ 95% prob:[0.664, 1.012] 99% prob:[0.623, 1.108]
EPS - PDF - PNG - JPG - GIF

Compatibility Plot for $\,B(B\rightarrow\tau u) 10^{-4}$


EPS - PDF - PNG - JPG - GIF

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

$3.11 \pm 0.14$ 95% prob:[2.83, 3.38] 99% prob:[2.74, 3.49]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,B(B_{s}\to l l), 10^{-9}$

$3.54 \pm 0.28$ 95% prob:[3, 4.13] 99% prob:[2.77, 4.44]
EPS - PDF - PNG - JPG - GIF

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
$\bar{\rho}$		$0.134 \pm 0.044$
$\bar{\eta}$		$0.403 \pm 0.058$
$\rho$		$0.137 \pm 0.045$
$\eta$		$0.439 \pm 0.058$
		$0.804 \pm 0.021$
$\lambda$	$0.225 \pm 0.0023$	$0.22515 \pm 0.00095$
$C_{B_{d}}$		$0.81 \pm 0.12$
$\phi_{B_{d}} [^{\circ}]$		$-3.4 \pm 3.7$
$C_{B_{s}}$		$0.87 \pm 0.1$
$\phi_{B_{s}} [^{\circ}]$		$-6.9 \pm 5.6$
$C_{\epsilon_{K}}$		$0.99 \pm 0.17$
$A_{SL_{d}}$		$-0.0051 \pm 0.0023$
$A_{SL_{s}}$		$-0.0017 \pm 0.0012$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.97427 \pm 0.00012) & (0.22535 \pm 0.00059) & (0.00397 \pm 0.00052)e^{i(-70.8 \pm 4.9)^\circ}\\ ( -0.22525 \pm 0.00059)e^{i(0.0376 \pm 0.0047)^\circ} & (0.97347 \pm 0.00015) & (0.04082 \pm 0.00097) \\ (0.00877 \pm 0.00041)e^{i(-24.5 \pm 2.7)^\circ} & ( -0.04009 \pm 0.00095)e^{i(1.19 \pm 0.11)^\circ} & (0.99916 \pm 3.6\times 10^{-5})\end{array}\right)$

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

$0.134 \pm 0.044$ 95% prob:[0.052, 0.240] U [0.389, 0.4] 99% prob:[0.033, 0.286] U [0.340, 0.4]
EPS - PDF - PNG - JPG - GIF

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

$0.403 \pm 0.058$ 95% prob:[0.297, 0.498] 99% prob:[0.234, 0.5]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.137 \pm 0.045$ 95% prob:[0.055, 0.246] U [0.384, 0.4] 99% prob:[0.034, 0.291] U [0.338, 0.4]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.439 \pm 0.058$ 95% prob:[0.309, 0.5] 99% prob:[0.242, 0.5]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.804 \pm 0.021$ 95% prob:[0.764, 0.844] 99% prob:[0.747, 0.862] U [0.863, 0.865]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\lambda$

$0.225 \pm 0.0023$ 95% prob:[0.2206, 0.2295] 99% prob:[0.2194, 0.2306]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\lambda$

$0.22515 \pm 0.00095$ 95% prob:[0.2234, 0.2272] 99% prob:[0.223, 0.2279]
EPS - PDF - PNG - JPG - GIF

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

$0.81 \pm 0.12$ 95% prob:[0.59, 1.09] 99% prob:[0.53, 1.28]
EPS - PDF - PNG - JPG - GIF

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

$-3.4 \pm 3.7$ 95% prob:[-10, 3.9] 99% prob:[-14, 7.5]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

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

$0.87 \pm 0.1$ 95% prob:[0.67, 1.07] 99% prob:[0.59, 1.17]
EPS - PDF - PNG - JPG - GIF

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

$-6.9 \pm 5.6$ 95% prob:[-89, -80] U [-15, 2.6] 99% prob:[-90, -74] U [-19, 3.8]
EPS - PDF - PNG - JPG - GIF

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


EPS - PDF - PNG - JPG - GIF

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

$0.99 \pm 0.17$ 95% prob:[0.70, 1.39] 99% prob:[0.60, 1.71]
EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used
EPS - PDF - PNG - JPG - GIF

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

$-0.0051 \pm 0.0023$ 95% prob:[-0.0093, -0.0003] 99% prob:[-0.0113, 0.00181]
EPS - PDF - PNG - JPG - GIF

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

Gaussian likelihood used
EPS - PDF - PNG - JPG - GIF

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

$-0.0017 \pm 0.0012$ 95% prob:[-0.0041, 0.00052] 99% prob:[-0.0051, 0.00151]
EPS - PDF - PNG - JPG - GIF

Webs
System
UTfit

Ideas, requests, problems regarding this web site? Send feedback